default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDGECCO 2024: Melbourne, VIC, Australia
- Xiaodong Li, Julia Handl:
Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO 2024, Melbourne, VIC, Australia, July 14-18, 2024. ACM 2024, ISBN 979-8-4007-0495-6
Competition Summary / Entry: Competition Abstract Multi-Agent Logistics
- Daan Apeldoorn
, Alexander Dockhorn, Torsten Panholzer:
AbstractSwarm Multi-Agent Logistics Competition: Multi-Agent Collaboration for Improving A Priori Unknown Logistics Scenarios. 1-2
Competition Summary / Entry: Competition Benchmarking Niching Methods for Multimodal Optimization
- Xiang Shu, Yiyi Zhu, Renji Zhang, Xiang Xia, Bingdong Li, Hong Qian:
Automated Design Competition Technical Report: Cascaded Structure and Parameter Optimization Based on Prior Knowledge. 3-4 - Ali Ahrari, Jonathan E. Fieldsend, Mike Preuss, Xiaodong Li, Michael Epitropakis:
Experimental Setup for GECCO 2024 Competition on Benchmarking Niching Methods for Multimodal Optimization. 5-6
Competition Summary / Entry: Competition Dynamic Stacking Optimization in Uncertain Environments
- Johannes Karder, Sebastian Leitner, Bernhard Werth, Stefan Wagner:
DynStack Competition - Dynamic Stacking Optimization in Uncertain Environments. 7-8
Competition Summary / Entry: Competition Evolutionary Computation in the Energy Domain: PV System Allocation
- Rui Qi, Ya-Hui Jia:
Key Strategies for Optimal PV System Allocation. 9-10
Competition Summary / Entry: Competit Interpretable Control Competition
- Giorgia Nadizar, Luigi Rovito, Dennis G. Wilson, Eric Medvet:
Interpretable Control Competition. 11-12
Competition Summary / Entry: Competitionmpetition Machine Learning for Evolutionary Computation - Solving the Vehicle Routing Problems (ML4VRP)
- Weiyao Meng, Rong Qu, Nelishia Pillay:
Machine Learning for Evolutionary Computation - the Vehicle Routing Problems Competition. 13-14 - Muhammad Irtiza, Rudri Kalaria, A. S. M. Kayes:
A Reinforcement Learning-assisted Evolutionary Computing Approach to Capacitated Vehicle Routing with Time Windows. 15-16 - Ha Minh Hieu, Hung Phan, Duc Chinh Tran, Duc Cuong Van, Dao Van Tung, Huynh Thi Thanh Binh:
Alimentation Deep Multiple Optimal Ant Colony Optimization to solve Vehicle Routing Problem with Time Windows. 17-18
Competition Summary / Entry: Competition Numerical Global Optimization Competition on GNBG-Generated Test Suite
- Adam Viktorin, Michal Pluhacek, Tomas Kadavy, Jozef Kovác, Peter Janku, Roman Senkerik:
DISH Solving the GNBG-generated Test Suite. 19-20
Competition Summary / Entry: Competition SpOC: Space Optimisation Compeition
- Max Bannach, Emmanuel Blazquez, Dario Izzo, Giacomo Acciarini, Alexander Hadjiivanov, Gernot Heißel, Rita Mastroianni, Sebastien Origer, Jai Grover, Dominik Dold, Zacharia Rudge:
The Space Optimization Competition: Third Edition. 21-22
Hot Off the Press
- Mohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi, Julia Handl:
A Review of Randomness Techniques in Deep Neural Networks. 23-24 - Martin Briesch, Ryan Boldi, Dominik Sobania, Alexander Lalejini, Thomas Helmuth, Franz Rothlauf, Charles Ofria, Lee Spector:
Improving Lexicase Selection with Informed Down-Sampling. 25-26 - Sacha Cerf, Benjamin Doerr, Benjamin Hebras, Yakob Kahane, Simon Wietheger:
Hot off the Press: The First Proven Performance Guarantees for the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) on a Combinatorial Optimization Problem. 27-28 - Yao-Hsin Chou, Cheng-Yen Hua, Shu-Yu Kuo, Yu-Chi Jiang, Sy-Yen Kuo:
Evo-Panel: Dynamic Visualization Tool for Optimization Process. 29-30 - Roy de Winter, Bas Milatz, Julian Blank, Niki van Stein, Thomas Bäck, Kalyanmoy Deb:
Hot off the Press: Parallel Multi-Objective Optimization for Expensive and Inexpensive Objectives and Constraints. 31-32 - Matthieu Dinot, Benjamin Doerr, Ulysse Hennebelle, Sebastian Will:
Hot off the Press: Runtime Analyses of Multi-Objective Evolutionary Algorithms in the Presence of Noise. 33-34 - Benjamin Doerr, Aymen Echarghaoui, Mohammed Jamal, Martin S. Krejca:
Runtime Analysis of the (μ + 1) GA: Provable Speed-Ups from Strong Drift towards Diverse Populations. 35-36 - Kei Sen Fong, Mehul Motani:
Enhancing Prediction, Explainability, Inference and Robustness of Decision Trees via Symbolic Regression-Discovered Splits. 37-38 - Stefan Klikovits, Cédric Ho Thanh, Ahmet Cetinkaya, Paolo Arcaini:
Trust Your Neighbours: Handling Noise in Multi-Objective Optimisation Using kNN-Averaging (GECCO'24 Hot off the Press). 39-40 - Yuri Cossich Lavinas, Marcelo Ladeira, Gabriela Ochoa, Claus Aranha:
Multiobjective Evolutionary Component Effect on Algorithm Behavior. 41-42 - Paul-Antoine Le Tolguenec, Emmanuel Rachelson, Yann Besse, Dennis Wilson:
Summary of "Curiosity creates Diversity in Policy Search". 43-44 - Davide Li Calsi, Matias Duran, Xiao-Yi Zhang, Paolo Arcaini, Fuyuki Ishikawa:
Distributed Repair of Deep Neural Networks (Hot off the Press at GECCO 2024). 45-46 - Tomás Mauder, Jakub Kudela, Lubomír Klimes, Martin Zálesák, Pavel Charvát:
Hot Off the Press: Soft computing methods in the solution of an inverse heat transfer problem with phase change. 47-48 - Daiki Morinaga, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto:
Linear Convergence Rate Analysis of the (1+1)-ES on Locally Strongly Convex and Lipschitz Smooth Functions. 49-50 - Andre Opris, Duc-Cuong Dang, Dirk Sudholt:
Hot of the Press: Crossover Can Guarantee Exponential Speed-Ups in Evolutionary Multi-Objective Optimisation. 51-52 - Joseph Renzullo, Westley Weimer, Stephanie Forrest:
Combining Online Learning with Mutation-Based Stochastic Search to Repair Buggy Programs. 53-54 - Valentino Santucci, Josu Ceberio:
Model-based Gradient Search using the Plackett-Luce model. 55-56 - Linas Stripinis, Jakub Kudela, Remigijus Paulavicius:
Hot Off the Press: Benchmarking Derivative-Free Global Optimization Algorithms under Limited Dimensions and Large Evaluation Budgets. 57-58 - Shion Takeno, Masahiro Nomura, Masayuki Karasuyama:
Hot off the Press: Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes. 59-60 - Ziming Wang, Changwu Huang, Xin Yao:
Feature Attribution Explanation Based on Multi-Objective Evolutionary Learning. 61-62 - Simon Wietheger, Benjamin Doerr:
A Mathematical Runtime Analysis of the Non-dominated Sorting Genetic Algorithm III (NSGA-III). 63-64 - Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
A Semantic-based Hoist Mutation Operator for Evolutionary Feature Construction in Regression [Hot off the Press]. 65-66 - Weijie Zheng, Benjamin Doerr:
Hot off the Press: Runtime Analysis for the NSGA-II: Proving, Quantifying, and Explaining the Inefficiency For Many Objectives. 67-68 - Weijie Zheng, Benjamin Doerr:
Hot off the Press: Runtime Analysis of the SMS-EMOA for Many-Objective Optimization. 69-70 - Weijie Zheng, Mingfeng Li, Renzhong Deng, Benjamin Doerr:
How to Use the Metropolis Algorithm for Multi-Objective Optimization? 71-72
Late-Breaking Abstract
- Jeremiah Abimbola, Daniel Kostrzewa, Pawel Kasprowski:
Genetic Algorithm-Based Optimization ofWeighted Voting in Ensemble Models for Time Signature Detection. 73-74 - Mayowa Ayodele:
Utilising Quantum Hybrid Solver for Bi-objective Quadratic Assignment Problems. 75-76 - Kehinde O. Babaagba, Ritwik Murali, Sarah L. Thomson:
Exploring the use of fitness landscape analysis for understanding malware evolution. 77-78 - Pawel Benecki, Daniel Kostrzewa, Piotr Grzesik, Bohdan Shubyn, Dariusz Mrozek:
Enhancing Anomaly Detection in Automated Guided Vehicles through Feature Weight Optimization. 79-80 - Guillaume Briffoteaux, Andrew Ciezak, Pablo Moscato:
Towards Target Derivatives-Enhanced Continued Fraction Regression. 81-82 - Jinyu Cai, Jinglue Xu, Jialong Li, Takuto Yamauchi, Hitoshi Iba, Kenji Tei:
Exploring the Improvement of Evolutionary Computation via Large Language Models. 83-84 - Min Chen, Yanyan Zhang:
A decision space variable topology feature visualization and clustering method for Dynamic Multi-objective Optimization. 85-86 - Carlos Cotta, Jesús Martínez-Cruz:
Energy Consumption Analysis of Batch Runs of Evolutionary Algorithms. 87-88 - Carlos Cotta:
Navigating the Aisles: Evolutionary Algorithms for Supermarket Evacuation Planning. 89-90 - Korben Diarchangel, Liam Francisco, Jude Koenig, Sushil J. Louis:
Evolving Potential Fields for Rules of the Road Compliant Ship Driving. 91-92 - Anton V. Eremeev, Valentin Topchii:
Generalization of the Heavy-Tailed Mutation in the (1+(λ, λ)) Genetic Algorithm. 93-94 - Seung-Yeol Hong, Yong-Hyuk Kim:
A Memetic Algorithm for Deployment of Search and Rescue Units. 95-96 - Ruben Horn, Sarah L. Thomson, Daan van den Berg, Pieter Adriaans:
The Easiest Hard Problem: Now Even Easier. 97-98 - Weiyan Jia, Lixin Tang, Yang Yang, Yun Dong:
Bi-objective approach for lot-sizing problem in cold rolling production planning. 99-100 - Matthew Andres Moreno, Connor Yang, Emily L. Dolson, Luis Zaman:
Trackable Island-model Genetic Algorithms at Wafer Scale. 101-102 - Stefan Pricopie, Richard Allmendinger, Manuel López-Ibáñez, Clyde Fare, Matt Benatan, Joshua D. Knowles:
Bayesian Optimization with Setup Switching Cost. 103-104 - Bogdan Ruszczak:
Coupling Temporal Convolutional Networks with Anomaly Detection and CMA-ES for the Electricity Price Forecasting. 105-106 - Ning Sun, Shuwei Zhu:
Modeling and Optimization of Energy Consumption in Data-driven Factory Air Conditioning System. 107-108 - Zhuoran Sun, Ying Ying Liu, Parimala Thulasiraman, Ruppa K. Thulasiram:
Parallel Co-Evolutionary Algorithm and Implementation on CPU-GPU Multicore. 109-110 - Nan Sun, Shuwei Zhu:
Surrogate Modeling in Efficient Evolutionary Multiobjective Clustering Algorithm. 111-112 - Vivek Yelleti, Vadlamani Ravi, P. Radha Krishna:
Online Feature Subset Selection in Streaming Features by Parallel Evolutionary Algorithms. 113-114 - Seo-Ah Yu, Yong-Hyuk Kim:
Enhancing Graph Cut Search through a Surrogate-Assisted Genetic Algorithm with Edge-Based Encoding. 115-116 - Weiwei Zhang, Meiling Xu, Lixin Tang:
Joint Entropy Enhanced Multi-objective Bayesian Optimization for Graph Pruning. 117-118
Poster Session: Benchmarking, Benchmarks Software and Reproducibility
- Marcus Gallagher, Mario A. Muñoz:
Towards an Improved Understanding of Features for More Interpretable Landscape Analysis. 135-138 - Sara Hajari, Marcus Gallagher:
Searching for Benchmark Problem Instances from Data-Driven Optimisation. 139-142 - Ana Nikolikj, Tome Eftimov:
Comparing Solvability Patterns of Algorithms across Diverse Problem Landscapes. 143-146 - Anthony Rasulo, Kate Smith-Miles, Mario A. Muñoz, Julia Handl, Manuel López-Ibáñez:
Extending Instance Space Analysis to Algorithm Configuration Spaces. 147-150 - Quentin Renau, Johann Dréo, Emma Hart:
Ealain: A Camera Simulation Tool to Generate Instances for Multiple Classes of Optimisation Problem. 151-154 - Jeroen Rook, Holger H. Hoos, Heike Trautmann:
Multi-objective Ranking using Bootstrap Resampling. 155-158 - Elizaveta Yu. Shmalko, Askhat I. Diveev:
Benchmark Problems for Machine Learning in Control Synthesis. 2123-2126 - Tianxing Yang, Huigen Ye, Hua Xu:
Learning to Generate Scalable MILP Instances. 159-162 - Yifan Zhao, Zhenyu Liang, Zhichao Lu, Ran Cheng:
A Multi-objective Optimization Benchmark Test Suite for Real-time Semantic Segmentation. 163-166
Poster Session: Complex Systems
- Ryan Boldi, Matthew C. Fontaine, Sumeet Batra, Gaurav S. Sukhatme, Stefanos Nikolaidis:
Generating Diverse Critics for Conditioned Policy Distillation. 167-170 - Ryan Boldi, Li Ding, Lee Spector:
Solving Deceptive Problems Without Explicit Diversity Maintenance. 171-174 - Eleni Nisioti, Erwan Plantec, Milton Montero, Joachim Winther Pedersen, Sebastian Risi:
Growing Artificial Neural Networks for Control: the Role of Neuronal Diversity. 175-178 - Vassilis Papadopoulos, Guilhem Doat, Arthur Renard, Clément Hongler:
Looking for Complexity at Phase Boundaries in Continuous Cellular Automata. 179-182
Poster Session: Evolutionary Combinatorial Optimization and Metaheuristics
- Abdennour Azerine, Mahmoud Golabi, Ammar Oulamara, Lhassane Idoumghar:
Enhancing Electric Vehicle Charging Schedules: A Surrogate-Assisted Approach. 183-186 - Qinan Chen, Qiqi Xia, Kaixuan Sun, Jin Wang, Bo Yuan:
Memetic Algorithm for Multi-objective Virtual Network Slice Configuration. 187-190 - Francesca Da Ros, Luca Di Gaspero, Marie-Louise Lackner, Nysret Musliu, Felix Winter:
Local Search Algorithms for the Oven Scheduling Problem. 191-194 - Olivier Goudet, Adrien Goëffon, Frédéric Saubion, Sébastien Vérel:
Emergence of Strategies for Univariate Estimation-of-Distribution Algorithms with Evolved Neural Networks. 195-198 - Tianyang Li, Ying Meng, Lixin Tang:
Symmetry Parallel Search Strategy For Permutation-related Optimization Problems. 199-202 - Tri Phan, Khang Tran, Ngoc Hoang Luong:
Combining Adaptive Large Neighborhood Search with Guided Ejection Search for Real-World Multiple-Vehicle Pickup and Delivery Problem with Time Windows. 203-206 - Sara Salim, Ismail M. Ali, Sondoss Elsawah:
A Secure Simulation-optimisation Framework for Fleet Mix Problem: A Defence-based Real-world Application. 207-210 - Xavier F. C. Sánchez-Díaz, Ole Jakob Mengshoel:
Estimating the Number of Local Optima in Multimodal Pseudo-Boolean Functions: Validation via Landscapes of Triangles. 211-214 - Rodrigo Fernando Velázquez Cruz, Carlos Ignacio Hernández Castellanos:
"A Cooperative Multi Indicator-Based Ant Colony Optimization Algorithm for the MOGenConVRP". 215-218 - Xian-Ping Wang, Xin-Xin Xu, Yi Jiang, Sheng Bi, Yanchun Liang, Zhi-Hui Zhan:
Distributed Ensemble Hyper-Heuristic Algorithm for Aircraft Arrival Sequencing and Scheduling Problem. 219-222 - Deming Wu, Qiang Yang, Changjun Zhou, Zhonglong Zheng, Jun Zhang:
Adapted Ant Colony Optimization for Large-Scale Orienteering Problem. 223-226 - Vivek Yelleti, Vadlamani Ravi, P. Radha Krishna:
Novelty Detection and Feedback based Online Feature Subset Selection for Data Streams via Parallel Hybrid Particle Swarm Optimization Algorithm. 227-230 - Han Zhang, Qing Li, Xin Yao:
PEACH: A Multi-Objective Evolutionary Algorithm for Complex Vehicle Routing with Three-Dimensional Loading Constraints. 231-234 - Rui Zhao, Tianyu Liang, Zhize Wu, Daan van den Berg, Matthias Thürer, Thomas Weise:
Randomized Local Search on the 2D Rectangular Bin Packing Problem with Item Rotation. 235-238
Poster Session: Evolutionary Machine Learning
- Mohammad Reza Pour-Hosseini, Mahdi Abbasi, Bahman Javadi, Seifeddine Benelghali, Hassan Haghighi, Ehsan Mohammadi Pasand, Parham Moradi:
Efficient Edge Computing: Harnessing Compact Machine Learning Models for Workload Optimization. 239-242 - Fuma Aki, Riku Ikeda, Takumi Saito, Ciaran Regan, Mizuki Oka:
LLM-POET: Evolving Complex Environments using Large Language Models. 243-246 - Hayden Andersen, Andrew Lensen, Will N. Browne, Yi Mei:
Intepretable Local Explanations Through Genetic Programming. 247-250 - Francisco Baeta, João Correia, Tiago Martins, Penousal Machado:
Exploring Evolutionary Generators within Generative Adversarial Networks. 251-254 - Epifanios Baikas, Danesh Tarapore, David Thomas:
Evolutionary Data Subset Selection for Class-Incremental Learning on Memory-Constrained Systems. 255-258 - Andrea Calabrese, Stefano Quer, Giovanni Squillero, Alberto Tonda:
Towards an Evolutionary Approach for Exploting Core Knowledge in Artificial Intelligence. 259-262 - Yehang Chen, Yu Zhang, Xinyue Li, Wang Hu:
Multi-Criterion Feature Selection Based on Clustering Symbolic Regression. 263-266 - Joshua Cook, Kagan Tumer:
Multidimensional Archive Of The State Space. 267-270 - Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
Evolutionary Sparse Coding and Graph Regularisation for Embedded Multi-label Feature Selection. 271-274 - Arno Feiden, Biagio Paparella, Jochen Garcke:
Generalizing Diversity with the Signature Transform. 275-278 - Jose Guadalupe Hernandez, Anil Kumar Saini, Jason H. Moore:
Lexidate: Model Evaluation and Selection with Lexicase. 279-282 - David Herrera-Sánchez, Héctor-Gabriel Acosta-Mesa, Efrén Mezura-Montes, Aldo Márquez-Grajales:
Shifting Color Space for Image Classification using Genetic Programming. 283-286 - Luke Kelly, Martin Masek, Chiou Peng Lam:
Behaviour Discovery in Real-Time Strategy Games using Cooperative Co-evolution with Dynamic Binary Tree Decomposition. 287-290 - Luke Kelly, Martin Masek, Chiou Peng Lam, Brandon Abela, Ashu Gupta:
Evolving Visual Counterfactual Medical Imagery Explanations with Cooperative Co-evolution using Dynamic Decomposition. 291-294 - Jingeun Kim, Yourim Yoon:
Efficient Pruning of DenseNet via a Surrogate-Model-Assisted Genetic Algorithm. 295-298 - Suraj Kumar Pandey, Shivashankar B. Nair:
Onboard Class Incremental Learning for Resource-Constrained scenarios using Genetic Algorithm and TinyML. 299-302 - David Pätzel, Richard Nordsieck, Jörg Hähner:
Length-niching Selection and Spatial Crossover in Variable-length Evolutionary Rule Set Learning. 303-306 - Gayathri Rangu, Shivashankar B. Nair:
Immuno-inspired Selective Aggregation for Decentralized Federated Deep Reinforcement Learning. 307-310 - Nabangshu Sinha, Carlo Lucheroni:
Time-varying Echo State Networks: Harnessing Dynamic Parameters for Robust Time-Series Analysis. 311-314 - Fumito Uwano, Will Neil Browne:
Cognitive Learning System for Sequential Aliasing Patterns of States in Multistep Decision-Making. 315-318 - Matthew Vandergrift, Ting Hu:
ATOMIC: an Interpretable Clustering Method Based on Data Topology. 319-322 - Naoya Yatsu, Hiroki Shiraishi, Hiroyuki Sato, Keiki Takadama:
Generating High-Dimensional Prototypes with a Classifier System by Evolving in Latent Space. 2127-2130 - Bai-Jiang Yu, Feng-Feng Wei, Tai-You Chen, Wei-Neng Chen:
An Improved Evolutionary Reinforcement Learning Algorithm for UAV Online Target Tracking. 323-326 - Yuheng Zhou, Haopu Shang, Yu-Chang Wu, Chao Qian:
Instance-Label Based Multi-Label Active Learning by Evolutionary Multi-Objective Optimization. 327-330
Poster Session: Evolutionary Multiobjective Optimization
- Siamak Ghodsi, Sahar Tahmasebi, Mahdi Jalili, Parham Moradi:
Many-Objective Evolutionary Optimization using Density Peaks Scoring Selection Strategy. 331-334 - Juan Carlos Gómez-López, Daniel Castillo-Secilla, Jesús González:
Improving the Performance of EA-based Multi-population Models for Feature Selection Problems by Reducing the Individual Size in the Initial Population. 335-338 - Arash Heidari, Sebastian Rojas-Gonzalez, Tom Dhaene, Ivo Couckuyt:
Lower Confidence Bound for Preference Selection in Interactive Multi-Objective Optimization. 339-342 - Qingwei Liang, Shu-Chuan Chu, Pei-Cheng Song, Jia Zhao, Zne-Jung Lee, Jeng-Shyang Pan:
A Multi-objective Evolutionary Algorithm based on Hierarchical Grouping for Large-scale Multi-objective Optimization. 343-346 - Likun Liu, Ryosuke Ota, Takahiro Yamamoto, Naoki Hamada, Daisuke Sakurai:
Visualization of Multiobjective Multimodal Benchmarking Based on Basin Connectivity. 347-350 - Ruitao Mai, Yifeng Qiu, Wenji Li, Zhaojun Wang, Biao Xu, Wei Chen, Jiafan Zhuang, Yun Li, Zhun Fan:
Expensive Constrained Multi-objective Evolutionary Algorithm with Pareto Set Learning. 351-354 - Anna Nickelson, Kagan Tumer:
Redefining the Behavior Space for Multi-Objective MAP-Elites. 355-358 - Geoff Nitschke, Bilal Aslan, Flávio S. Corrêa da Silva:
Multi-Objective Evolution for Chemical Product Design. 359-362 - Rubén Saborido, Ana Belen Ruiz, Sandra González-Gallardo, Mariano Luque, Antonio Borrego:
Composite Quality Indicators to Evaluate the Performance of Population-based Multiobjective Optimization Algorithms. 363-366 - Ananta Shahane, Niki van Stein, Yingjie Fan:
A Corridor Model Evolutionary Algorithm for Fast Converging Green Vehicle Routing Problem. 2131-2134 - Yudai Tagawa, Hernán E. Aguirre, Kiyoshi Tanaka:
Simple Distributed Bit Climber for Many-objective Optimization of Binary Epistatic Problems. 367-370 - Kendall Peter Taylor, Huong Ha, Minyi Li, Xiaodong Li, Jeffrey Chan:
Accelerated Bayesian Preference Learning for Efficient Evolutionary Multi-objective Optimisation. 371-374 - Michal Tomczyk, Milosz Kadzinski:
Interactive tool for visualizing the comprehensive performance of evolutionary multi-objective algorithms applied to problems with two or three objectives. 375-378 - Xueqing Wang, Jinhua Zheng, Juan Zou, Zhanglu Hou, Shengxiang Yang, Yuan Liu:
A Dynamic Preference-driven Evolutionary Algorithm for Solving Dynamic Multi-objective Problems. 379-382 - Yutaro Yamada, Kento Uchida, Shinichi Shirakawa:
How to Make Multi-Objective Evolutionary Algorithms Invariant to Monotonically Increasing Transformation of Objective Functions. 383-386 - Wanqiu Zhao, Qi Qiu, Hong Zhao, Xu Bian, He Yu, Jing Liu, Xuesong Mei:
Multi-population for Multi-objective Genetic Algorithm with Adaptive Information Sharing Strategy for Berth Allocation and Quay Crane Assignment Problems. 387-390 - Jinlong Zhou, Yinggui Zhang, Fan Yu:
A Competitive Swarm Algorithm Based on Tri-Competitive Criterion for Constrained Multiobjective Optimization. 391-394 - Xinyuan Zhu, Yuji Sato, Mikiko Sato:
The Optimal Zone Breadth for Parallel and Distributed MOEA/D with Virtual Overlap Zone and Exclusively Evaluated Mating. 395-398 - Juan Zou, Tianbin Xie, Qi Deng, Xiaozhong Yu, Shengxiang Yang, Jinhua Zheng:
Differential Evolution based on Local Grid Search for Multimodal Multiobjective Optimization with Local Pareto Fronts. 399-402
Poster Session: Evolutionary Numerical Optimization
- Gjorgjina Cenikj, Gasper Petelin, Tome Eftimov:
TransOptAS: Transformer-Based Algorithm Selection for Single-Objective Optimization. 403-406 - Xiaoyue Li, Timo Kötzing:
Algorithm Performance Comparison for Integer-Valued OneMax. 407-410 - Behzad Moradi, Michael Kirley, Mario Andrés Muñoz Acosta:
Sensitivity Analysis of Surrogate-assisted Bilevel Optimisation. 411-414 - Duc Manh Nguyen:
A Combination of CMA-ES with Probability Distributions of Integer Variables for Mixed-Integer Black-Box Optimization. 415-418 - Gasper Petelin, Gjorgjina Cenikj:
On Generalization of ELA Feature Groups. 419-422 - Haotian Zhang, Jialong Shi, Jianyong Sun, Ali Wagdy Mohamed, Zongben Xu:
A Gradient-based Method for Differential Evolution Parameter Control by Smoothing. 423-426
Poster Session: Genetic Algorithms
- Jack Garbus, Thomas Willkens, Alexander Lalejini, Jordan Pollack:
Accelerating Co-Evolutionary Learning Through Phylogeny-Informed Interaction Estimation. 427-430 - Jie He, Yaohong Zhang, Ji Wang, Xiaoqing Li, Weidong Bao:
Hypernetwork-Based Multi-Objective Optimization with NSGA-II. 431-434 - Toki Tahmid Inan, Amarda Shehu:
Revisiting Evolutionary Algorithms for Optimization for Deep Learning: Introducing DL-HEA: EAs for Optimization for Deep Learning. 435-438 - Neha Jain, Andrew Hornback, May Dongmei Wang:
EMxDesign: A Genetic Algorithm for High Affinity Drug Design. 439-442 - Sydney Leither, Vincent R. Ragusa, Emily L. Dolson:
Evolving Weighted and Directed Graphs with Constrained Properties. 443-446 - Hari Mohan Pandey:
Genetic Algorithm with Modified Reproduction Operators for Grammatical Inference. 2135-2138 - Kanchan Rajwar, Yogesh Kumar, Kusum Deep:
Investigating Structural Bias in Real-Coded Genetic Algorithms. 447-450 - Graham Roberts, Everett Grethel, Qian Yang:
Implicit Symbolic Regression via Probabilistic Fitness. 451-454 - Yudong Yang, Kai Wu, Xiangyi Teng, Handing Wang, He Yu, Jing Liu:
Exploring Knowledge Transfer in Evolutionary Many-task Optimization: A Complex Network Perspective. 455-458 - Feng Zhuang, Ting Huang, He Yu, Jing Liu:
An Empirical Study of Constrained Evolutionary Algorithms for Isomorphic Connected Graph Segmentation Problems. 459-462
Poster Session: General Evolutionary Computation and Hybrids
- Roberto Gallotta, Antonios Liapis, Georgios N. Yannakakis:
Dynamic Quality-Diversity Search. 463-466 - Nathan Gaylinn, Joshua Clifford Bongard:
A Meta-Evolutionary Algorithm for Co-evolving Genotypes and Genotype / Phenotype Maps. 467-470 - Maciej Komosinski, Marcin Leszczynski, Konrad Miazga, Dawid Siera:
Deficiencies of Best-chromosome-wins Dominance in Evolutionary Optimization of Stationary Functions. 471-474 - Geoff Nitschke, Bilal Aslan:
Morpho-Material Evolution for Automated Robot Design. 475-478 - Erjie Tian, Xin Zhang, Pengjiang Qian, Wei Fang, Jian Yao:
Variable Contribution-Based Differential Evolution for Large-Scale Global Optimization. 479-482 - Yi Wang, Wenshan Li, Tao Li:
Adaptive Immune Optimization Algorithm: Combining Mutual Information and Differential Evolution-based Mutation for Local Feature Selection on Microarray Data. 483-486
Poster Session: Genetic Programming
- Ryan Boldi, Ashley Bao, Martin Briesch, Thomas Helmuth, Dominik Sobania, Lee Spector, Alexander Lalejini:
A Comprehensive Analysis of Down-sampling for Genetic Programming-based Program Synthesis. 487-490 - Darren M. Chitty, Ed Keedwell:
Greedy Strategies to Improve Phased Genetic Programming When Applied Directly to the Traveling Salesman Problem. 491-494 - Guy Y. Cornejo Maceda, Zhutao Jiang, François Lusseyran, Bernd R. Noack:
Fast Self-Learning of Turbulence Feedback Laws Using Gradient-Enriched Machine Learning Control. 495-498 - Camilo De La Torre, Kévin Cortacero, Sylvain Cussat-Blanc, Dennis Wilson:
Multimodal Adaptive Graph Evolution. 499-502 - Kaixuan Jia, Jianbin Ma, Xiaoying Gao, Jiaxin Niu:
Archive-based multiple feature construction methods using adaptive Genetic Programming. 503-506 - Michal Kowalczykiewicz, Piotr Lipinski:
Introducing vectorized cluster crossover in Grammatical Evolution. 507-510 - Alexander Lalejini, Marcos Sanson, Jack Garbus, Matthew Andres Moreno, Emily L. Dolson:
Runtime phylogenetic analysis enables extreme subsampling for test-based problems. 511-514 - Yuri Lavinas, Nathaniel Haut, William Punch, Wolfgang Banzhaf, Sylvain Cussat-Blanc:
Dynamically Sampling biomedical Images For Genetic Programming. 515-518 - Qiaoman Li, Xiaoying Gao, Wenyang Meng, Jianbin Ma:
Multi-objective multi-population Genetic Programming for feature selection and classification to high-dimensional data. 519-522 - Jared Murphy, Devroop Kar, Joshua Karns, Travis Desell:
EXA-GP: Unifying Graph-Based Genetic Programming and Neuroevolution for Explainable Time Series Forecasting. 523-526 - Miguel Rabuge, Nuno Lourenço:
A Comparison of Feature Engineering Techniques for Hearing Loss. 527-530 - Darian Reyes Fernández de Bulnes, Allan de Lima, Aidan Murphy, Douglas Mota Dias, Conor Ryan:
Feature Encapsulation by Stages Using Grammatical Evolution. 531-534 - Vladimir Stanovov:
Designing Black-Box Optimizers with PushGP. 535-538 - David Vella Zarb, Geoffrey T. Parks, Timoleon Kipouros:
Synergistic Utilization of LLMs for Program Synthesis. 539-542 - Chunyu Wang, Qi Chen, Bing Xue, Mengjie Zhang:
Multi-task Genetic Programming with Semantic based Crossover for Multi-output Regression. 543-546 - Shaolin Wang, Yi Mei, Mengjie Zhang:
A Preliminary Counterfactual Explanation Method for Genetic Programming-Evolved Rules: A Case Study on Uncertain Capacitated Arc Routing Problem. 547-550 - Piotr Wyrwinski, Krzysztof Krawiec:
Guiding Genetic Programming with Graph Neural Networks. 551-554 - Tuo Zhang, Ying Bi, Jing Liang, Bing Xue, Mengjie Zhang:
Decomposition-based Multi-objective Genetic Programming for Feature Learning in Image Classification. 555-558
Poster Session: Learning for Evolutionary Computation
- Hanan Alsouly, Michael Kirley, Mario Andrés Muñoz:
Online Per-Instance Algorithm Selection for Constrained Multi-Objective Optimization Problems. 559-562 - Carolin Benjamins, Gjorgjina Cenikj, Ana Nikolikj, Aditya Mohan, Tome Eftimov, Marius Lindauer:
Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalization. 563-566 - Giancarlo Antonino Pasquale Ignazio Catalano, Alexander E. I. Brownlee, David E. Cairns, John A. W. McCall, Russell Ainslie:
Mining Potentially Explanatory Patterns via Partial Solutions. 567-570 - Peter Korosec, Tome Eftimov:
Per-Run Algorithm Performance Improvement Forecasting Using Exploratory Landscape Analysis Features: A Case Study in Single-Objective Black-Box Optimization. 571-574 - Robert T. Lange, Yingtao Tian, Yujin Tang:
Evolution Transformer: In-Context Evolutionary Optimization. 575-578 - Robert T. Lange, Yingtao Tian, Yujin Tang:
Large Language Models As Evolution Strategies. 579-582 - Maximilian Zorn, Sarah Gerner, Philipp Altmann, Thomas Gabor:
Final Productive Fitness for Surrogates in Evolutionary Algorithms. 583-586
Poster Session: Neuroevolution
- Sumeet Batra, Bryon Tjanaka, Stefanos Nikolaidis, Gaurav S. Sukhatme:
Quality Diversity for Robot Learning: Limitations and Future Directions. 587-590 - Federico Da Rold, Leo Cazenille, Nathanaël Aubert-Kato:
Analysis of Pruned Deep Models Trained with Neuroevolution. 591-594 - Maximilien Le Clei, Stav Bar-Sheshet, Pierre Bellec:
Generational Information Transfer with Neuroevolution on Control Tasks. 595-598 - Trevor Londt, Xiaoying Gao, Yi Mei:
A Cooperative Coevolution Neural Architecture Search Approach for Evolving Convolutional Neural Networks. 599-602 - Brandon Morgan, Dean Hougen:
Neural Loss Function Evolution for Large-Scale Image Classifier Convolutional Neural Networks. 603-606 - Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo, Anna Wójcik:
AD-NEv++ - The multi-architecture neuroevolution-based multivariate anomaly detection framework. 607-610 - Shoffan Saifullah, Rafal Drezewski:
Improved Brain Tumor Segmentation Using Modified U-Net based on Particle Swarm Optimization Image Enhancement. 611-614 - Aswitha Tadepalli, Kishalay Mitra:
Satellite Image based Crop Classification Using Convolutional Autoencoder. 615-618 - Inês Valentim, Nuno Antunes, Nuno Lourenço:
Exploring Layerwise Adversarial Robustness Through the Lens of t-SNE. 619-622
Poster Session: Real World Applications
- Simon Anderer, Nicolas Justen, Bernd Scheuermann, Sanaz Mostaghim:
Survival Strategies for Evolutionary Role Mining Algorithms Using Expert Knowledge. 623-626 - Michal Antkiewicz, Pawel B. Myszkowski, Konrad Gmyrek:
Gene-level adaptation in Balanced Non-Dominated Tournament Genetic Algorithm (aB-NTGA) applied to versatile Multi-Stage Weapon-Target Assignment Problem. 627-630 - Aidan Blair, Amirali Khodadadian Gostar, Xiaodong Li, Alireza Bab-Hadiashar, Reza Hoseinnezhad:
Evaluation of Genetic Algorithms in Multi-Vehicle Control for Multi-Target Tracking Applications. 631-634 - Zi Yang Bo, Qiang Yang, Ya-Hui Jia, Xu Dong Gao, Zhen-Yu Lu, Jun Zhang:
Evolutionary Algorithm with Cross-Generation Environmental Selection for Traveling Salesman Problem. 635-638 - Claude Carlet, Marko Durasevic, Domagoj Jakobovic, Stjepan Picek:
On the Evolution of Boolean Functions with the Algebraic Normal Form Representation. 639-642 - Gelegen Che, Lixin Tang, Guodong Zhao, Qingxin Guo, Jianqiang Guo:
An Enhanced Surrogate-Assisted Multi-Objective Differential Evolution Algorithm with Self-Adaptive Strategies for Order Planning in Hot Rolling Process: Surrogate-Assisted MODE with Self-Adaptive Strategies for OPHR Problem. 643-646 - Siping Chen, Debiao Li, Xiqin Gan, Raymond Chiong:
An Optimised Light Gradient Boosting Machine Model for Setup Time Prediction in Electronic Production Lines. 647-650 - Trinh Van Chien, Bui Trong Duc, Ho Viet Duc Luong, Huynh Thi Thanh Binh, Hien Quoc Ngo, Symeon Chatzinotas:
Solving Indefinite Communication Reliability Optimization for RIS-Aided Mobile Systems by an Improved Differential Evolution. 651-654 - Elia Cunegatti, Leonardo Lucio Custode, Giovanni Iacca:
Many-Objective Evolutionary Influence Maximization: Balancing Spread, Budget, Fairness, and Time. 655-658 - Seth G. Fitzgerald, Sarah Baldwin, Gary W. Delaney, David Howard, Frédéric Maire:
Evolution of Material Properties and Gripping Strategy in Soft Robotic Jamming Devices. 659-662 - Yu Fu:
Dynamic Evaluation Functions Based Routing and Wavelength Assignment Optimization for Optical Network Capacity Expansion. 663-666 - Jinyue Guo, Anna-Maria Christodoulou, Balint Laczko, Kyrre Glette:
LVNS-RAVE: Diversified audio generation with RAVE and Latent Vector Novelty Search. 667-670 - Somayeh Kanani, Parham Moradi, Mahdi Jalili:
Decomposition and Clustering-Based Many-Objective Optimization for Multi-Label Feature Selection. 671-674 - Tae-Hoon Kim, Seung-Hyun Moon, Yong-Hyuk Kim:
Evolutionary Ensemble for Predicting Drifter Trajectories Based on Genetic Feature Selection. 675-678 - So-Jung Lee, Yong-Hyuk Kim:
A Memetic Algorithm to Identify Search Patterns for Maximal Coverage of Drifting Oceanic Particles. 679-682 - Arcadi Llanza, Nadiya Shvai, Amir Nakib:
Evolutionary Algorithm Based Adaptive Image Anonymization. 683-686 - Zhongtian Luo, Jianpeng Xiong, Hu Peng, Gaosheng Zhan, Qingfu Zhang, Hui Wang, Xinyu Zhou, Wei Li, Ying Huang:
A Micro Dynamic Multi-objective Evolutionary Algorithm for Small-scale Smart Greenhouse with Low-power Microprocessor. 687-690 - Ritwik Murali, Veeramanohar Avudaiappan:
Exploring Evolution for Aesthetic & Abstract 3D Art. 691-694 - Bogdan Ruszczak, Michal Myller, Lukasz Tulczyjew, Agata Wijata, Jakub Nalepa:
Particle Swarm Optimization Meets Deep Learning for Estimating Root-Zone Soil Moisture from Hyperspectral Images. 695-698 - Fiona Shyne, Kaylah Facey, Seth Cooper:
Generating Solvable and Difficult Logic Grid Puzzles. 699-702 - Agata M. Wijata, Bartlomiej Pycinski, Jakub Nalepa:
Selecting Image Features for Biopsy Needle Detection in Ultrasound Images Using Genetic Algorithms. 703-706 - Junfeng Zhao, Lixin Tang, Yong Shuai:
Exploring a Small Molecule Property Prediction Model with Optimal Comprehensive Performance through Multi-Objective Optimization Algorithms. 707-710
Poster Session: Search-Based Software Engineering
- Thi-Mai-Anh Bui, Van-Tri Do, Minh Vu Le, Quoc-Trung Bui:
Dynamic Difficulty Coefficient in Search-Based Software Testing: Targeting to Hard Branch Coverage. 711-714 - Ryan Edward Dougherty, Dylan Nathan Green, Hyunmook Kang, Grace Miro Kim, Stephanie Forrest:
A Multi-Objective Genetic Algorithm for Location in Interaction Testing. 715-718 - Yueyue Liu, Hongyu Zhang, Van-Hoang Le, Yuantian Miao, Zhiqiang Li:
Local Search-based Approach for Cost-effective Job Assignment on Large Language Models. 719-722 - Irina Maliukov, Gera Weiss, Oded Margalit, Achiya Elyasaf:
Evolving Assembly Code in an Adversarial Environment. 723-726 - Gudny Birna Saemundsdottir, Sæmundur Óskar Haraldsson:
Large Language Models as All-in-one Operators for Genetic Improvement. 727-730 - Stuart D. Semujju, Fangqing Liu, Han Huang, Yi Xiang:
Enhancing Fault Detection in Smart Contract Loops Through Adaptive Probabilistic Sampling. 731-734
Poster Session: Swarm Intelligence
- Indu Bala, Dikshit Chauhan, Lewis Mitchell:
Orthogonally Initiated Particle Swarm Optimization with Advanced Mutation for Real-Parameter Optimization. 735-738 - Piotr Dziwiñski:
A new Hybrid Parameter Independent Particle Swarm Optimization Algorithm. 739-742 - So Fukuhara, Masao Arakawa:
Particle Swarm Optimization with Unfeasible Personal Best for Constrained Problems. 743-746 - Xu Li, Min Cao, Jian-Yu Li, Jing Xu, Jun Zhang, Zhi-Hui Zhan:
Matrix-Based Ant Colony Optimization. 747-750 - Md. Shahrukh Islam, Somonindro Roy, Md. Adnan Arefeen, Muhammad Ali Nayeem:
ClientShield: Malicious Clients Avoidance in Federated Learning with the Help of an Ant. 751-754 - Luming Yang, Tao Jiang, Ran Cheng:
Tensorized Ant Colony Optimization for GPU Acceleration. 755-758
Tutorial Session: Introductory Tutorials
- Wolfgang Banzhaf, Ting Hu:
Linear Genetic Programming. 759-771 - Juergen Branke, Sebastian Rojas-Gonzalez, Ivo Couckuyt:
Bayesian Optimization. 772-790 - Carola Doerr, Diederick Vermetten, Jacob de Nobel, Thomas Bäck:
Benchmarking and Analyzing Iterative Optimization Heuristics with IOHprofiler. 791-799 - Benjamin Doerr:
A Gentle Introduction to Theory (for Non-Theoreticians). 800-829 - Ágoston E. Eiben:
Robot Evolution: from Virtual to Real. 830-855 - Manon Flageat, Bryan Lim, Antoine Cully:
Evolutionary Reinforcement Learning. 856-882 - Hisao Ishibuchi, Lie Meng Pang, Ke Shang:
New Framework of Multi-Objective Evolutionary Algorithms with Unbounded External Archive. 883-902 - Per Kristian Lehre:
Runtime Analysis of Population-based Evolutionary Algorithms. 903-927 - Risto Miikkulainen:
Evolution of Neural Networks. 928-945 - Alberto Moraglio, Francisco Chicano:
Introduction to Quantum Optimization. 946-972 - Una-May O'Reilly, Erik Hemberg:
Using Large Language Models for Evolutionary Search. 973-983 - Gabriela Ochoa, Katherine M. Malan:
Landscape Analysis of Optimisation Problems and Algorithms. 984-1004 - Nelishia Pillay:
Transfer Learning in Evolutionary Spaces. 1005-1016 - Franz Rothlauf:
Representations for Evolutionary Algorithms. 1017-1037 - Abubakar Siddique, Will N. Browne, Ryan J. Urbanowicz:
Evolutionary Machine Learning for Interpretable and eXplainable AI. 1038-1068 - Daniel R. Tauritz, John R. Woodward:
Generative Hyper-heuristics. 1069-1095 - Dirk Thierens, Peter A. N. Bosman:
Model-Based Evolutionary Algorithms. 1096-1126 - L. Darrell Whitley:
Next Generation Genetic Algorithms - efficient crossover and local search and new results on crossover lattices. 1127-1157 - Bing Xue, Mengjie Zhang:
Evolutionary Computation for Feature Selection and Feature Construction. 1158-1186 - Danial Yazdani, Xin Yao:
A Deep Dive into Robust Optimization Over Time: Problems, Algorithms, and Beyond. 1187-1196
Advanced Tutorials
- Alexander Edward Ian Brownlee, Saemundur O. Haraldsson, John Robert Woodward, Markus Wagner:
Genetic Improvement: Taking real-world source code and improving it using computational search methods. 1197-1230 - Ying Bi, Stefano Cagnoni, Yanan Sun:
Evolutionary Computation and Evolutionary Deep Learning for Image Analysis, Signal Processing and Pattern Recognition. 1231-1260 - Carlos Artemio Coello Coello:
Constraint-Handling Techniques used with Evolutionary Algorithms. 1261-1283 - Kalyanmoy Deb, Ankur Sinha:
Evolutionary Bilevel Optimization: Algorithms and Applications. 1284-1312 - Tome Eftimov, Peter Korosec:
Statistical Analyses for Single-objective Stochastic Optimization Algorithms. 1313-1327 - Yi Mei, Günther R. Raidl:
Evolutionary Computation meets Machine Learning for Combinatorial Optimisation. 1328-1351 - Frank Neumann, Aneta Neumann, Hemant Kumar Singh:
Evolutionary computation for stochastic problems. 1352-1368 - Kate Smith-Miles, Mario Andrés Muñoz, Sevvandi Kandanaarachchi:
Instance Space Analysis and Item Response Theory for Algorithm Testing. 1369-1390 - Dirk Sudholt, Giovanni Squillero:
Theory and Practice of Population Diversity in Evolutionary Computation. 1391-1409 - Jamal Toutouh, Una-May O'Reilly:
Coevolutionary Computation for Adversarial Deep Learning. 1410-1431
Specialized Tutorials
- Joshua D. Knowles, Weijie Zheng:
Evolutionary Multiobjective Optimization (EMO). 1432-1459 - Penousal Machado, João Correia:
Evolutionary Art and Design in the Machine Learning Era. 1460-1501
Workshop Session: Workshop Analysing Algorithmic Behaviour of Optimisation Heuristics
- Madalina-Andreea Mitran:
Correlation-based Analysis of the Influence of Bound Constraint Handling Methods on Population Dynamics in Differential Evolution. 1502-1510 - Michal Pluhacek, Adam Viktorin, Tomas Kadavy, Jozef Kovác, Roman Senkerik:
Measuring Population Diversity in Variable Dimension Search Spaces. 1511-1519 - Yukai Qiao, Marcus Gallagher:
Analyzing the Runtime of the Gene-pool Optimal Mixing Evolutionary Algorithm (GOMEA) on the Concatenated Trap Function. 1520-1526
Workshop Session: Workshop Evolutionary Computation and Decision Making
- James Gunder Frazier, Thomas Helmuth:
Explaining Automatically Designed Software Defined Perimeters with a Two Phase Evolutionary Computation System. 1527-1535 - Zhiye Guo, Jingxuan Wei, Binhao Liang, Fengqin Liang:
Dynamic Constrained Multiobjective Algorithm Based on Feasible Region Prediction. 1536-1543
Workshop Session: Workshop Evolutionary Computation for the Automated Design of Algorithms
- Alex G. C. de Sá, David B. Ascher:
Towards Evolutionary-based Automated Machine Learning for Small Molecule Pharmacokinetic Prediction. 1544-1553 - Mia Gerber, Nelishia Pillay:
Dynamic Neural Architecture Search for Image Classification. 1554-1562 - Pengfei Xia, Ziqiang Li, Bin Li:
Tightening the Approximation Error of Adversarial Risk with Auto Loss Function Search. 1563-1572
Workshop Session: Workshop Evolutionary Computation and Explainable AI
- Jason Adair, Sarah L. Thomson, Alexander E. I. Brownlee:
Explaining evolutionary feature selection via local optima networks. 1573-1581 - Jan Jakubik, Halina Kwasnicka:
Drawing Attributions From Evolved Counterfactuals. 1582-1589 - Piotr Lipinski, Klaudia Balcer:
Explaining Session-based Recommendations using Grammatical Evolution. 1590-1597 - Maria Gabriela Valeriano, João Luiz Junho Pereira, Carlos Roberto Veiga Kiffer, Ana Carolina Lorena:
Explaining instances in the health domain based on the exploration of a dataset's hardness embedding. 1598-1606
Workshop Session: Embodied and Evolved Artificial Intelligence
- Leni K. Le Goff, Emma Hart:
Improving Efficiency of Evolving Robot Designs via Self-Adaptive Learning Cycles and an Asynchronous Architecture. 1607-1615 - Bi Li, Boyu Chen, Nankai Lin, Xueming Yan, Yue Xie, Zhifeng Hao:
Generating Synthetic Tabular Data by Using Image Generative Adversarial Networks. 1616-1622
Workshop Session: Workshop Enhancing Generative Machine Learning with Evolutionary Computation
- Matheus Muller Pereira Da Silva, Jaqueline Silva Angelo, Isabella Alvim Guedes, Laurent Emmanuel Dardenne:
A Generative Evolutionary Many-Objective Framework: A Case Study in Antimicrobial Agent Design. 1623-1630 - Jimena Mignaco, Gonzalo Rey, Jairo Correa, Sergio Nesmachnow, Jamal Toutouh:
Empirical comparison of evolutionary approaches for searching the latent space of Generative Adversarial Networks for the human face generation problem. 1631-1639
Workshop Session: Open Software for Evolutionary Computation
- Bernhard Johannes Berger, Christina Plump, Lauren Paul, Rolf Drechsler:
EvoAl - Codeless Domain-Optimisation. 1640-1648 - Bogdan Burlacu:
Backend-agnostic Tree Evaluation for Genetic Programming. 1649-1657 - Sara Ceschia, Francesca Da Ros, Luca Di Gaspero, Andrea Schaerf:
EasyLocal++ a 25-year Perspective on Local Search Frameworks: The Evolution of a Tool for the Design of Local Search Algorithm. 1658-1667 - Maiia Pinchuk, Grigorii Kirgizov, Lyubov Yamshchikova, Nikolay O. Nikitin, Irina Deeva, Karine Shakhkyan, Ivan I. Borisov, Kirill Zharkov, Anna V. Kalyuzhnaya:
GOLEM: Flexible Evolutionary Design of Graph Representations of Physical and Digital Objects. 1668-1675
Workshop Session: Workshop Graph-based Genetic Programming
- Thibaut Bellanger, Matthieu Le Berre, Manuel Clergue, Jin-Kao Hao:
Directed Acyclic Program Graph Applied to Supervised Classification. 1676-1680 - Camilo De La Torre, Sylvain Cussat-Blanc, Dennis Wilson, Yuri Lavinas:
On Search Trajectory Networks for Graph Genetic Programming. 1681-1685 - Jared Murphy, Travis Desell:
Minimizing the EXA-GP Graph-Based Genetic Programming Algorithm for Interpretable Time Series Forecasting. 1686-1690 - Giovanni Squillero, Alberto Tonda, Dimitri Masetta, Marco Sacchet:
Byron: A Fuzzer for Turing-complete Test Programs. 1691-1694
Workshop Session: Workshop Industrial Applications of Metaheuristics
- Alexander E. I. Brownlee, Sarah L. Thomson, Rachael Oladapo:
A Bi-Level Approach to Vehicle Fleet Reduction: Successful Case Study in Community Healthcare. 1695-1701 - Darren M. Chitty:
Improving the Efficiency Of Genetic Programming for Classification Tasks Using a Phased Approach. 1702-1705 - Francesca Da Ros, Luca Di Gaspero, Marie-Louise Lackner, Nysret Musliu:
Reducing Energy Consumption in Electronic Component Manufacturing through Large Neighborhood Search. 1706-1714 - Roy de Winter, Thomas Bäck, Niki van Stein:
Modular Optimization Framework for Mixed Expensive and Inexpensive Real-World Problems. 1715-1723 - Anastasiia Filatova, Ivan Perov, Egor Timoschak, Stanislav Batalenkov, Mikhail V. Kovalchuk, Denis A. Nasonov:
Advancing Project Management: Integrating Material Delivery in Multi-Contractor Multi-Mode RCPSP. 1724-1727 - Subodh Kalia, Nikhil Padhye, Chilukuri K. Mohan:
Structural Optimization with Isogeometric Representation using an Evolutionary Approach. 1728-1731 - Ahmed Kheiri, Yaroslav Pylyavskyy, Peter Jacko:
Efficient Scheduling of GECCO Conferences using Hyper-heuristic Algorithms. 1732-1737 - Fernando Lezama, José Almeida, João Soares, Zita Vale, Wenlei Bai, Kwang Y. Lee, Wen Zhang:
Assessing PV Integration with Evolutionary Algorithms: Insights from the 2024 Competition on Evolutionary Computation in the Energy Domain. 1738-1744 - Abtin Nourmohammadzadeh, Stefan Voß:
A Matheuristic Algorithm to Optimise Multi-Objective Production Scheduling in a Manufacturing Plant with Fluctuating Raw Material Supplies. 1745-1753 - Takushi Yoshikawa, Ryoji Tanabe:
On Constructing Algorithm Portfolios in Algorithm Selection for Computationally Expensive Black-box Optimization in the Fixed-budget Setting. 1754-1761
Workshop Session: Workshop Interactive Methods at GECCO
- Yanan Wang, Yan Pei, Zerui Ma, Jianqiang Li:
A User-Guided Generation Framework for Personalized Music Synthesis Using Interactive Evolutionary Computation. 1762-1769
Workshop Session: 27th International Workshop on Evolutionary Rule-based Machine Learning
- Cameron Coombe, David Howard, Will N. Browne:
Learning Classifier Systems as a Solver for the Abstraction and Reasoning Corpus. 1770-1778 - David Pätzel, Richard Nordsieck, Jörg Hähner:
A Closer Look at Length-niching Selection and Spatial Crossover in Variable-length Evolutionary Rule Set Learning. 1779-1787 - Connor Schönberner, Sven Tomforde:
XCS: Is Covering All You Need? 1788-1796 - Abubakar Siddique, Michael Heider, Muhammad Iqbal, Hiroki Shiraishi:
A Survey on Learning Classifier Systems from 2022 to 2024. 1797-1806 - Anmol Surhonne, Manuel Wensauer, Florian Maurer, Thomas Wild, Andreas Herkersdorf:
XCS with dynamic sized experience replay for memory constrained applications. 1807-1814
Workshop Session: Workshop Landscape-Aware Heuristic Search
- Yusuke Yasuda, Kenichi Tamura, Keiichiro Yasuda:
Analyzing Violation Landscapes Using Different Definitions of Constraint Violation. 1815-1823
Workshop Session: Large Language Models for and with Evolutionary Computation Workshop
- Sardar Bin Murtaza, Aidan Mccoy, Zhiyuan Ren, Aidan Murphy, Wolfgang Banzhaf:
LLM Fault Localisation within Evolutionary Computation Based Automated Program Repair. 1824-1829 - Leonardo Lucio Custode, Chiara Camilla Rambaldi Migliore, Marco Roveri, Giovanni Iacca:
Comparing Large Language Models and Grammatical Evolution for Code Generation. 1830-1837 - Leonardo Lucio Custode, Fabio Caraffini, Anil Yaman, Giovanni Iacca:
An investigation on the use of Large Language Models for hyperparameter tuning in Evolutionary Algorithms. 1838-1845 - Ping Guo, Fei Liu, Xi Lin, Qingchuan Zhao, Qingfu Zhang:
L-AutoDA: Large Language Models for Automatically Evolving Decision-based Adversarial Attacks. 1846-1854 - Michal Pluhacek, Jozef Kovác, Peter Janku, Tomas Kadavy, Roman Senkerik, Adam Viktorin:
A Critical Examination of Large Language Model Capabilities in Iteratively Refining Differential Evolution Algorithm. 1855-1862
Workshop Session: Workshop Neuroevolution at Work
- Mohammed Ghaith Altarabichi, Abdallah Alabdallah, Sepideh Pashami, Thorsteinn S. Rögnvaldsson, Slawomir Nowaczyk, Mattias Ohlsson:
Improving Concordance Index in Regression-based Survival Analysis: Evolutionary Discovery of Loss Function for Neural Networks. 1863-1869 - Edoardo Barba, Anil Yaman, Giovanni Iacca:
The Effect of Training Schedules on Morphological Robustness and Generalization. 1870-1878 - Romain Claret, Michael O'Neill, Paul Cotofrei, Kilian Stoffel:
Investigating Hyperparameter Optimization and Transferability for ES-HyperNEAT: A TPE Approach. 1879-1887 - Mark Coletti, Chathika Gunaratne, Steven R. Young, Swetha Varadarajan, Robert M. Patton, Thomas E. Potok:
Efficacy of using a dynamic length representation vs. a fixed-length for neuroarchitecture search. 1888-1894 - Renato Sellaro Dorighello, Myriam Regattieri Delgado, Ricardo Lüders, Daniel Fernando Pigatto:
ACO-Pruning for Deep Neural Networks: A Case Study in CNNs. 1895-1903 - Michel El Saliby, Giorgia Nadizar, Erica Salvato, Eric Medvet:
Eventually, all you need is a simple evolutionary algorithm (for neuroevolution of continuous control policies). 1904-1913 - Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman:
Exploring the Search Space of Neural Network Combinations obtained with Efficient Model Stitching. 1914-1923 - Devroop Kar, Zimeng Lyu, Alexander G. Ororbia II, Travis Desell, Daniel E. Krutz:
Enabling An Informed Contextual Multi-Armed Bandit Framework For Stock Trading With Neuroevolution. 1924-1933
Workshop Session: Workshop Quantum Optimization
- Shailendra Bhandari, Pedro Lencastre, Pedro G. Lind:
Modeling stochastic eye tracking data: A comparison of quantum generative adversarial networks and Markov models. 1934-1941 - Yousra Farhani, Malak Saiem, Taha Arbaoui, Faicel Hnaien:
Enhanced QUBO Formulations for The Flow Shop Scheduling Problem. 1942-1949 - Pascal Halffmann, Michael Trebing, Steve Lenk:
Harnessing Inferior Solutions For Superior Outcomes: Obtaining Robust Solutions From Quantum Algorithms. 1950-1953 - Hiroaki Kameyama, Yutaka Takita, Matthieu Parizy, Shinichi Sazawa, Pablo Caballero:
Benchmarks for Digital Annealer with Quadratic Constrained Binary Optimization Problems. 1954-1957 - Sascha Mücke:
A Simple QUBO Formulation of Sudoku. 1958-1962 - Masahiko Sugimura, Matthieu Parizy:
A3TUM: Automated Tabu Tenure Tuning by Unique Move for Quadratic Unconstrained Binary Optimization. 1963-1971 - Arnold Unterauer, David Bucher, Matthias Knoll, Constantin Economides, Michael Lachner, Thomas Germain, Moritz Kessel, Smajo Hajdinovic, Jonas Stein:
Solving the Turbine Balancing Problem using Quantum Annealing. 1972-1978 - Axel Vargas, Pradyumn Kumar Shukla, Richard Allmendinger, Andreas Jaeger:
On Solving the Capacitated Vehicle Routing Problem with Time Windows using Quantum Annealing. 1979-1983 - Sebastian Zielinski, Maximilian Zorn, Thomas Gabor, Sebastian Feld, Claudia Linnhoff-Popien:
Using an Evolutionary Algorithm to Create (MAX)-3SAT QUBOs. 1984-1992
Workshop Session: Workshop Swarm Intelligence Algorithms: Foundations, Perspectives and Challenges
- Martijn Halsema, Diederick Vermetten, Thomas Bäck, Niki van Stein:
A Critical Analysis of Raven Roost Optimization. 1993-2001 - Mardé Helbig:
Visualising Found Solutions and Measures for Dynamic Multi-objective Optimisation. 2002-2009 - Kojiro Noborio, Noriyuki Fujimoto:
Solving QUBO with MOPSO and Decomposition. 2010-2017 - Michal Pluhacek, Jozef Kovác, Adam Viktorin, Peter Janku, Tomas Kadavy, Roman Senkerik:
Using LLM for Automatic Evolvement of Metaheuristics from Swarm Algorithm SOMA. 2018-2022
Workshop Session: Workshop Surrogate-Assisted Evolutionary Optimisation
- Konrad Krawczyk, Jaroslaw Arabas:
Empirical Study of Surrogate Model Assisting JADE: Relation Between the Model Accuracy and the Optimization Efficiency. 2023-2031 - Kamrul Hasan Rahi, Hemant K. Singh, Tapabrata Ray:
Towards solving expensive optimization problems with heterogeneous constraint costs. 2032-2040
Workshop Session: Workshop on Symbolic Regression
- Vinícius Veloso de Melo, Wolfgang Banzhaf, Giovanni Iacca:
Accelerating GP Genome Evaluation Through Real Compilation with a Multiple Program Single Data Approach. 2041-2049 - Grant Dick, Caitlin A. Owen:
Characterising the Double Descent of Symbolic Regression. 2050-2057 - Patrick E. Leser, Geoffrey F. Bomarito, Gabriel Kronberger, Fabrício Olivetti de França:
Comparing Methods for Estimating Marginal Likelihood in Symbolic Regression. 2058-2066 - Hongyu Liu, Haoyang Liu, Yufei Kuang, Jie Wang, Bin Li:
Deep Symbolic Optimization for Combinatorial Optimization: Accelerating Node Selection by Discovering Potential Heuristics. 2067-2075 - S. Sanjith Raghav, S. Tejesh Kumar, Rishiikesh Balaji, M. Sanjay, C. Shunmuga Velayutham:
Interactive Symbolic Regression - A Study on Noise Sensitivity and Extrapolation Accuracy. 2076-2082
Workshop Session: Workshop - Student Workshop
- Egor Bazhenov, Ivan Jarsky, Valeria Efimova, Sergey Muravyov:
Evolutionary image vectorization with variable curve number. 2083-2086 - Siyuan Chen, Wei Fang, Shuwei Zhu:
TextNet: An Neural Architecture Search Method based on Rapid Text Processing Network Structure Analysis. 2087-2090 - Paulo Dos Santos, Marcella Scoczynski, Solange Amorim Nogueira, Rafael Maffei Loureiro, Cristhiane Gonçalves, Wesley Pacheco Calixto:
A novel unsupervised segmentation approach for brain computed tomography employing hyperparameter optimization. 2091-2094 - Hassan Gharoun, Mohammad Sadegh Khorshidi, Navid Yazdanjue, Fang Chen, Amir H. Gandomi:
Shadow Gene Guidance: A Novel Approach for Elevating Genetic Programming Classifications and Boosting Predictive Confidence. 2095-2098 - Mohammad Sadegh Khorshidi, Navid Yazdanjue, Hassan Gharoun, Danial Yazdani, Mohammad Reza Nikoo, Fang Chen, Amir H. Gandomi:
Enhancing Classification Through Multi-view Synthesis in Multi-Population Ensemble Genetic Programming. 2099-2102 - Frederico Leite Richardson, George De Ath, Tinkle Chugh:
Is greed still good in multi-objective Bayesian optimisation? 2103-2106 - Chiara Camilla Rambaldi Migliore, Omar Rota Stabelli, Giovanni Iacca:
Balancing human livability and bumblebee population in urban green areas via Agent-Based Model and Evolutionary Algorithms. 2107-2110 - Thomas Newbold, Alberto Moraglio:
Evolving Quantum Logic Gate Circuits in Qiskit. 2111-2114 - Junhao Song, Yingfang Yuan, Wei Pang:
SAIS: A Novel Bio-Inspired Artificial Immune System Based on Symbiotic Paradigm. 2115-2118 - Teresa Tonelli, Gloria Pietropolli, Gabriele Sbaiz, Luca Manzoni:
Genetic Programming for the Reconstruction of Delay Differential Equations in Economics. 2119-2122
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-10-22 02:22 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
