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CEC 2025: Hangzhou, China
- IEEE Congress on Evolutionary Computation, CEC 2025, Hangzhou, China, June 8-12, 2025. IEEE 2025, ISBN 979-8-3315-3431-8
- Yunpeng Jing, HaiLin Liu:
Quantile normalization of optimization functions. 1-4 - Kalyanmoy Deb, Ritam Guha:
Finding Multiple Alternate Solutions Using Evolutionary Multi-Objective Optimization. 1-8 - Hisao Ishibuchi, Lie Meng Pang:
Optimal Distribution of Solutions for Crowding Distance on Linear Pareto Fronts of Two-Objective Optimization Problems. 1-9 - Saining Liu, Yi Mei, Mengjie Zhang:
Curriculum Learning in Genetic Programming Guided Local Search for Large-scale Vehicle Routing Problems. 1-4 - Qiuting Cai, Yiwen Zhang, Kaitong Zheng, Ya-Hui Jia, Huaiguang Jiang:
An Evolutionary Reinforcement Learning Method for Multi-energy Microgrid Energy Management. 1-4 - Junpeng Cheng, Xuming Han, Yali Chu, Ting Zhou:
An evolutionary algorithm with dynamic grouping-based reproduction for sparse multi-objective optimization. 1-8 - Zhuoyin Qiao, Fangfang Zhang, Yi Mei, Mengjie Zhang:
Preference-Based Multi-Objective Genetic Programming for Energy-Efficient Dynamic Flexible Job Shop Scheduling. 1-8 - Xinzhuo Wang, Chang Liu, Rui Wang, Zhenghao Yu, Shengxiang Yang:
Improved Genetic Algorithm Using Reinforcement Learning to Solve the Re-entrant Flexible Flow Shop Scheduling Problem. 1-8 - Zhiming Dong, Xianpeng Wang:
Effective Computational Resource Allocation in Evolutionary Multi-Objective Multi-Task Optimization. 1-7 - Wei Wang, Yindong Shen:
An Evolutionary Multitasking-Based Unsupervised Learning Framework for Learning to Optimize. 1-8 - Tingting Dang, Wenxuan Fang, Jiaqiang Li, Qiqi Liu, Junhua Gu, Yaochu Jin:
An Elite-Guided Large-Scale Multi-Objective Evolutionary Algorithm Driven by Denoising Diffusion Probabilistic Models. 1-9 - Rong Wang, Xin-Xin Xu, Jun Hong, Si-Cheng Wang, Fei Ji, Zhi-Hui Zhan:
An Improved Evolutionary Multitasking Algorithm for Multitasking Berth Allocation Problem. 1-4 - Yao-Hsin Chou, Yu-Chi Jiang, Ping-I Lin, Ru-Wei Tseng, Shu-Yu Kuo, Sy-Yen Kuo:
Multi-objective Quantum-inspired Tabu Search Algorithm for Weighted Portfolio Model in Financial Optimization. 1-2 - Hao Hu, Tao Wang, Yanan Li, Zhao Zhang, Xingguang Peng:
Neural architecture search-based BP neural network for underwater glider motion parameter generation. 1-8 - Ailun Shen:
Gradient Descent Emerges via Natural Selection. 1-8 - Zhengrui Shi, Yaopeng Li, Ming Jia:
A Co-Competitive Multiobjective Particle Swarm Optimization Algorithm Based on Dimensionality Reduction. 1-4 - Yi Zeng, Xuewen Xia, Fenglin Lin, Yuehui Zhang, Meitong Liu:
A Centroid Guided Cluster Transformation for Dynamic Multi-Objective Optimization Algorithm. 1-8 - Chengze Sun, Ye Tian, Shuai Shao, Shangshang Yang, Xingyi Zhang:
An Adaptive Multi-Granular Pareto-Optimal Subspace Learning Algorithm for Sparse Large-Scale Multi-Objective Optimization. 1-8 - Matthew Hicks, Tingjun Lei, Chaomin Luo, Lantao Liu, Zhuming Bi:
A Bio-Inspired Goal-Directed Cognitive Map Approach to Robot Navigation and Mapping. 1-8 - Shaolin Wang, Haoyang Che, He Jiang, Yi Mei, Yi Liu, Ying Gu:
Diverse Counterfactual Explanations by Differential Evolution with Ablation Strategies for Uncertain Capacitated Arc Routing Problem. 1-8 - Sofien Boutaib, Maha Elarbi, Slim Bechikh, Carlos A. Coello Coello, Lamjed Ben Said:
Cross-Project Code Smell Detection as a Dynamic Optimization Problem: An Evolutionary Memetic Approach. 1-9 - Ana Nikolikj, Mario Andrés Muñoz, Eva Tuba, Tome Eftimov:
Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes. 1-8 - Cheng Gong, Ping Guo, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi:
Population Initialization for Evolutionary Multi-objective Optimization: A Short Review. 1-9 - Peng Li, Chen Lang, Xiaoshuo Jia, Jingyu Ru, Hongli Xu:
Hierarchical Reinforcement Learning-Based Decision Generation for Beyond Visual Range Air Combat. 1-6 - Yawen Li, Xin Lyu, Zequn Wei, Guanhua Ye, Jintong Ren:
A Memetic Algorithm for the Capacity-Constrained Community Detection Problem in Social Networks. 1-4 - Jiajian Yang, Jingyuan Xu, Peiru Li, Changwu Huang, Xin Yao:
Fairness-Constrained Multiple-Workflow Scheduling Through Stochastic Ranking. 1-9 - Lin Tang, Guochen Zhang, Chaoli Sun:
A Many-objective Hybrid Recommendation Algorithm Based on User Grouping. 1-9 - Beiyin Pang, Yunyi Zhao, Shufan Yang:
Data-Driven Calibration for Wearable Brain Functional Imaging Devices. 1-6 - Liqun Wen, Hongfeng Wang:
A Meta-Learning-Based Federated Surrogate-Assisted Evolutionary Algorithm for Dynamic Expensive Optimization. 1-8 - Yingying Sun, Zhiming Dong, Gongshu Wang, Ren Zhao:
Adaptive Strategy for Optimizing Latency-Energy Tradeoffs in Edge Computing Task Offloading. 1-4 - Xia Wang, Hongwei Ge, Yaqing Hou, Mengyue Wang:
A Biogeography-based Dual-Strategy Particle Swarm Algorithm for Numerical and Engineering Design Optimization. 1-8 - Wu Lin, Songbai Liu, Qingling Zhu, Qiuzhen Lin:
An Enhanced Search Direction-Based Knowledge Transfer for Multiobjective Many-Tasking Evolutionary Optimization. 1-4 - Victor Parque, Alaa Khalifa:
Extreme Learning Machine with Learnable Activation Functions for Machine Control. 1-8 - Xavier Leresche, Alban Goupil, Valeriu Vrabie, Loïc Kolodziejczak:
Adaptive L1 Regularization for Neural Network-Based Symbolic Regression. 1-10 - Shoei Fujita, Ryuki Ishizawa, Hiroyuki Sato, Keiki Takadama:
Limitation of Adapting to Continuously Changing Optimization Problem and Its Solution in Swarm Optimization. 1-4 - Hongxiang Geng, Ye Tian, Shangshang Yang, Xingyi Zhang, Cheng He:
Surrogate Models are not Necessary for Black-Box Expensive Optimization. 1-9 - Yuefeng Xu, Rui Zhong, Chong Zhou, Chao Zhang, Jun Yu:
Leveraging Inter-Generational Knowledge Transfer in Large-Scale Global Optimization. 1-4 - Ziyu Qiu, Malcolm I. Heywood:
Benchmarking Streaming Evolutionary Ensemble Learning under Shifting Imbalanced Data. 1-8 - Ritam Guha, Ryan McKendrick, Bradley Feest, Kalyanmoy Deb:
Progressive Surrogate Modeling for a Multi-objective Competitive Co-evolutionary (MoCCoEv) Wargame Strategy Optimization. 1-4 - Bo Zhang, Fengyang Sun, Lin Wang, Bo Yang:
Improving Controllability of Chaotic Landscape Generators by Property Evolution. 1-8 - Haofeng Wu, Tingyang Wei, Jiao Liu, Meng Xu, Yew-Soon Ong, Yaochu Jin:
Convergence of Expensive Multi-Objective Optimizers: From ParEGO to ExTrEMO. 1-8 - Yan Zhou, Yaochu Jin, Jinliang Ding:
Brain-Inspired Modular Reservoir based on Spiking Neurons for Multi-Task Learning. 1-4 - David Sedlak, Michal Bidlo, Milos Cervenka:
Action-based Representation for Stochastic Optimization of Complex Real-World RVRP. 1-4 - Claudiney R. Tinoco, Bruno A. N. Travençolo, Luiz G. A. Martins:
Evaluation of a Coordination Model for Robot Swarms in Collective Environment Mapping. 1-8 - Jiayi Li, Jianbin Ma:
Semantic-aware Surrogate-assisted Genetic Programming for Feature Construction in Classification. 1-8 - Hao Li, Zhenyu Liang, Ran Cheng:
GPU-accelerated Evolutionary Many-objective Optimization Using Tensorized NSGA-III. 1-8 - An-Da Li, Bing Xue, Mengjie Zhang, Xiongmin Lin, Guodong Wang:
Cooperative Coevolutionary Probability-Based Binary Particle Swarm Optimization for High-Dimensional Feature Selection. 1-4 - Yu Sun, Ying Meng:
A Genetic Programming-Based Approach for Automated Dispatching Rules Design in Dynamic EDA Scientific Workflows. 1-4 - Shio Kawakami, Keiki Takadama, Hiroyuki Sato:
Multitask Knapsack Problems with Scalable Objective and Constraint Similarities: Behavioral Analysis of Evolutionary Multi-Factorial Algorithms. 1-4 - Ángel Casas-Ordaz, Mario A. Navarro-Velázquez, Arturo Valdivia, Diego Oliva, Jorge Ramos-Frutos:
Improved Differential Evolution with Mahalanobis Distance: IMPDE. 1-8 - Lie Meng Pang, Hisao Ishibuchi:
Large Language Model-Based Benchmarking Experiment Settings for Evolutionary Multi-Objective Optimization. 1-8 - Yuanyuan Ge, Shuai Wang, Haipeng Yang, Meng Zhu, Yimin Guo, Yingjie Li, Lei Zhang:
An Adaptive Probabilistic Evolutionary Multi-task Algorithm for Multi-objective Recommendation. 1-9 - Xiaoming Xue, Liang Feng, Yinglan Feng, Rui Liu, Kai Zhang, Kay Chen Tan:
A Theoretical Analysis of Analogy-Based Evolutionary Transfer Optimization. 1-8 - Junwei Ma, Jianxia Li, Ruochen Liu, Jianyong Zhai, Li Gao:
Variable Range-based Interaction Preference Multi-objective Optimization Algorithm through Objective Decomposition. 1-4 - Rafael Solar-Hernández, Saúl Zapotecas Martínez, Leopoldo Altamirano Robles, Diego Oliva, Seyed Jalaleddin Mousavirad:
Evaluating Color Spaces for Evolutionary Image Contrast Enhancement: An Empirical Study. 1-8 - Tomoki Ishizuka, Hiroyuki Sato, Keiki Takadama:
Multi-objective optimization of flight schedules considering Constraint Tolerance based on Local Search and Archives. 1-8 - Yingkai Xu, Anikó Kopacz, Camelia Chira:
A Hybrid Granular Ball-Ant Colony Optimization for the Multi-Depot Half-Open Time-Dependent Electric Vehicle Routing Problem. 1-8 - Yi Luo, Chang Liu, Dong Ji:
A Convolutional Sparse Representations Integration Strategy Based on Self-Attention Genetic Programming for Multimodal Image Fusion. 1-8 - Luyao Zhu, Fangfang Zhang, Yi Mei, Mengjie Zhang:
Investigation of Decision Making with Scheduling Rules Learned via Genetic Programming for Dynamic Flexible Job Shop Scheduling. 1-8 - Xin Rou Hu, Jun-Ting Luo, Sheng Xin Zhang:
Comparing the Performance of Domain Transform-based Differential Evolution with Recent CEC Competition Winners on the CEC2025 Numerical Optimization. 1-4 - Haoran Gu, Cheng He, Handing Wang:
Performance Study of Surrogate-Assisted Large-Scale Multiobjective Evolutionary Algorithms on GLSMOP Test Suite. 1-8 - Ke Shang, Tianye Shu, Yang Nan, Lie Meng Pang, Hisao Ishibuchi:
On the Quality of Large Non-dominated Archives. 1-4 - Yuan Tian, Yi Mei, Mengjie Zhang:
Genetic Programming with Activity Group Selection for Dynamic Multi-mode Resource-Constrained Project Scheduling Problems. 1-4 - Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
A General Feature-Informed Crossover for Two-Stage Feature Selection in Symbolic Regression. 1-8 - Longhui Li, Xiaobo Zhang, Hezhen Lu, Jie Zhang, Chenyang Bu:
AutoKT: Accelerating Knowledge Tracing Model Adaptation with Evolutionary Transfer Optimization. 1-8 - Zhaojun Wang, Jiachun Huang, Wenji Li, Shunge Wang, Yifeng Qiu, Biao Xu, Jiafan Zhuang, Zhifeng Hao, Zhun Fan:
Masked Genetic Operators with Causal Grouping for Constrained Multi-Objective Optimization. 1-8 - Tianyu Li, Kai Wu, Xiaobin Li, Xiangyi Teng, Jing Liu:
Meta-MOGA: Meta-learning Multi-Objective Genetic Algorithm. 1-4 - Abdennour Azerine, Mahmoud Golabi, Ammar Oulamara, Lhassane Idoumghar:
A Multi-station Electric Vehicle Charging Scheduling Problem with Non-identical Chargers. 1-8 - Thilina Pathirage Don, Aneta Neumann, Frank Neumann:
Weighted-Scenario Optimisation for the Chance Constrained Travelling Thief Problem. 1-8 - Seyed Jalaleddin Mousavirad, Irida Shallari, Mattias O'Nils:
Temporal Image Sequence Fusion with PSO-Optimised CNN Transfer Learning for Plant Temporal State Categorisation. 1-8 - Haotian Zhang, Xiaohong Guan, Nan Nan, Yixin Wang:
Learning the evaluation system for Chinese traditional music by evolution strategies. 1-4 - Ruxin Wu, Wei Zhou, Junkai Ji, Sijun Peng, Siqin Peng, Zexuan Zhu:
Multiobjective Clustering-Guided Multitasking for Diversified Sequential Recommendation. 1-4 - Lázaro Pereira Vinaud Neto, Nicolas Carreiro Rodrigues, Bernardo Rodrigues Tameirão Santos, Eduardo do Valle Simões:
Evolutionary Computation Applied to the Control of a Robotic Manipulator with Obstacle Avoidance. 1-4 - Ye Tian, Cheng He, Endi Cao, Yonglin He, Xingyi Zhang:
Evolutionary Asynchronous Optimization-A Novel Optimization Paradigm for Non-contact Voltage Measurement. 1-9 - Eduardo C. Silva, Gabriela S. Damazo, Luiz G. A. Martins:
Cellular Automata-Based Model for Simulation of Collective Pedestrian Dynamics in Open-air Environments with Stochastic Transitions and Traffic Signs. 1-8 - Wenqiang Zhang, Xuan Bao, Mingzhe Li, Xixi Li:
Q-Learning Driven Multi-objective Hybrid PSO for Distributed Heterogeneous Hybrid Flow-shop Scheduling Problem. 1-8 - Yamato Shinohara, Jinglue Xu, Tianshui Li, Hitoshi Iba:
Large Language Models as Particle Swarm Optimizers. 1-4 - Songwei Liu, Lilla Beke, Jun Chen:
Heuristic Initialisation based on Graph Structures for Shortest Path Search on Multi-objective Multigraphs. 1-4 - Zhou-Zhi Lu, Qi-Te Yang, Ke-Jing Du, Jian-Yu Li, Chun-Hua Chen, Qingrui Zhou, Zhi-Hui Zhan:
Bi-Velocity Coevolutionary Multiswarm Particle Swarm Optimization for Many-Objective Gateway Placement Optimization. 1-8 - Xilu Wang, Kaifeng Yang, Peng Liao, Mengxuan Zhang, Yaochu Jin:
Efficient Federated Bayesian Optimization with Symbolic Regression Model. 1-9 - Jing Yang, Chenyu Wang, Xingjuan Cai:
Research on Multi-Objective Multitasking Algorithm Based on Dimensional Importance Assessment and Knowledge Transfer. 1-8 - Timo Kötzing, Aishwarya Radhakrishnan:
Discrete Evolutionary Algorithms for Optimizing Sphere. 1-8 - Gabriel Machado Santos, Rita Maria da Silva Julia, Marcelo Zanchetta do Nascimento:
Diverse Prompts: Illuminating the Prompt Space of Large Language Models with MAP-Elites. 1-8 - Eduard Morozov, Sergei Gorbunov, Vladimir Stanovov:
Optimizing Neural Network Loss Function with Surrogate-assisted Differential Evolution. 1-4 - Mitali Sil, Pratyusha Rakshit, Sayan Chatterjee, Archana Chowdhury:
Coevolutionary Optimization for Multi-UAV Path-Planning. 1-8 - Leandro A. Loss, Pratikkumar Dhuvad:
From Manual to Automated Prompt Engineering: Evolving LLM Prompts with Genetic Algorithms. 1-8 - Kaichen Ouyang, Shengwei Fu, Yi Chen, Huiling Chen:
Dynamic Graph Neural Evolution: An Evolutionary Framework Integrating Graph Neural Networks with Adaptive Filtering. 1-8 - Xiaolei Zhang, Yu Xue, Ferrante Neri:
Embedding Comparator for Evolutionary Neural Architecture Search via Contrastive Learning. 1-8 - Yichen Hao, Linsheng Xia, Chao Bian, Zhendong Guo, Xiaofang Wang, Haitao Liu:
AI-Assisted Fluid-Structure Modeling and Optimization of Pump-Jet Propulsor. 1-8 - Yanke Zhang, Xiaotong Liu, Ying Tan, Chaoli Sun:
A Large-Scale Expensive Multi-Objective Optimization Algorithm Assisted By Multiple Subproblems Collaboration. 1-7 - Kainan Zhang, Chang Liu:
Multi-Objective Evolutionary Neural Architecture Search for Material Microstructure Segmentation. 1-8 - Jigang Fan, Ying Bi, Bing Xue, Mengjie Zhang:
Flexible Region Detection-based Genetic Programming for Fish Classification With Low-Quality Images. 1-8 - Jingzhe Wang, Yajing Wang, Liang Zhang, Zongwei Luo:
A Dynamic Breathing Surrogate-Assisted Particle Swarm Optimization Algorithm for Expensive Multi-Objective Optimization Problems. 1-9 - Jie Tian, Hongli Bian, Yuyao Zhang, Xiaoxu Zhang, Nevena Mijajlovic:
A GAN-Assisted Bi-Stage Bayesian Co-Evolution Optimization Algorithm for High-dimensional Expensive Many-Objective Problems. 1-4 - Weile Xu, Anqi Pan:
A Neural-Assisted Combinatorial Optimizer with Adaptive Neighborhood Search. 1-4 - Chenyang Guo, Shengnan Zhao, Shiyue Qin:
Q-A DE2: A Novel Approach for Solving Federated Learning Incentive Mechanisms Based on Stackelberg Game. 1-8 - Xin Luan, Huijie Fan, Qiang Wang, Yu Guan, Yandong Tang:
PGFormer: Prompt guide network for underwater image enhancement. 1-8 - Xiaoyue Li, Samuel Baguley, Timo Kötzing:
Algorithm Performance Comparison of the (1+1) EA with Heavy-Tailed Mutators. 1-4 - Shipeng Cen, Ying Tan:
LLM-Driven Customizable Fireworks Algorithm for Diverse Optimization Tasks. 1-9 - Hao Shi, Haoran Zhou, Zhiwen Miao, Chengran Lin:
Learning-Aided Evolutionary Algorithm to Solve Energy-Efficient Dynamic Task Scheduling Problems. 1-8 - Bin Hou, Guoyin Wang, Shuyin Xia, Degang Chen:
A Multi-Granularity Fireworks Algorithm with Collaboration and Competition for Solving the Influence Maximization Problem. 1-8 - Yuye Zhang, Fangfang Zhang, Bing Xue, Mengjie Zhang:
Multimodal Image Classification Using Genetic Programming for Alzheimer's Disease Diagnosis. 1-8 - Shuaiqun Pan, Diederick Vermetten, Manuel López-Ibáñez, Thomas Bäck, Hao Wang:
Transfer Learning of Surrogate Models via Domain Affine Transformation Across Synthetic and Real-World Benchmarks. 1-8 - Lulu Cao, Yinglan Feng, Min Jiang, Kay Chen Tan:
NetGP: A Hybrid Framework Combining Genetic Programming and Deep Reinforcement Learning for PDE Solutions. 1-8 - Kunjie Yu, Jintao Lian, Ying Bi, Jing Liang:
Automatic Feature Learning via Genetic Programming with Flexible Filtering for Skin Cancer Image Classification. 1-8 - Erick Rodríguez-Esparza, Bernardo Morales-Castañeda, Itzel Aranguren, Arturo Valdivia, Mario A. Navarro, Diego Oliva:
Addressing Limitations and Inaccuracy of Diversity Metrics in Evolutionary Algorithms with an Accurate Dimension-Wise Diversity. 1-8 - Yang Nan, Hisao Ishibuchi, Tianye Shu:
Shape of Feasible Regions of Real-World Multi-Objective Problems. 1-7 - Liu-Yue Luo, Zhi-Hui Zhan:
A Simple and Comprehensive Method Based on Measure Comparison for Global Convergence Analysis in Evolutionary Computation. 1-6 - Jialong Hu, Chuanzhi Zang:
Research on bearing fault diagnosis based on secondary decomposition and stochastic configuration network. 1-7 - Tuo Hu, Xiaoying Yang, Fuhua Jia, Hang Xu, Kai Yang, Tianxiang Cui:
An Enhanced Multi-Objective Evolutionary Algorithm for Adaptive-Formation Multi-UAV Task Allocation with Load-Dependent Constraints. 1-8 - Yu-Wei Wen, Yu-Liang Tang, Chuan-Kang Ting:
Evolutionary Music Composition Using Tokenized Representation Based on Byte Pair Encoding. 1-4 - Yuxia Pan, Guang Xie:
Improved Jaya Algorithm for Solving No-Wait Distributed Scheduling Problems. 1-7 - Junjie Yao, Guijie Zhu, Jiafan Zhuang, Zhifeng Hao, Wenji Li, Zhun Fan:
U-Shaped Network Based on Particle Swarm Optimization for Retinal Vessel Segmentation. 1-8 - Mustafa Misir, Aldy Gunawan:
Outperforming the Best with Minimal Effort: Algorithm Selection for Constrained Multi-objective Optimization. 1-8 - Bin Hou, Degang Chen, Guoyin Wang, Shuyin Xia:
MGO: A Multi-Granularity Optimization Algorithm Based on Granular-balls. 1-8 - NagaSree Keerthi Pujari, A. K. Qin, Kishalay Mitra:
Multi-Task Optimisation-Based Yaw Control For Wind Farm Power Generation. 1-4 - Kota Nagakane, Masahiro Nomura, Isao Ono:
Multi-start Optimization Method via Scalarization based on Target Point-based Tchebycheff Distance for Multi-objective Optimization. 1-9 - Chenyang Li, Gary G. Yen, Zhenan He:
Generative Model-Driven Large-Scale Dynamic Multi-Objective Evolutionary Optimization. 1-8 - Jordana Leandro Seixas, Flávio Secco Fonseca, Maíra Araújo de Santana, Cecilia Cordeiro da Silva, Clarisse Lins de Lima, Arianne Sarmento Torcate, Giselle Machado Magalhaes Moreno, Juliana Carneiro Gomes, Wellington Pinheiro dos Santos:
A Novel Hybrid System for ASD Diagnosis: Integrating EEG Image Analysis, Deep Learning, and Swarm Intelligence. 1-7 - Quan Zhou, Jinglong Gao, Hao Jiang:
A Dual-population Evolutionary Algorithm for Multi-objective Vehicle Routing Problems with Three Dimensional Loading Constraints. 1-8 - Ching-Chi Lee, Yi-Ruei Chen, Chuan-Kang Ting:
Robust Optimization Over Time by Integrating Reinforcement Learning and Particle Swarm Optimization. 1-8 - Yunjie Li, Pengfei Liu, Haitao Zhao, Haifeng Tang, Minxian Shen, Lingyao Wang:
LW-MSTCNN: An Optimization Study on Integrating Multiscale Attention Mechanism with Deep Separable Convolutional Networks. 1-4 - Aohan Mei, Nan Li, Tian Zhang, Lianbo Ma:
Evolutionary Graph Fusion Architecture Search. 1-8 - Zhicheng Wu, Bing Xue, Mengjie Zhang:
Multitree GP-Based Feature Learning for Multimodal Medical Image Classification. 1-8 - Mengli Shan, Changhe Li, Mai Peng, Xiaobo Liu, Michalis Mavrovouniotis, Shengxiang Yang:
Feasible Regions Identification based on Historical Solutions for Constrained Optimization Problems. 1-8 - Songxiang Zhong, Min-Rong Chen, Zeyan Zhang, Jixiang Zeng, Zihua Guo:
A Two-Stage Adaptive Large-Scale Evolutionary Algorithm via PCA-Guided Perturbation. 1-4 - Mahmoud Golabi, Abdennour Azerine, Ammar Oulamara, Lhassane Idoumghar:
Learning-Driven Optimization with Integrated Multi-Model Approaches for Efficient Electric Vehicle Charging Scheduling. 1-4 - J. J. Herrera, Francisco Herrera, Isaac Triguero:
A First Approach to Refine Semantic Spaces in Zero-Shot Learning with a Genetic Algorithm. 1-4 - Meihan Guo, Yun Dong:
Learning-based Bi-level Multi-objective Optimization for Container Stowage Planning Problem. 1-4 - Mohamad Rimas Mohamad Anfar, Qi Chen, Mengjie Zhang:
Node Importance-Based Multi-Objective Genetic Programming for Enhanced Model Interpretability in Symbolic Regression. 1-8 - Pengcheng Jiang, Yu Xue, Ferrante Neri:
Homogeneous Architecture Augmentation and Confidence Prediction for Evolutionary Neural Architecture Search. 1-8 - Zhipan Li, Huigui Rong:
Using the Local Auxiliary Population to Balance the Convergence and Constraints in Constrained Multimodal Multi-objective Optimization. 1-8 - Xiaoge Li, Xiaotong Liu, Chaoli Sun:
A Preference-Guided Multi-Objective Recommendation Algorithm with an Adaptive Tchebycheff Environmental Selection. 1-8 - He Yu, Jing Liu:
Community-Aware Role-Based Graph Embedding. 1-8 - Hongxi Shi, Yonghao Du, Ziyang Zhang, Lei Li, Feiran Wang:
LLM Based Bi-Level Online Order Dispatching and Scheduling for Large-Scale Earth Observation Satellites. 1-4 - Cristian Pop, Petrica C. Pop, Adrian Petrovan:
An Improved Pareto Front for the Non-Linear Multi-Objective Fixed Cost Transportation Problem. 1-4 - Yutong Jiang, Hui Lu, Ping Zhou, Xuehao Deng:
A Two-Layer Task Allocation Algorithm for Search and Rescue under Communication Constraints. 1-8 - Yicun Hua, Yang Jiang, Yuan Cao, Yan Xiao:
Memory-Enhanced Evolutionary Algorithm for Fast Multi- and Many-Objective Optimization. 1-8 - Zihao Zhang, Yongjun Liu, Zhengyu Li:
FLFSI: Feature-Level Image Fusion and Improved Swarm Intelligence Optimization Algorithm for Endometrial Detection in Contrast-Enhanced Ultrasound Imaging. 1-8 - Krishal Dhungana, Azam Asilian Bidgoli:
Multi-objective Feature Weighting: A Dual Phase Evolutionary Approach for Cancer Classification. 1-4 - Yifan Liu, Ying Tan:
Design of Mutation Operators in Fireworks Algorithm Assisted by Large Language Models. 1-10 - Yanyu Chen, Linfeng Zhu, Lie Meng Pang, Hisao Ishibuchi:
Effects of Unbounded External Archive on the Performance of Constrained Multiobjective Evolutionary Algorithms. 1-8 - Danlin Li, Bo Yan, Quan Long, Bin Wang:
DE-KAN: A Differential Evolution-Based Optimization Framework for Enhancing Kolmogorov-Arnold Networks in Complex Nonlinear Modeling. 1-8 - Seyed Mahdi Shavarani, Mahmoud Golabi, Lhassane Idoumghar:
Integrating Active Learning for Improved Preference Modeling in Tree-Based Interactive Evolutionary Multi-Objective Algorithms. 1-8 - Lucas V. Murilo, Luiz G. A. Martins:
Evolutionary Adjustment of Probabilistic Models based on Cellular Automata applied to Fire Propagation. 1-4 - Zijian Jiang, Qiqi Liu, Yaochu Jin, Jiaqiang Li:
Task Representation in Optimization: Utilizing Image Modalities for Effective Comparison. 1-4 - Yingze Zhong, Hui Li, Zhan Shi, Jianyong Sun:
Deep Reinforcement Learning Model for Robust Travel Salesman Problem via Multiobjective Optimization Framework. 1-4 - Peng Liao, Xilu Wang, Yaochu Jin, Chaoli Sun, Wenli Du:
Surrogate-Assisted Evolutionary Neural Architecture Search with Architecture Knowledge Transfer. 1-8 - Ke Chen, Tianqing Wu, Ying Bi, Jing Liang, Kunjie Yu:
Dynamic Threshold Selection in Genetic Programming for Imbalanced Fault Diagnosis. 1-8 - Wujie Fu, Anupam Trivedi, Dipti Srinivasan, Aaron Danner:
Physics-Informed Optimization via Ising Spin System Evolution. 1-4 - Aoi Kato, Kenta Kojima, Masahiro Nomura, Isao Ono:
A Memetic Algorithm based on Variational Autoencoder for Black-Box Discrete Optimization with Epistasis among Parameters. 1-4 - Siying Lv, Shuwei Zhu, Wei Fang:
Adaptive surrogate-assisted evolutionary multi-objective community detection algorithm with core node learning. 1-8 - Zhuoliang Xie, Fei Liu, Zhenkun Wang, Qingfu Zhang:
LLM-Driven Neighborhood Search for Efficient Heuristic Design. 1-8 - Jing Liang, Zexuan Yang, Ying Bi:
A Two-Stage Approach Combining Feature Selection and Construction for Hyperspectral Crop Classification. 1-8 - Cheng Chen, Haokai Hong, Wanyu Lin, Kay Chen Tan:
A Physics-Informed Evolutionary Transfer Optimization Framework for Material Design. 1-9 - Junwen Yang, Haoyu Wang, Jian Xiong:
Evolutionary Strategies with Dual Graph Reinforcement Learning for Flexible Job Shop Scheduling Problem. 1-8 - Yun Zhou, Gang Chen, Bing Xue, Mengjie Zhang, Jeremy S. Rooney, Keith C. Gordon, Daniel P. Killeen:
Genetic Programming for High-Level Multi-Spectral Data Fusion in Fish Biochemical Analysis. 1-8 - Meng Gao, Xiao-Fang Liu, Zhi-Hui Zhan, Jun Zhang:
A Dual-Encoding-based Genetic Algorithm for Multi-Objective Multi-UAV Scheduling in Firefighting Scenarios. 1-4 - Gjorgjina Cenikj, Gasper Petelin, Tome Eftimov:
ClustOpt: A Clustering-Based Approach for Representing and Visualizing the Search Dynamics of Numerical Metaheuristic Optimization Algorithms. 1-8 - Yu-Cheng Cheng, Yanan Wang, Yan Pei:
Interactive Evolutionary Computation in the Latent Space of Deep Learning Models for Creative Game Content Generation. 1-8 - Fei Ming, Bing Xue, Wenyin Gong, Mengjie Zhang:
Solving Multimodal Multi-objective Optimization Problems in Limited Time. 1-4 - Rafael Schneider, Cláudio André Da Silva Alves, Israel Mendonça, Pedro Henrique González Silva:
A Hybrid Reinforcement Learning BRKGA with Local Branching for a Sensor Allocation Problem. 1-8 - Wenkang Zhang, Debin Fan, Enyan Zhu, Yan Xiao, Hu Peng, Honglian Wu:
Application of evolutionary computation to decision-making in production processes. 1-8 - Ryuki Ishizawa, Hiroyuki Sato, Keiki Takadama:
Controlling an Exploration in Unbounded Search Space by Novelty-Based Multi-Objectivization. 1-8 - Benjie Zhao, Ruwang Jiao, Meng Xu, Shuaishuai Liu, Chao Guo, Shaolin Wang, Jin Wang:
Dual-Tree Genetic Programming for Automated Discovery of Computing Power Network Scheduling Heuristics. 1-8 - Zhanqi Liu, Chang Liu:
Deep Learning-Assisted Numerical Simulation of Laser Cladding for Cold-Rolled Rolls. 1-4 - Caitong Yue, Lihong Cheng, Jing Liang, Kunjie Yu, Mengmeng Li:
Multimodal Multiobjective Optimization in the Charging Station Site Selection. 1-7 - Zhaoqi Wang, Lei Wang, Qiaoyong Jiang, Xinhui Duan:
Enhancing Knowledge Transfer in the EMTO with Manifold Learning and Reinforcement Learning. 1-8 - Xin Zhao, Haotong Li, Tao Zhang, Jiajing Qi, Yahui Cao, Ming Yang, Weijie Liu:
An Efficient Multi-Objective Shuffled Frog Leaping Algorithm-Based Method for Metabolic Pathway Design. 1-4 - William Huang, Yi Mei, Günther R. Raidl, Fangfang Zhang, Laurenz Tomandl, Steffen Limmer, Mengjie Zhang, Tobias Rodemann:
Genetic Programming Hyper-Heuristic for the Dynamic Electric Dial-a-Ride Problem. 1-8 - Trung Hieu Vu, Tien Thanh Nguyen, Eyad Elyan:
An Evolutionary Neural Architecture Search-Based Approach for Time Series Forecasting. 1-8 - Tong Liu, Yapei Wu, Tao Wang, Xingguang Peng:
A Nested Genetic Algorithm for Modeling Self-Organizing Rules in Collective Behaviors. 1-8 - Abdennour Azerine, Mahmoud Golabi, Lhassane Idoumghar:
Bi-Level Optimization of Electric Vehicle Charging Scheduling Using Hybrid Genetic Algorithm and Reinforcement Learning. 1-8 - Márcio P. Basgalupp, Rodrigo C. Barros, Ricardo Cerri, Ferrante Neri, Péricles B. C. Miranda, Teresa Bernarda Ludermir:
Grammar-based Evolutionary Approaches for Software Effort Estimation. 1-4 - Kun Wang, Dongdong Yang, Dalei Song, Guoping Zhang:
Research on USV Encirclement and Confrontation Strategy Based on Shepherding Algorithm. 1-4 - Yuejing Zhai, Yiping Li, Huijie Li, Wuman Luo:
The Dual-Focus Dynamic Multiple Imputation Approach For MNAR Missing Values In Medical Data. 1-8 - Mokgadi G. Makgopo, Olumuyiwa Otegbeye, Absalom E. Ezugwu, Diego Oliva:
Optimizing Blood Plasma Distribution in Blood Banks through Evolutionary Computation. 1-8 - Yaxue Liu, Jingchuan Zhang, Xianpeng Wang:
Matrix-Driven Adaptive Dual-Space Evolutionary Algorithm for Many-Task Optimization. 1-8 - Samuel Steen, Tingjun Lei, Chaomin Luo, Sicong Shao, Lin Gong:
A Moss Growth Optimization Approach to Robot Path Planning. 1-4 - Yu-Tang Hsu, Jia-He Tee, Chuan-Kang Ting:
Experience-Driven Offline Knowledge Learning Framework for Evolutionary Algorithms. 1-8 - Xinyu Zhou, Yanjun Zhu, Weifeng Lin:
A dual-population and three-stage constrained multi-objective evolutionary algorithm based on alternative evolution and degeneration. 1-8 - Chunyu Wang, Qi Chen, Bing Xue, Mengjie Zhang:
Semantics-Driven Task Similarity in Multi-Task Genetic Programming for Multi-Output Symbolic Regression. 1-8 - Stephan Frank, Tobias Glasmachers:
Exploring Parameter Influence on Empirical Drift Behavior for Variable-Metric Evolution Strategies. 1-7 - Shaojie Chen, Jingjing Wang, Jun Yu, Qingchao Jiang, Qinqin Fan:
Adaptive Transfer Learning Assisted Multimodal Multi-objective Optimization Algorithm Based on Zoning Search. 1-9 - Eneko Osaba, Pablo Miranda-Rodriguez, Andreas Oikonomakis, Matic Petric, Alejandra Ruiz, Sebastian Bock, Michail-Alexandros Kourtis:
Solving Drone Routing Problems with Quantum Computing: A Hybrid Approach Combining Quantum Annealing and Gate-Based Paradigms. 1-8 - Cong Li, Le Yan, Haoyu Zhang, Weiguo Sheng, Haibo Gao, Chang-Duo Liang:
A Dynamic Multi-Method Evolutionary Algorithm for Multi-Objective Optimization with Learning Strategy. 1-4 - Iori Minakawa, Shio Kawakami, Hiroyuki Miyashita, Tsutomu Iida, Hiroyuki Sato:
Real-World Cardboard Production Optimization Using Multi-Objective Evolutionary Algorithms. 1-8 - Peng Zeng, Chang Liu, Zhenghao Yu, Yaochu Jin, Guangxi Wan:
Cross-Entropy Firefly Algorithm-Assisted Deep Reinforcement Learning for Flexible Flow Shop Scheduling Problems. 1-4 - Yujie Zhang, Guoquan Li, Zhengwen Huang, Jinshuo Jia, Xiang Li, Donghui Peng:
A Multi-Objective Genetic Programming with Size Diversity for Symbolic Regression Problem. 1-4 - Santiago Gonzalez, Xin Qiu, Risto Miikkulainen:
Effective Regularization Through Evolutionary Loss-Function Metalearning. 1-9 - Yiwen Wang, Meiling Xu:
Modified BBO-based Graph Convolutional Recurrent Neural Network for Emotion Recognition. 1-4 - Rui Zhong, Jun Yu, Xingbang Du, Enzhi Zhang, Abdelazim G. Hussien:
Improved Competitive Swarm Optimizer with Linear Population Reduction for Large-scale Optimization. 1-8 - Yuelang Sun, Guan Wang, Weihua Li, Matthew Kuo, Quan Bai, Jianhua Jiang:
Multi-Level Representation of Long MIDI Sequences: Integrating Bar-Level Encoding with Music-Level Context. 1-8 - Yujianing Wang, Qiang Wang, Huijie Fan:
Joint Attention Mechanism and Multi-task Learning for Weakly Supervised Skin Image Segmentation. 1-9 - Jin Wang, Qingbin Guo, Haoran Gu, Handing Wang:
A Parallel Surrogate-Assisted Multi-Penalty Function Search for Simulation-Driven Antenna Design. 1-8 - Wei Zheng, Zhifang Wei, Yang Chen, Mingming Yang:
MMEATC: A Multimodal Multiobjective Evolutionary Algorithm with Three Clustering Mechanisms. 1-8 - Ameel Valjee, Bilal Aslan, Geoff Nitschke:
Behavior Allocations in Robotic Collective Herding Behavior Evolution. 1-8 - Zhiyang Zhang, Qianlong Dang, Tingting Wang:
Distance-Based Weak Convergence Strategy for Multimodal Multi-Objective Optimization. 1-8 - Yuan Yao, Chen Li, Jun Wu, Zhang Yi, Ying Song, Guangjun Li, Junjie Hu:
A Dual-Resolution Cooperative Evolutionary Algorithm for Multi-Objective IMRT Inverse Planning. 1-8

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