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ORCIDGECCO 2015: Madrid, Spain
- Sara Silva, Anna Isabel Esparcia-Alcázar:
Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2015, Madrid, Spain, July 11-15, 2015. ACM 2015, ISBN 978-1-4503-3472-3
Ant Colony Optimization and Swarm Intelligence
- Cen Cao, Qingjian Ni, Yuqing Zhai:
An Improved Collaborative Filtering Recommendation Algorithm Based on Community Detection in Social Networks. 1-8 - Nathan Fortier
, John W. Sheppard, Shane Strasser:
Parameter Estimation in Bayesian Networks Using Overlapping Swarm Intelligence. 9-16 - Tobias Friedrich, Timo Kötzing, Martin S. Krejca, Andrew M. Sutton:
Robustness of Ant Colony Optimization to Noise. 17-24 - Mardé Helbig, Andries P. Engelbrecht:
The Effect of Quantum and Charged Particles on the Performance of the Dynamic Vector-evaluated Particle Swarm Optimisation Algorithm. 25-32 - Udit Kumar, Jayadeva, Sumit Soman:
Enhancing IACOR Local Search by Mtsls1-BFGS for Continuous Global Optimization. 33-40 - Yu Liu, Wei-Neng Chen, Xiaomin Hu, Jun Zhang:
An Ant Colony Optimizing Algorithm Based on Scheduling Preference for Maximizing Working Time of WSN. 41-48 - Michalis Mavrovouniotis, Felipe Martins Müller, Shengxiang Yang:
An Ant Colony Optimization Based Memetic Algorithm for the Dynamic Travelling Salesman Problem. 49-56 - Luis Miguel Antonio, Carlos Artemio Coello Coello:
Particle Swarm Optimization Based on Linear Assignment Problem Transformations. 57-64 - Ruby L. V. Moritz, Martin Middendorf:
Evolutionary Inheritance Mechanisms for Multi-criteriaDecision Making in Multi-agent Systems. 65-72 - Diego Vrague Noble, Felipe Grando, Ricardo Matsumura de Araújo, Luís da Cunha Lamb:
The Impact of Centrality on Individual and Collective Performance in Social Problem-Solving Systems. 73-80 - Daqing Yi, Kevin D. Seppi, Michael A. Goodrich:
Input-to-State Stability Analysis on Particle Swarm Optimization. 81-88 - Xue Yu, Wei-Neng Chen, Xiaomin Hu, Jun Zhang:
A Set-based Comprehensive Learning Particle Swarm Optimization with Decomposition for Multiobjective Traveling Salesman Problem. 89-96
Artificial Immune Systems and Artificial Chemistries
- Samir Borgohain, Shivashankar B. Nair:
An Immuno-inspired Approach Towards Sentence Generation. 97-104 - George Matthew Fricke, Sarah R. Black, Joshua P. Hecker, Judy L. Cannon, Melanie E. Moses:
Distinguishing Adaptive Search from Random Search in Robots and T cells. 105-112 - Julie Greensmith:
Securing the Internet of Things with Responsive Artificial Immune Systems. 113-120 - Elizabeth Montero, María Cristina Riff:
RAISTTP Revisited to Solve Relaxed Travel Tournament Problem. 121-128
Artificial Life/Robotics/Evolvable Hardware
- Josh C. Bongard, Anton Bernatskiy, Kenneth R. Livingston, Nicholas Livingston, John H. Long Jr., Marc L. Smith:
Evolving Robot Morphology Facilitates the Evolution of Neural Modularity and Evolvability. 129-136 - Anthony J. Clark, Philip K. McKinley, Xiaobo Tan:
Enhancing a Model-Free Adaptive Controller through Evolutionary Computation. 137-144 - Francesco Corucci, Marcello Calisti, Helmut Hauser, Cecilia Laschi:
Novelty-Based Evolutionary Design of Morphing Underwater Robots. 145-152 - Mohammad Divband Soorati, Heiko Hamann:
The Effect of Fitness Function Design on Performance in Evolutionary Robotics: The Influence of a Priori Knowledge. 153-160 - Iñaki Fernández Pérez, Amine M. Boumaza, François Charpillet:
Decentralized Innovation Marking for Neural Controllers in Embodied Evolution. 161-168 - Emma Hart, Andreas Steyven, Ben Paechter:
Improving Survivability in Environment-driven Distributed Evolutionary Algorithms through Explicit Relative Fitness and Fitness Proportionate Communication. 169-176 - Jacqueline Heinerman, Dexter Drupsteen, A. E. Eiben:
Three-fold Adaptivity in Groups of Robots: The Effect of Social Learning. 177-183 - Chris Marriott, Jobran Chebib:
Finding a Mate With No Social Skills. 185-192 - Georgios Methenitis, Daniel Hennes, Dario Izzo, Arnoud Visser:
Novelty Search for Soft Robotic Space Exploration. 193-200 - Karol Zieba, Josh C. Bongard:
An Embodied Approach for Evolving Robust Visual Classifiers. 201-208
Biological and Biomedical Applications
- Arpit Bhardwaj, Aruna Tiwari, M. Vishaal Varma, M. Ramesh Krishna:
An Analysis of Integration of Hill Climbing in Crossover and Mutation operation for EEG Signal Classification. 209-216 - Rudy Clausen, Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu:
Evolution Strategies for Exploring Protein Energy Landscapes. 217-224 - Stephen Lincoln, Ian Rogers, Ranjan Srivastava:
Metabolic Design And Engineering Through Ant Colony Optimization. 225-232 - Ángel Monteagudo, José Santos Reyes:
Evolutionary Optimization of Cancer Treatments in a Cancer Stem Cell Context. 233-240
Continuous Optimization
- Maria Yaneli Ameca-Alducin, Efrén Mezura-Montes, Nicandro Cruz-Ramírez:
A Repair Method for Differential Evolution with Combined Variants to Solve Dynamic Constrained Optimization Problems. 241-248 - Dirk V. Arnold, Jeremy Porter:
Towards an Augmented Lagrangian Constraint Handling Approach for the (1+1)-ES. 249-256 - Petr Baudis, Petr Posík:
Global Line Search Algorithm Hybridized with Quadratic Interpolation and Its Extension to Separable Functions. 257-264 - Pascal Kerschke, Mike Preuss, Simon Wessing, Heike Trautmann:
Detecting Funnel Structures by Means of Exploratory Landscape Analysis. 265-272 - Patrick Koch, Samineh Bagheri, Wolfgang Konen, Christophe Foussette, Peter Krause, Thomas Bäck:
A New Repair Method For Constrained Optimization. 273-280 - Oswin Krause, Tobias Glasmachers:
A CMA-ES with Multiplicative Covariance Matrix Updates. 281-288 - Xiao Fang Liu, Zhi-hui Zhan, Jun Zhang:
Dichotomy Guided Based Parameter Adaptation for Differential Evolution. 289-296 - Alexander Melkozerov, Hans-Georg Beyer:
Towards an Analysis of Self-Adaptive Evolution Strategies on the Noisy Ellipsoid Model. 297-304 - Shinichi Shirakawa, Youhei Akimoto, Kazuki Ouchi, Kouzou Ohara:
Sample Reuse in the Covariance Matrix Adaptation Evolution Strategy Based on Importance Sampling. 305-312 - Yuan Sun, Michael Kirley, Saman Kumara Halgamuge:
Extended Differential Grouping for Large Scale Global Optimization with Direct and Indirect Variable Interactions. 313-320
Digital Entertainment Technologies and Arts
- Björn Þór Jónsson, Amy K. Hoover, Sebastian Risi:
Interactively Evolving Compositional Sound Synthesis Networks. 321-328 - Dan Lessin, Sebastian Risi:
Darwin's Avatars: A Novel Combination of Gameplay and Procedural Content Generation. 329-336 - Diego Perez Liebana, Jens Dieskau, Martin Hunermund, Sanaz Mostaghim, Simon M. Lucas:
Open Loop Search for General Video Game Playing. 337-344 - Jacob Schrum, Risto Miikkulainen:
Solving Interleaved and Blended Sequential Decision-Making Problems through Modular Neuroevolution. 345-352 - Sunrise Wang, James Edward Gain, Geoff Stuart Nitschke:
Controlling Crowd Simulations using Neuro-Evolution. 353-360
Evolutionary Combinatorial Optimization and Metaheuristics
- José-Matías Cutillas-Lozano, Domingo Giménez, Francisco Almeida:
Hyperheuristics Based on Parametrized Metaheuristic Schemes. 361-368 - Fabio Daolio, Arnaud Liefooghe, Sébastien Vérel, Hernán E. Aguirre, Kiyoshi Tanaka:
Global vs Local Search on Multi-objective NK-Landscapes: Contrasting the Impact of Problem Features. 369-376 - Jérémie Dubois-Lacoste, Holger H. Hoos, Thomas Stützle:
On the Empirical Scaling Behaviour of State-of-the-art Local Search Algorithms for the Euclidean TSP. 377-384 - Hayden Faulkner, Sergey Polyakovskiy, Tom Schultz, Markus Wagner:
Approximate Approaches to the Traveling Thief Problem. 385-392 - Jorge García-Álvarez, Miguel A. González, Camino R. Vela:
A Genetic Algorithm for Scheduling Electric Vehicle Charging. 393-400 - Sebastian Herrmann, Franz Rothlauf:
Predicting Heuristic Search Performance with PageRank Centrality in Local Optima Networks. 401-408 - Paul Kaufmann, Cong Shen:
Generator Start-up Sequences Optimization for Network Restoration Using Genetic Algorithm and Simulated Annealing. 409-416 - Ahmed Kheiri, Ed Keedwell:
A Sequence-based Selection Hyper-heuristic Utilising a Hidden Markov Model. 417-424 - Stephan Meisel, Christian Grimme, Jakob Bossek, Martin Wölck, Günter Rudolph, Heike Trautmann:
Evaluation of a Multi-Objective EA on Benchmark Instances for Dynamic Routing of a Vehicle. 425-432 - Su Nguyen, Mengjie Zhang, Kay Chen Tan:
A Dispatching rule based Genetic Algorithm for Order Acceptance and Scheduling. 433-440 - Nouri Nouha, Talel Ladhari:
Minimizing Regular Objectives for Blocking Permutation Flow Shop Scheduling: Heuristic Approaches. 441-448 - Gabriela Ochoa, Francisco Chicano, Renato Tinós, L. Darrell Whitley:
Tunnelling Crossover Networks. 449-456 - Stjepan Picek, Robert I. McKay, Roberto Santana, Tom Gedeon:
Fighting the Symmetries: The Structure of Cryptographic Boolean Function Spaces. 457-464 - Mojgan Pourhassan, Frank Neumann:
On the Impact of Local Search Operators and Variable Neighbourhood Search for the Generalized Travelling Salesperson Problem. 465-472 - Gabriel de Oliveira Ramos, Ana Lúcia Cetertich Bazzan:
Towards the User Equilibrium in Traffic Assignment Using GRASP with Path Relinking. 473-480 - Madalina Raschip, Cornelius Croitoru, Kilian Stoffel:
Guiding Evolutionary Search with Association Rules for Solving Weighted CSPs. 481-488 - Carlos Segura, Salvador Botello Rionda, Arturo Hernández Aguirre, Sergio Ivvan Valdez Peña:
A Novel Diversity-based Evolutionary Algorithm for the Traveling Salesman Problem. 489-496 - Sebastian Volke, Dirk Zeckzer, Gerik Scheuermann, Martin Middendorf:
A Visual Method for Analysis and Comparison of Search Landscapes. 497-504
Estimation of Distribution Algorithms
- Josu Ceberio, Alexander Mendiburu, José Antonio Lozano:
Kernels of Mallows Models for Solving Permutation-based Problems. 505-512 - Duc-Cuong Dang, Per Kristian Lehre:
Simplified Runtime Analysis of Estimation of Distribution Algorithms. 513-518 - Shih-Huan Hsu, Tian-Li Yu:
Optimization by Pairwise Linkage Detection, Incremental Linkage Set, and Restricted / Back Mixing: DSMGA-II. 519-526 - Ignacio Segovia-Dominguez, Arturo Hernández Aguirre:
An Estimation of Distribution Algorithm based on the Natural Gradient and the Boltzmann Distribution. 527-534 - Yu-Fan Tung, Tian-Li Yu:
Theoretical Perspective of Convergence Complexity of Evolutionary Algorithms Adopting Optimal Mixing. 535-542
Evolutionary Machine Learning
- Juan Ignacio Alonso-Barba, Luis de la Ossa, Olivier Regnier-Coudert, John A. W. McCall, José A. Gámez, José Miguel Puerta:
Ant Colony and Surrogate Tree-Structured Models for Orderings-Based Bayesian Network Learning. 543-550 - Sylvain Cussat-Blanc, Kyle Ira Harrington:
Genetically-regulated Neuromodulation Facilitates Multi-Task Reinforcement Learning. 551-558 - Eduardo Corrêa Gonçalves, Alexandre Plastino, Alex Alves Freitas:
Simpler is Better: a Novel Genetic Algorithm to Induce Compact Multi-label Chain Classifiers. 559-566 - Wojciech Jaskowski, Marcin Grzegorz Szubert, Pawel Liskowski, Krzysztof Krawiec:
High-Dimensional Function Approximation for Knowledge-Free Reinforcement Learning: a Case Study in SZ-Tetris. 567-573 - Sergio Peignier, Christophe Rigotti, Guillaume Beslon:
Subspace Clustering Using Evolvable Genome Structure. 575-582 - Cao Truong Tran, Mengjie Zhang, Peter Andreae:
Multiple Imputation for Missing Data Using Genetic Programming. 583-590 - Ryan J. Urbanowicz, Jason H. Moore:
Retooling Fitness for Noisy Problems in a Supervised Michigan-style Learning Classifier System. 591-598
Evolutionary Multiobjective Optimization
- Maria João Alves, Carlos Henggeler Antunes, Pedro Carrasqueira:
A PSO Approach to Semivectorial Bilevel Programming: Pessimistic, Optimistic and Deceiving Solutions. 599-606 - Md. Asafuddoula, Tapabrata Ray, Hemant Kumar Singh:
Characterizing Pareto Front Approximations in Many-objective Optimization. 607-614 - Radhia Azzouz, Slim Bechikh, Lamjed Ben Said:
Multi-objective Optimization with Dynamic Constraints and Objectives: New Challenges for Evolutionary Algorithms. 615-622 - Jürgen Branke, Ke Lu:
Finding the Trade-off between Robustness and Worst-case Quality. 623-630 - Marlon Alexander Braun, Pradyumn Kumar Shukla, Hartmut Schmeck:
Obtaining Optimal Pareto Front Approximations using Scalarized Preference Information. 631-638 - Dimo Brockhoff, Thanh-Do Tran, Nikolaus Hansen:
Benchmarking Numerical Multiobjective Optimizers Revisited. 639-646 - Maxim Buzdalov, Ilya Yakupov, Andrey Stankevich:
Fast Implementation of the Steady-State NSGA-II Algorithm for Two Dimensions Based on Incremental Non-Dominated Sorting. 647-654 - Chad Michael Byers, Betty H. C. Cheng:
An Approach to Mitigating Unwanted Interactions between Search Operators in Multi-Objective Optimization. 655-662 - Roman Denysiuk, Lino A. Costa, Isabel A. Espírito-Santo:
MOEA/VAN: Multiobjective Evolutionary Algorithm Based on Vector Angle Neighborhood. 663-670 - Andreia P. Guerreiro, Carlos M. Fonseca, Luís Paquete:
Greedy Hypervolume Subset Selection in the Three-Objective Case. 671-678 - Raquel Hernández Gómez, Carlos A. Coello Coello:
Improved Metaheuristic Based on the R2 Indicator for Many-Objective Optimization. 679-686 - Radek Hrbacek:
Parallel Multi-Objective Evolutionary Design of Approximate Circuits. 687-694 - Hisao Ishibuchi, Hiroyuki Masuda, Yusuke Nojima:
A Study on Performance Evaluation Ability of a Modified Inverted Generational Distance Indicator. 695-702 - Miqing Li, Shengxiang Yang, Xiaohui Liu:
A Performance Comparison Indicator for Pareto Front Approximations in Many-Objective Optimization. 703-710 - Md. Shahriar Mahbub, Tobias Wagner, Luigi Crema:
Improving Robustness of Stopping Multi-objective Evolutionary Algorithms by Simultaneously Monitoring Objective and Decision Space. 711-718 - Juan José Palacios Alonso, Bilel Derbel:
On Maintaining Diversity in MOEA/D: Application to a Biobjective Combinatorial FJSP. 719-726 - Martin Pilát, Roman Neruda:
Incorporating User Preferences in MOEA/D through the Coevolution of Weights. 727-734 - Rodrigo Lankaites Pinheiro, Dario Landa Silva, Jason A. D. Atkin:
Analysis of Objectives Relationships in Multiobjective Problems Using Trade-Off Region Maps. 735-742 - Xin Qiu, Weinan Xu, Jian-Xin Xu, Kay Chen Tan:
A New Framework for Self-adapting Control Parameters in Multi-objective Optimization. 743-750 - Saeideh Shirinzadeh, Mathias Soeken, Rolf Drechsler:
Multi-Objective BDD Optimization with Evolutionary Algorithms. 751-758 - Jing Xiao, Mei-Ling Gao, Min-Mei Huang:
Empirical Study of Multi-objective Ant Colony Optimization to Software Project Scheduling Problems. 759-766 - Yiming Yan, Ioannis Giagkiozis, Peter J. Fleming:
Improved Sampling of Decision Space for Pareto Estimation. 767-774 - Yuan Yuan, Hua Xu, Bo Wang:
An Experimental Investigation of Variation Operators in Reference-Point Based Many-Objective Optimization. 775-782 - Saúl Zapotecas Martínez, Bilel Derbel, Arnaud Liefooghe, Dimo Brockhoff, Hernán E. Aguirre, Kiyoshi Tanaka:
Injecting CMA-ES into MOEA/D. 783-790
Genetic Algorithms
- Shahriar Asta, Ender Ozcan:
A Tensor Analysis Improved Genetic Algorithm for Online Bin Packing. 799-806 - Stéphane Bonnevay, Philippe Aubertin, Gérald Gavin:
A Genetic Algorithm to Solve a Real 2-D Cutting Stock Problem with Setup Cost in the Paper Industry. 807-814 - Axel de Perthuis de Laillevault, Benjamin Doerr, Carola Doerr:
Money for Nothing: Speeding Up Evolutionary Algorithms Through Better Initialization. 815-822 - Dan Ding, Guizhen Zhu, Xiaoyun Wang:
A Genetic Algorithm for Searching the Shortest Lattice Vector of SVP Challenge. 823-830 - Benjamin Doerr, Carola Doerr, Timo Kötzing:
Solving Problems with Unknown Solution Length at (Almost) No Extra Cost. 831-838 - Carola Doerr, Johannes Lengler:
Elitist Black-Box Models: Analyzing the Impact of Elitist Selection on the Performance of Evolutionary Algorithms. 839-846 - Yong-Feng Ge, Yue-Jiao Gong, Wei-jie Yu, Xiaomin Hu, Jun Zhang:
Reconstructing Cross-Cut Shredded Text Documents: A Genetic Algorithm with Splicing-Driven Reproduction. 847-853 - Brian W. Goldman, William F. Punch:
Gray-Box Optimization using the Parameter-less Population Pyramid. 855-862 - Kazuyuki Inoue, Taku Hasegawa, Yuta Araki, Naoki Mori, Keinosuke Matsumoto:
Adaptive Control of Parameter-less Population Pyramid on the Local Distribution of Inferior Individuals. 863-870 - Jason Zhi Liang, Risto Miikkulainen:
Evolutionary Bilevel Optimization for Complex Control Tasks. 871-878 - Thiago Alcântara Luiz, Alan R. R. de Freitas, Frederico G. Guimarães:
A New Perspective on Channel Allocation in WLAN: Considering the Total Marginal Utility of the Connections for the Users. 879-886 - António Manuel Rodrigues Manso, Luís Miguel Parreira Correia:
Parasite Diversity in Symbiogenetic Multiset Genetic Algorithm: Optimization of Large Binary Problems. 887-894 - Alicia Morales-Reyes, Hugo Jair Escalante, Martín Letras, René Cumplido:
An Empirical Analysis on Dimensionality in Cellular Genetic Algorithms. 895-902 - Mojgan Pourhassan, Wanru Gao, Frank Neumann:
Maintaining 2-Approximations for the Dynamic Vertex Cover Problem Using Evolutionary Algorithms. 903-910 - Krzysztof L. Sadowski, Peter A. N. Bosman, Dirk Thierens:
A Clustering-Based Model-Building EA for Optimization Problems with Binary and Real-Valued Variables. 911-918 - Fernando Stefanello, Vaneet Aggarwal, Luciana Salete Buriol, José Fernando Gonçalves, Mauricio G. C. Resende:
A Biased Random-key Genetic Algorithm for Placement of Virtual Machines across Geo-Separated Data Centers. 919-926 - L. Darrell Whitley:
Mk Landscapes, NK Landscapes, MAX-kSAT: A Proof that the Only Challenging Problems are Deceptive. 927-934