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ORCIDGECCO 2022: Boston, MA, USA
- Jonathan E. Fieldsend, Markus Wagner:
GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9 - 13, 2022. ACM 2022, ISBN 978-1-4503-9268-6
Competition entry: Competition evolutionary computation in the the energy domain: Risk-based energy scheduling
- Ansel Y. Rodríguez-González
, Ramón Aranda, Miguel Ángel Álvarez-Carmona, Yoan Martínez-López, Julio Madera Quintana:
Applying ring cellular encode-decode UMDA to risk-based energy scheduling. 1-2
Competition entry: Competition the abstractswarm multi-agent logistics competition
- Patrick A. Winkel:
AbstractSwarm multi-agent logistics competition entry: QPlus. 3-4
Competition entry: Competition real parameter single objective bound constrained optimization
- Hao Ding, Yongfeng Gu, Hua Wu, Jun Zhou:
NL-SOMA-CLP for real parameter single objective bound constrained optimization. 5-6 - Yongfeng Gu, Hao Ding, Hua Wu, Jun Zhou:
Opposite learning and multi-migrating strategy-based self-organizing migrating algorithm with the convergence monitoring mechanism. 7-8 - Yue Ning, Daohong Jian, Hua Wu, Jun Zhou:
Zeroth-order covariance matrix adaptation evolution strategy for single objective bound constrained numerical optimization competition. 9-10
Competition entry: Competition open optimization competition 2022: Better benchmarking of sampling-based optimization algorithms
- Etor Arza, Josu Ceberio, Ekhiñe Irurozki, Aritz Pérez:
Implementing the cumulative difference plot in the IOHanalyzer. 11-12
Hot off the press
- Denis Antipov, Benjamin Doerr:
Precise runtime analysis for plateau functions: (hot-off-the-press track at GECCO 2022). 13-14 - Jon Ayerdi, Valerio Terragni, Aitor Arrieta, Paolo Tonella, Goiuria Sagardui, Maite Arratibel:
Evolutionary generation of metamorphic relations for cyber-physical systems. 15-16 - Marcelo de Souza, Marcus Ritt, Manuel López-Ibáñez:
Efficient configuration of optimization algorithms. 17-18 - Edgar Galván, Leonardo Trujillo, Fergal Stapleton:
Highlights of semantics in multi-objective genetic programming. 19-20 - Jose Guadalupe Hernandez, Alexander Lalejini, Charles Ofria:
Measuring the ability of lexicase selection to find obscure pathways to optimality. 21-22 - Jose Guadalupe Hernandez, Alexander Lalejini, Emily L. Dolson:
Phylogenetic diversity predicts future success in evolutionary computation. 23-24 - Alexander Lalejini, Matthew Andres Moreno, Charles Ofria:
Tag-based module regulation for genetic programming. 25-26 - William B. Langdon:
Genetic programming convergence. 27-28 - William B. Langdon, Wolfgang Banzhaf:
Long-term evolution experiment with genetic programming [hot of the press]. 29-30 - Yi Liu, Will N. Browne, Bing Xue:
A comparison of rule compaction algorithms for michigan style learning classifier systems. 31-32 - Yixing Luo, Xiao-Yi Zhang, Paolo Arcaini, Zhi Jin, Haiyan Zhao, Fuyuki Ishikawa, Rongxin Wu, Tao Xie:
Targeting requirements violations of autonomous driving systems by dynamic evolutionary search (HOP at GECCO'22). 33-34 - Michal Witold Przewozniczek, Marcin M. Komarnicki:
Empirical linkage learning for non-binary discrete search spaces in the optimization of a large-scale real-world problem. 35-36 - Carlos Hernández, Oliver Schütze:
Archivers for single- and multi-objective evolutionary optimization algorithms. 37-38 - Dominik Sobania, Dirk Schweim, Franz Rothlauf:
Program synthesis with evolutionary algorithms: Status quo: hot off the press track (GECCO 2022). 39-40 - Khabat Soltanian, Ali Ebnenasir, Mohsen Afsharchi:
Modular grammatical evolution for the generation of artificial neural networks: (hot-off-the-press track at GECCO 2022). 41-42 - Yang Syu, Chien-Min Wang, Yong-Yi Fanjiang:
A verified application of genetic programming: QoS time series modeling and forecasting for web services. 43-44 - Shouda Wang, Weijie Zheng, Benjamin Doerr:
Choosing the right algorithm with hints from complexity theory: (hot-off-the-press track at GECCO 2022). 45-46 - Xinyi Wang, Paolo Arcaini, Tao Yue, Shaukat Ali:
Generating failing test suites for quantum programs with search (hot off the press track at GECCO 2022). 47-48 - Hao Wang, Diederick Vermetten, Furong Ye, Carola Doerr, Thomas Bäck:
IOHanalyzer: Detailed performance analyses for iterative optimization heuristics: hot-off-the-press track @ GECCO 2022. 49-50 - Furong Ye, Carola Doerr, Hao Wang, Thomas Bäck:
Automated configuration of genetic algorithms by tuning for anytime performance: hot-off-the-press track at GECCCO 2022. 51-52 - Weijie Zheng, Yufei Liu, Benjamin Doerr:
A first mathematical runtime analysis of the non-dominated sorting genetic algorithm II (NSGA-II): (hot-off-the-press track at GECCO 2022). 53-54
Late-breaking abstract
- João E. Batista, Sara Silva:
Evolving a cloud-robust water index with genetic programming. 55-56 - Naoya Ikushima, Keiko Ono, Erina Makihara, Sohei Yamakawa, Ryota Shinhama:
CNN structure optimization using differential evolution with individual dependent mechanism. 57-58 - Jolanta Kawulok, Michal Kawulok:
A genetic algorithm for classifying metagenomic data. 59-60 - Egor Kurbatov, Vladimir Mironovich:
Evaluation of inverse selection operators on maximum flow test generation problem. 61-62 - Cullen A. LaKemper, Cehong Wang, Jason A. Yoder:
Biology inspired growth in meta-learning. 63-64 - Matthew Andres Moreno, Emily L. Dolson, Charles Ofria:
Hereditary stratigraphy: genome annotations to enable phylogenetic inference over distributed populations. 65-66 - Jakub Nalepa, Stanislaw Czembor, Wojciech Dudzik, Michal Kawulok:
Evolutionary algorithms meet classical and deep machine learning for skin detection in color images. 67-68 - Sonia Nasri, Hend Bouziri, Wassila Aggoune-Mtalaa:
A population based-approach to address real-life transport on-demand problems. 69-70 - Eneko Osaba, Josu Díaz-de-Arcaya, Leire Orue-Echevarria, Juncal Alonso, Jesus L. Lobo, Gorka Benguria, Iñaki Etxaniz:
PIACERE project: description and prototype for optimizing infrastructure as code deployment configurations. 71-72 - Nixon K. Ronoh, Edna Milgo, Ambrose K. Kiprop, Bernard Manderick, Ann Nowé:
Natural gradient evolution strategies for adaptive sampling. 73-74 - Sohei Yamakawa, Keiko Ono, Erina Makihara, Daisuke Tawara, Shoma Yakushijin, Naoya Ikushima:
Textonmap optimization for spine segmentation using adaptive differential evolution. 75-76
POSTER SESSION: Ant colony optimization and swarm intelligence
- Cong Bao, Qiang Yang, Xu-Dong Gao, Zhenyu Lu, Jun Zhang:
Ant colony optimization with shortest distance biased dispatch for visiting constrained multiple traveling salesmen problem. 77-80 - Stephen Chen, Shanshan Lao, Irene Moser:
Particle swarm optimization with average-fitness based selection. 81-84 - Alberto Ortega, Juan José Escobar, Miguel Damas, Andrés Ortiz, Jesús González:
Ant colony optimization for feature selection via a filter-randomized search heuristic. 85-88 - Guofang Wang, Xiao Zhang, Wang Yao, Lu Ren:
Cooperative attack-defense evolution of large-scale agents: a multi-population high-dimensional mean-field game approach. 89-92 - Ye-Qun Wang, Chun-Hua Chen, Jun Zhang, Zhi-Hui Zhan:
Dropout topology-assisted bidirectional learning particle swarm optimization for neural architecture search. 93-96 - Xun Zhou, Hongwei Chen, Dewei Shi:
A chaotic parallel antlion optimization algorithm for feature selection. 97-99
POSTER SESSION: Complex systems (artificial life, artificial immune systems, generative and developmental systems, evolutionary robotics evolvable hardware)
- Nicolas Cambier, Eliseo Ferrante:
AutoMoDe-pomodoro: an evolutionary class of modular designs. 100-103 - Q. Tyrell Davis, Josh C. Bongard:
Selecting continuous life-like cellular automata for halting unpredictability: evolving for abiogenesis. 104-107 - Caitlin Grasso, Josh C. Bongard:
Empowered neural cellular automata. 108-111 - Jörn Hoffmann, Clemens Fritzsch, Martin Bogdan:
CoBEA: framework for evolving hardware by direct manipulation of FPGA bitstreams. 112-115 - Tanja Katharina Kaiser, Heiko Hamann:
Minimize surprise MAP-elites: a task-independent MAP-elites variant for swarms. 116-119 - Emiel M. W. Kempen, Ágoston E. Eiben:
Evolving robot bodies with a sense of direction. 120-123 - Adam Klejda, Maciej Komosinski, Agnieszka Mensfelt:
Diversification techniques and distance measures in evolutionary design of 3D structures. 124-127 - Bryan Lim, Maxime Allard, Luca Grillotti, Antoine Cully:
QDax: on the benefits of massive parallelization for quality-diversity. 128-131 - Junxiu Liu, Jufang Dai, Min Su, Shunsheng Zhang, Yifan Hua, Yanhu Wang, Haiping Shu:
De-redundancy in a random boolean network using knockout. 132-135 - Dries Marzougui, Matthijs Biondina, Francis Wyffels:
A comparative analysis on genome pleiotropy for evolved soft robots. 136-139 - Martín Naya-Varela, Andrés Faiña, Richard J. Duro:
Growth-based morphological development: a natural approach to fitness landscape shaping. 140-143 - Brandon Gower-Winter, Geoff Nitschke:
Do harsher environments cause selfish or altruistic behavior? 144-147 - Sidney Pontes-Filho, Kathryn Walker, Elias Najarro, Stefano Nichele, Sebastian Risi:
A single neural cellular automaton for body-brain co-evolution. 148-151 - Mostafa Rizk, Julian Garcia, Aldeida Aleti, David Green:
Using evolutionary game theory to understand scalability in task allocation. 152-155 - Achkan Salehi, Alexandre Coninx, Stéphane Doncieux:
Geodesics, non-linearities and the archive of novelty search. 156-159 - Yuji Sato, Yoshihisa Murakawa:
Comparison of evolutionary multi-objective optimization algorithms using imitation game. 160-163 - Frank Veenstra, Martin Herring Olsen, Kyrre Glette:
Effects of encodings and quality-diversity on evolving 2D virtual creatures. 164-167
POSTER SESSION: Evolutionary combinatorial optimization and metaheuristics
- Utku Umur Acikalin, Bugra Çaskurlu:
Multilevel memetic hypergraph partitioning with greedy recombination. 168-171 - Aldeida Aleti, Mark Wallace, Markus Wagner:
Neighbours similar fitness and the effectiveness of restarting local search. 172-175 - Miroslaw Blocho, Tomasz Jastrzab, Jakub Nalepa:
Cooperative co-evolutionary memetic algorithm for pickup and delivery problem with time windows. 176-179 - Xiang-Ling Chen, Zhi-Xuan Zhang, Ming-Can Geng, Wei-Neng Chen:
Multi-workflow scheduling in industrial edge: a genetic algorithm with heuristic strategy. 180-183 - Marcos Diez García, Mayowa Ayodele, Alberto Moraglio:
Exact and sequential penalty weights in quadratic unconstrained binary optimisation with a digital annealer. 184-187 - Mohamed El Yafrani, Marcella Scoczynski Ribeiro Martins, Myriam R. B. S. Delgado, Ricardo Lüders, Peter Nielsen, Markus Wagner:
On the fitness landscapes of interdependency models in the travelling thief problem. 188-191 - Thomas Feutrier, Nadarajen Veerapen, Marie-Eléonore Kessaci:
Exploiting landscape features for fitness prediction in university timetabling. 192-195 - Amir Nasiri, Ed Keedwell, Raphaël Dorne, Mathias Kern, Gilbert Owusu:
A hyper-heuristic approach for the PDPTW. 196-199 - Franciszek Seredynski, Tomasz Kulpa, Rolf Hoffmann:
Towards evolutionary self-optimization of large multi-agent systems. 200-203 - Ailing Shen, Juan Lin, Yiwen Zhong:
External archive hybrid genetic algorithm for unequal area facility layout problem. 204-207 - Ning Xu, Tian-Ming Bu:
Policy network for solving flexible job shop scheduling problem with setup times and rescoure constraints. 208-211
POSTER SESSION: Evolutionary machine learning
- Ayhan Alp Aydeniz, Anna Nickelson, Kagan Tumer:
Entropy-based local fitnesses for evolutionary multiagent systems. 212-215 - Francisco Baeta, João Correia, Tiago Martins, Penousal Machado:
TGPGAN: towards expression-based generative adversarial networks. 216-219 - Israel Campero-Jurado, Joaquin Vanschoren:
Multi-fidelity optimization method with asynchronous generalized island model for AutoML. 220-223 - Leonardo Lucio Custode, Giovanni Iacca:
Interpretable pipelines with evolutionary optimized modules for reinforcement learning tasks with visual inputs. 224-227 - Taco de Wolff, Hugo Carrillo Lincopi, Luis Martí, Nayat Sánchez-Pi:
MOPINNs: an evolutionary multi-objective approach to physics-informed neural networks. 228-231 - Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
Particle swarm optimisation for sparsity-based feature selection in multi-label classification. 232-235 - Gaurav Dixit, Kagan Tumer:
Balancing teams with quality-diversity for heterogeneous multiagent coordination. 236-239 - Wojciech Dudzik, Jakub Nalepa, Michal Kawulok:
Cascades of evolutionary support vector machines. 240-243 - Iztok Fister Jr., Iztok Fister:
On stochastic evolving algorithms. 244-247 - Michael Heider, Helena Stegherr, Jonathan Wurth, Roman Sraj, Jörg Hähner:
Separating rule discovery and global solution composition in a learning classifier system. 248-251 - Daniel Kostrzewa, Michal Ciszynski, Robert Brzeski:
Evolvable hybrid ensembles for musical genre classification. 252-255 - Hoang Lam Le, Ferrante Neri, Dario Landa-Silva, Isaac Triguero:
Accelerated pattern search with variable solution size for simultaneous instance selection and generation. 256-259 - Zi-Xing Li, Xiao-Qi Guo, Wei-Neng Chen, Xiao-Min Hu:
A distributed particle swarm optimization algorithm for distributed clustering. 260-263 - Jiabin Lin, Qi Chen, Bing Xue, Mengjie Zhang:
Multi-task optimisation for multi-objective feature selection in classification. 264-267 - Zheping Liu, Andy Song, Nasser R. Sabar:
KDE-GAN: enhancing evolutionary GAN with knowledge distillation and transfer learning. 268-271 - Sasha Abramowitz, Geoff Nitschke:
Scalable evolutionary hierarchical reinforcement learning. 272-275 - Patryk Orzechowski, Pawel Renc, William G. La Cava, Jason H. Moore, Arkadiusz Sitek, Jaroslaw Was, Joost Wagenaar:
A comparative study of GP-based and state-of-the-art classifiers on a synthetic machine learning benchmark. 276-279 - Golden Rockefeller, Kagan Tumer:
Bootstrapped fitness critics with bidirectional temporal difference. 280-283 - Rihab Said, Maha Elarbi, Slim Bechikh, Carlos A. Coello Coello, Lamjed Ben Said:
Cost-sensitive classification tree induction as a bi-level optimization problem. 284-287 - Jack D. Saunders, Alex Alves Freitas:
GA-auto-PU: a genetic algorithm-based automated machine learning system for positive-unlabeled learning. 288-291 - Nadiya Shvai, Arcadi Llanza, Abul Hasnat, Amir Nakib:
DEvS: data distillation algorithm based on evolution strategy. 292-295 - Sammuel Ramos da Silva, Jadson Castro Gertrudes:
Chaotic genetic bee colony: combining chaos theory and genetic bee algorithm for feature selection in microarray cancer classification. 296-299 - Moshe Sipper:
Binary and multinomial classification through evolutionary symbolic regression. 300-303 - Wei Sun, Qianmu Li, Pengchuan Wang, Jun Hou:
Evolving convolutional neural networks for intrusion detection system using hybrid multi-strategy aquila optimizer. 304-307 - Yujin Tang, Yingtao Tian, David Ha:
EvoJAX: hardware-accelerated neuroevolution. 308-311 - Abhiram Tirumala, Rishi Bhatnager, Sriram Mudireddy, Pranav Manjunath, Jason Zutty:
Designing a novel and high performance algorithmic trading model using evolutionary AutoML and technical analysis. 312-315 - Jonathan Wurth, Michael Heider, Helena Stegherr, Roman Sraj, Jörg Hähner:
Comparing different metaheuristics for model selection in a supervised learning classifier system. 316-319 - Mariia Zameshina, Olivier Teytaud, Fabien Teytaud, Vlad Hosu, Nathanaël Carraz Rakotonirina, Laurent Najman, Markus Wagner:
Fairness in generative modeling: do it unsupervised! 320-323
POSTER SESSION: Evolutionary multiobjective optimization
- Tobias Benecke, Sanaz Mostaghim:
Estimating the quality of initial populations in multi-objective evolutionary algorithms. 324-327 - Susanne Dandl, Florian Pfisterer, Bernd Bischl:
Multi-objective counterfactual fairness. 328-331 - Felipe Honjo Ide, Hernán E. Aguirre, Minami Miyakawa, Darrell Whitley:
Exploring the decision and objective space of SAT constrained multi-objective problems. 332-335 - Stanislaw Kozdrowski, Kacper Wnuk:
Application of nature inspired algorithms to multi-objective optimization of new generation network problem. 336-339 - Claudio Lucio do Val Lopes, Flávio Vinícius Cruzeiro Martins, Elizabeth F. Wanner, Kalyanmoy Deb:
A computationally fast but approximate MIP-DoM calculation for multi-objective optimization. 340-343 - Ons Maâtouk, Emna Ayari, Hend Bouziri, Wassim Ayadi:
BOBEA: a bi-objective biclustering evolutionary algorithm for genome-wide association analysis. 344-347 - Jesús-Adolfo Mejía-de-Dios, Alejandro Rodríguez-Molina, Efrén Mezura-Montes:
A novel evolutionary framework based on a family concept for solving multi-objective bilevel optimization problems. 348-351 - Nisrine Mouhrim, Sergiy Smetana, Anita Bhatia, Alexander Mathys, Ashley Green, Daniela Peguero, Alberto Tonda:
Towards multi-objective optimization of sustainable insect production chains. 352-355 - Jeroen Rook, Heike Trautmann, Jakob Bossek, Christian Grimme:
On the potential of automated algorithm configuration on multi-modal multi-objective optimization problems. 356-359 - Ayaz Ur Rehman, Anas Nadeem, Muhammad Zubair Malik:
Fair feature subset selection using multiobjective genetic algorithm. 360-363 - Dominik Weikert, Christoph Steup, Sanaz Mostaghim:
Surrogate models for IoT task allocation optimization. 364-366 - Erling Wisløff, Marius Aarsnes, Kazi Shah Nawaz Ripon, Pauline C. Haddow:
Extending the push and pull search framework with boundary search for constrained multi-objective optimization. 367-370 - Yuhei Yamaya, Yan Pei:
An analysis on effectiveness of estimated convergence points for enhancement of multi-objective optimization algorithms. 371-374 - Weiqin Ying, Yanqi Lan, Yu Wu, Xuanda Pan, Banban Huang, Jianyi Peng:
A constraint cone decomposition evolutionary algorithm with dual populations. 375-378 - Sizhe Yuen, Thomas H. G. Ezard, Adam J. Sobey:
The effect of epigenetic blocking on dynamic multi-objective optimisation problems. 379-382 - Haotian Zhang, Jialong Shi, Jianyong Sun, Zongben Xu:
Learning to balance exploration and exploitation in pareto local search for multi-objective combinatorial optimization. 383-386