- Abdullah Konak, Sadan Kulturel-Konak:
Regret-Based Nash Equilibrium Sorting Genetic Algorithm for Combinatorial Game Theory Problems with Multiple Players. Evol. Comput. 30(3): 447-478 (2022) - Gabriel Kronberger, Fabrício Olivetti de França, Bogdan Burlacu, Christian Haider, Michael Kommenda:
Shape-Constrained Symbolic Regression - Improving Extrapolation with Prior Knowledge. Evol. Comput. 30(1): 75-98 (2022) - Yuri Cossich Lavinas, Marcelo Ladeira, Claus Aranha:
Faster Convergence in Multiobjective Optimization Algorithms Based on Decomposition. Evol. Comput. 30(3): 355-380 (2022) - Fernando G. Lobo, Mosab Bazargani:
When Hillclimbers Beat Genetic Algorithms in Multimodal Optimization. Evol. Comput. 30(4): 535-559 (2022) - S. C. Maree, Tanja Alderliesten, Peter A. N. Bosman:
Uncrowded Hypervolume-Based Multiobjective Optimization with Gene-Pool Optimal Mixing. Evol. Comput. 30(3): 329-353 (2022) - Edgar Covantes Osuna, Dirk Sudholt:
Runtime Analysis of Restricted Tournament Selection for Bimodal Optimisation. Evol. Comput. 30(1): 1-26 (2022) - Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
High-Dimensional Unbalanced Binary Classification by Genetic Programming with Multi-Criterion Fitness Evaluation and Selection. Evol. Comput. 30(1): 99-129 (2022) - Naoki Sakamoto, Youhei Akimoto:
Adaptive Ranking-Based Constraint Handling for Explicitly Constrained Black-Box Optimization. Evol. Comput. 30(4): 503-529 (2022) - Claudia N. Sánchez, Mario Graff:
Selection Heuristics on Semantic Genetic Programming for Classification Problems. Evol. Comput. 30(2): 253-289 (2022) - Khabat Soltanian, Ali Ebnenasir, Mohsen Afsharchi:
Modular Grammatical Evolution for the Generation of Artificial Neural Networks. Evol. Comput. 30(2): 291-327 (2022) - Léo Françoso Dal Piccol Sotto, Franz Rothlauf, Vinícius Veloso de Melo, Márcio P. Basgalupp:
An Analysis of the Influence of Noneffective Instructions in Linear Genetic Programming. Evol. Comput. 30(1): 51-74 (2022) - Patrick Spettel, Zehao Ba, Dirk V. Arnold:
Active Sets for Explicitly Constrained Evolutionary Optimization. Evol. Comput. 30(4): 531-553 (2022) - Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer:
Transfer Learning Based Co-Surrogate Assisted Evolutionary Bi-Objective Optimization for Objectives with Non-Uniform Evaluation Times. Evol. Comput. 30(2): 221-251 (2022) - 2021
- Harith Al-Sahaf, Ausama Al-Sahaf, Bing Xue, Mengjie Zhang:
Automatically Evolving Texture Image Descriptors Using the Multitree Representation in Genetic Programming Using Few Instances. Evol. Comput. 29(3): 331-366 (2021) - Anton Bouter, Tanja Alderliesten, Peter A. N. Bosman:
Achieving Highly Scalable Evolutionary Real-Valued Optimization by Exploiting Partial Evaluations. Evol. Comput. 29(1): 129-155 (2021) - Nathan Buskulic, Carola Doerr:
Maximizing Drift Is Not Optimal for Solving OneMax. Evol. Comput. 29(4): 521-541 (2021) - Lei Chen, Kalyanmoy Deb, Hai-Lin Liu, Qingfu Zhang:
Effect of Objective Normalization and Penalty Parameter on Penalty Boundary Intersection Decomposition-Based Evolutionary Many-Objective Optimization Algorithms. Evol. Comput. 29(1): 157-186 (2021) - Benjamin Doerr:
Lower Bounds for Non-Elitist Evolutionary Algorithms via Negative Multiplicative Drift. Evol. Comput. 29(2): 305-329 (2021) - Benjamin Doerr, Martin S. Krejca:
The Univariate Marginal Distribution Algorithm Copes Well with Deception and Epistasis. Evol. Comput. 29(4): 543-563 (2021) - Fabrício Olivetti de França, Guilherme Seidyo Imai Aldeia:
Interaction-Transformation Evolutionary Algorithm for Symbolic Regression. Evol. Comput. 29(3): 367-390 (2021) - Wanru Gao, Samadhi Nallaperuma, Frank Neumann:
Feature-Based Diversity Optimization for Problem Instance Classification. Evol. Comput. 29(1): 107-128 (2021) - Hoang Thanh Le, Philine Geser, Martin Middendorf:
Iterated Local Search and Other Algorithms for Buffered Two-Machine Permutation Flow Shops with Constant Processing Times on One Machine. Evol. Comput. 29(3): 415-439 (2021) - Ruochen Liu, Jianxia Li, Yaochu Jin, Licheng Jiao:
A Self-Adaptive Response Strategy for Dynamic Multiobjective Evolutionary Optimization Based on Objective Space Decomposition. Evol. Comput. 29(4): 491-519 (2021) - Ruochen Liu, Ruinan Wang, Renyu Bian, Jing Liu, Licheng Jiao:
A Decomposition-Based Evolutionary Algorithm with Correlative Selection Mechanism for Many-Objective Optimization. Evol. Comput. 29(2): 269-304 (2021) - Tønnes F. Nygaard, Charles P. Martin, David Howard, Jim Tørresen, Kyrre Glette:
Environmental Adaptation of Robot Morphology and Control Through Real-World Evolution. Evol. Comput. 29(4): 441-461 (2021) - Evgenia Papavasileiou, Jan Cornelis, Bart Jansen:
A Systematic Literature Review of the Successors of "NeuroEvolution of Augmenting Topologies". Evol. Comput. 29(1): 1-73 (2021) - Chao Qian:
Multiobjective Evolutionary Algorithms Are Still Good: Maximizing Monotone Approximately Submodular Minus Modular Functions. Evol. Comput. 29(4): 463-490 (2021) - Marco Virgolin, Tanja Alderliesten, Cees Witteveen, Peter A. N. Bosman:
Improving Model-Based Genetic Programming for Symbolic Regression of Small Expressions. Evol. Comput. 29(2): 211-237 (2021) - Pak-Kan Wong, Man-Leung Wong, Kwong-Sak Leung:
Probabilistic Contextual and Structural Dependencies Learning in Grammar-Based Genetic Programming. Evol. Comput. 29(2): 239-268 (2021) - Binzi Xu, Yi Mei, Yan Wang, Zhicheng Ji, Mengjie Zhang:
Genetic Programming with Delayed Routing for Multiobjective Dynamic Flexible Job Shop Scheduling. Evol. Comput. 29(1): 75-105 (2021)