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ORCIDEvolutionary Computation, Volume 29
Volume 29, Number 1, Spring 2021
- Evgenia Papavasileiou
, Jan Cornelis, Bart Jansen:
A Systematic Literature Review of the Successors of "NeuroEvolution of Augmenting Topologies". 1-73 - Binzi Xu, Yi Mei, Yan Wang, Zhicheng Ji, Mengjie Zhang:
Genetic Programming with Delayed Routing for Multiobjective Dynamic Flexible Job Shop Scheduling. 75-105 - Wanru Gao, Samadhi Nallaperuma, Frank Neumann:
Feature-Based Diversity Optimization for Problem Instance Classification. 107-128 - Anton Bouter, Tanja Alderliesten, Peter A. N. Bosman:
Achieving Highly Scalable Evolutionary Real-Valued Optimization by Exploiting Partial Evaluations. 129-155 - 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. 157-186
Volume 29, Number 2, Summer 2021
- William B. Yates, Edward C. Keedwell:
Offline Learning with a Selection Hyper-Heuristic: An Application to Water Distribution Network Optimisation. 187-210 - Marco Virgolin, Tanja Alderliesten, Cees Witteveen, Peter A. N. Bosman:
Improving Model-Based Genetic Programming for Symbolic Regression of Small Expressions. 211-237 - Pak-Kan Wong, Man-Leung Wong, Kwong-Sak Leung:
Probabilistic Contextual and Structural Dependencies Learning in Grammar-Based Genetic Programming. 239-268 - Ruochen Liu, Ruinan Wang, Renyu Bian, Jing Liu, Licheng Jiao:
A Decomposition-Based Evolutionary Algorithm with Correlative Selection Mechanism for Many-Objective Optimization. 269-304 - Benjamin Doerr:
Lower Bounds for Non-Elitist Evolutionary Algorithms via Negative Multiplicative Drift. 305-329
Volume 29, Number 3, Fall 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. 331-366 - Fabrício Olivetti de França, Guilherme Seidyo Imai Aldeia:
Interaction-Transformation Evolutionary Algorithm for Symbolic Regression. 367-390 - Anil Yaman, Giovanni Iacca, Decebal Constantin Mocanu, Matt Coler, George Fletcher, Mykola Pechenizkiy:
Evolving Plasticity for Autonomous Learning under Changing Environmental Conditions. 391-414 - 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. 415-439
Volume 29, Number 4, Winter 2021
- Tønnes F. Nygaard, Charles P. Martin, David Howard, Jim Tørresen, Kyrre Glette:
Environmental Adaptation of Robot Morphology and Control Through Real-World Evolution. 441-461 - Chao Qian:
Multiobjective Evolutionary Algorithms Are Still Good: Maximizing Monotone Approximately Submodular Minus Modular Functions. 463-490 - Ruochen Liu, Jianxia Li, Yaochu Jin, Licheng Jiao:
A Self-Adaptive Response Strategy for Dynamic Multiobjective Evolutionary Optimization Based on Objective Space Decomposition. 491-519 - Nathan Buskulic, Carola Doerr:
Maximizing Drift Is Not Optimal for Solving OneMax. 521-541 - Benjamin Doerr, Martin S. Krejca:
The Univariate Marginal Distribution Algorithm Copes Well with Deception and Epistasis. 543-563
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