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Publication search results
found 19 matches
- 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) - Anil Yaman, Giovanni Iacca, Decebal Constantin Mocanu, Matt Coler, George Fletcher, Mykola Pechenizkiy:
Evolving Plasticity for Autonomous Learning under Changing Environmental Conditions. Evol. Comput. 29(3): 391-414 (2021) - William B. Yates, Edward C. Keedwell:
Offline Learning with a Selection Hyper-Heuristic: An Application to Water Distribution Network Optimisation. Evol. Comput. 29(2): 187-210 (2021)
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