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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 )share record
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Edgar Covantes Osuna , Dirk Sudholt : Runtime Analysis of Restricted Tournament Selection for Bimodal Optimisation. Evol. Comput. 30 (1 ) : 1-26 (2022 )share record
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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 )share record
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Naoki Sakamoto , Youhei Akimoto : Adaptive Ranking-Based Constraint Handling for Explicitly Constrained Black-Box Optimization. Evol. Comput. 30 (4 ) : 503-529 (2022 )share record
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Claudia N. Sánchez , Mario Graff : Selection Heuristics on Semantic Genetic Programming for Classification Problems. Evol. Comput. 30 (2 ) : 253-289 (2022 )export record
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journals/ec/SoltanianEA22 share record
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Khabat Soltanian , Ali Ebnenasir , Mohsen Afsharchi : Modular Grammatical Evolution for the Generation of Artificial Neural Networks. Evol. Comput. 30 (2 ) : 291-327 (2022 )share record
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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 )share record
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Patrick Spettel , Zehao Ba , Dirk V. Arnold : Active Sets for Explicitly Constrained Evolutionary Optimization. Evol. Comput. 30 (4 ) : 531-553 (2022 )share record
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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 export record
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journals/ec/Al-SahafAXZ21 share record
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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 )share record
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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 )share record
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Nathan Buskulic , Carola Doerr : Maximizing Drift Is Not Optimal for Solving OneMax. Evol. Comput. 29 (4 ) : 521-541 (2021 )share record
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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 )share record
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Benjamin Doerr : Lower Bounds for Non-Elitist Evolutionary Algorithms via Negative Multiplicative Drift. Evol. Comput. 29 (2 ) : 305-329 (2021 )share record
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Benjamin Doerr , Martin S. Krejca : The Univariate Marginal Distribution Algorithm Copes Well with Deception and Epistasis. Evol. Comput. 29 (4 ) : 543-563 (2021 )share record
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Fabrício Olivetti de França , Guilherme Seidyo Imai Aldeia : Interaction-Transformation Evolutionary Algorithm for Symbolic Regression. Evol. Comput. 29 (3 ) : 367-390 (2021 )share record
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Wanru Gao , Samadhi Nallaperuma , Frank Neumann : Feature-Based Diversity Optimization for Problem Instance Classification. Evol. Comput. 29 (1 ) : 107-128 (2021 )share record
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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 )share record
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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 )share record
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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 )export record
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journals/ec/NygaardMHTG21 share record
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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 )export record
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journals/ec/PapavasileiouCJ21 share record
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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 )share record
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Chao Qian : Multiobjective Evolutionary Algorithms Are Still Good: Maximizing Monotone Approximately Submodular Minus Modular Functions. Evol. Comput. 29 (4 ) : 463-490 (2021 )export record
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journals/ec/VirgolinAWB21 share record
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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 )share record
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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 )share record
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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 )share record
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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 )share record
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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 )2020 share record
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Youhei Akimoto , Nikolaus Hansen : Diagonal Acceleration for Covariance Matrix Adaptation Evolution Strategies. Evol. Comput. 28 (3 ) : 405-435 (2020 )share record
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Hans-Georg Beyer : Errata: Convergence Analysis of Evolutionary Algorithms That Are Based on the Paradigm of Information Geometry. Evol. Comput. 28 (4 ) : 709-710 (2020 )