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October 1 2024
Tail Bounds on the Runtime of Categorical Compact Genetic Algorithm
Ryoki Hamano, Kento Uchida, Shinichi Shirakawa, Daiki Morinaga, Youhei Akimoto
Evolutionary Computation (2024)
View articletitled, Tail Bounds on the Runtime of Categorical Compact Genetic Algorithm
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September 24 2024
Optimizing Monotone Chance-Constrained Submodular Functions Using Evolutionary Multi-Objective Algorithms
Aneta Neumann, Frank Neumann
Evolutionary Computation (2024)
View articletitled, Optimizing Monotone Chance-Constrained Submodular Functions Using Evolutionary Multi-Objective Algorithms
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September 19 2024
Genetic Programming for Automatically Evolving Multiple Features to Classification
Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang
Evolutionary Computation (2024)
View articletitled, Genetic Programming for Automatically Evolving Multiple Features to Classification
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August 22 2024
Evolutionary Sparsity Regularisation-based Feature Selection for Binary Classification
Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
Evolutionary Computation (2024)
View articletitled, Evolutionary Sparsity Regularisation-based Feature Selection for Binary Classification
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August 14 2024
Landscape Analysis for Surrogate Models in the Evolutionary Black-Box Context
Zbyněk Pitra, Jan Koza, Jiří Tumpach, Martin Holeňa
Evolutionary Computation (2024)
View articletitled, Landscape Analysis for Surrogate Models in the Evolutionary Black-Box Context
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August 2 2024
Runtime Analysis of Single- and Multi-Objective Evolutionary Algorithms for Chance Constrained Optimization Problems with Normally Distributed Random Variables
Frank Neumann, Carsten Witt
Evolutionary Computation (2024)
View articletitled, Runtime Analysis of Single- and Multi-Objective Evolutionary Algorithms for Chance Constrained Optimization Problems with Normally Distributed Random Variables
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August 2 2024
Using Machine Learning Methods to Assess Module Performance Contribution in Modular Optimization Frameworks
Ana Kostovska, Diederick Vermetten, Peter Korošec, Sašo Džeroski, Carola Doerr ...
Evolutionary Computation (2024)
View articletitled, Using Machine Learning Methods to Assess Module Performance Contribution in Modular Optimization Frameworks
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June 18 2024
Hyperparameter Control Using Fuzzy Logic: Evolving Policies for Adaptive Fuzzy Particle Swarm Optimization Algorithm
Nicolas Roy, Charlotte Beauthier, Alexandre Mayer
Evolutionary Computation (2024)
View articletitled, Hyperparameter Control Using Fuzzy Logic: Evolving Policies for Adaptive Fuzzy Particle Swarm Optimization Algorithm
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June 18 2024
Large-Scale Multiobjective Evolutionary Algorithm Guided by Low-Dimensional Surrogates of Scalarization Functions
Haoran Gu, Handing Wang, Cheng He, Bo Yuan, Yaochu Jin
Evolutionary Computation (2024)
View articletitled, Large-Scale Multiobjective Evolutionary Algorithm Guided by Low-Dimensional Surrogates of Scalarization Functions
Supplementary data
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September 5 2024
BUSTLE: A Versatile Tool for the Evolutionary Learning of STL Specifications from Data
Federico Pigozzi, Laura Nenzi, Eric Medvet
Evolutionary Computation (2024)
View articletitled, BUSTLE: A Versatile Tool for the Evolutionary Learning of STL Specifications from Data
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August 5 2024
Drift Analysis with Fitness Levels for Elitist Evolutionary Algorithms
Jun He, Yuren Zhou
Evolutionary Computation (2024)
View articletitled, Drift Analysis with Fitness Levels for Elitist Evolutionary Algorithms
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August 5 2024
OneMax Is Not the Easiest Function for Fitness Improvements
Marc Kaufmann, Maxime Larcher, Johannes Lengler, Xun Zou
Evolutionary Computation (2024)
View articletitled, OneMax Is Not the Easiest Function for Fitness Improvements
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August 5 2024
Synthesising Diverse and Discriminatory Sets of Instances Using Novelty Search in Combinatorial Domains
Alejandro Marrero, Eduardo Segredo, Coromoto León, Emma Hart
Evolutionary Computation (2024)
View articletitled, Synthesising Diverse and Discriminatory Sets of Instances Using Novelty Search in Combinatorial Domains
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August 5 2024
A Layered Learning Approach to Scaling in Learning Classifier Systems for Boolean Problems
Isidro M. Alvarez, Trung B. Nguyen, Will N. Browne, Mengjie Zhang
Evolutionary Computation (2024)
View articletitled, A Layered Learning Approach to Scaling in Learning Classifier Systems for Boolean Problems
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August 5 2024
Virtual Position Guided Strategy for Particle Swarm Optimization Algorithms on Multimodal Problems
Chao Li, Jun Sun, Li-Wei Li, Min Shan, Vasile Palade ...
Evolutionary Computation (2024)
View articletitled, Virtual Position Guided Strategy for Particle Swarm Optimization Algorithms on Multimodal Problems
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June 27 2024
Territorial Differential Meta-Evolution: An Algorithm for Seeking All the Desirable Optima of a Multivariable Function
Richard Wehr, Scott R. Saleska
Evolutionary Computation (2024)
View articletitled, Territorial Differential Meta-Evolution: An Algorithm for Seeking All the Desirable Optima of a Multivariable Function
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June 27 2024
Parameterless Gene-Pool Optimal Mixing Evolutionary Algorithms
Arkadiy Dushatskiy, Marco Virgolin, Anton Bouter, Dirk Thierens, Peter A. N. Bosman
Evolutionary Computation (2024)
View articletitled, Parameterless Gene-Pool Optimal Mixing Evolutionary Algorithms
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March 22 2024
Estimation of Distribution Algorithm for Grammar-Guided Genetic Programming
Pablo Ramos Criado, D. Barrios Rolanía, David de la Hoz, Daniel Manrique
Evolutionary Computation (2024)
View articletitled, Estimation of Distribution Algorithm for Grammar-Guided Genetic Programming
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March 22 2024
Informed Down-Sampled Lexicase Selection: Identifying Productive Training Cases for Efficient Problem Solving
Ryan Boldi, Martin Briesch, Dominik Sobania, Alexander Lalejini, Thomas Helmuth ...
Evolutionary Computation (2024)
View articletitled, Informed Down-Sampled Lexicase Selection: Identifying Productive Training Cases for Efficient Problem Solving
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  • Online ISSN 1530-9304
  • Print ISSN 1063-6560
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