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The Importance of Being Constrained: Dealing with Infeasible Solutions in Differential Evolution and Beyond

Evolutionary computation, 2024-03, Vol.32 (1), p.3-48

2024

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A New Cost Function for Evolution of S-Boxes

Evolutionary computation, 2016-12, Vol.24 (4), p.695-718

2016

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Analyzing the BBOB Results by Means of Benchmarking Concepts

Evolutionary computation, 2015-01, Vol.23 (1), p.161-185

2015

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Mixed Integer Evolution Strategies for Parameter Optimization

Evolutionary computation, 2013-03, Vol.21 (1), p.29-64

2013

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Particle Swarm Optimization for Single Objective Continuous Space Problems: A Review

Evolutionary computation, 2017-03, Vol.25 (1), p.1-54

2017

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Improving Model-Based Genetic Programming for Symbolic Regression of Small Expressions

Evolutionary computation, 2021-06, Vol.29 (2), p.211-237

2021

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Automated Algorithm Selection on Continuous Black-Box Problems by Combining Exploratory Landscape Analysis and Machine Learning

Evolutionary computation, 2019-03, Vol.27 (1), p.99-127

2019

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Leveraging TSP Solver Complementarity through Machine Learning

Evolutionary computation, 2018-12, Vol.26 (4), p.597-620

2018

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Shape-Constrained Symbolic Regression—Improving Extrapolation with Prior Knowledge

Evolutionary computation, 2022-03, Vol.30 (1), p.75-98

2022

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A Meta-Objective Approach for Many-Objective Evolutionary Optimization

Evolutionary computation, 2020-03, Vol.28 (1), p.1-25

2020

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Open Issues in Evolutionary Robotics

Evolutionary computation, 2016-06, Vol.24 (2), p.205-236

2016

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Modular Grammatical Evolution for the Generation of Artificial Neural Networks

Evolutionary computation, 2022-06, Vol.30 (2), p.291-327

2022

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Pareto Front Estimation for Decision Making

Evolutionary computation, 2014-12, Vol.22 (4), p.651-678

2014

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Achieving Highly Scalable Evolutionary Real-Valued Optimization by Exploiting Partial Evaluations

Evolutionary computation, 2021-03, Vol.29 (1), p.129-155

2021

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Transfer Learning Based Co-Surrogate Assisted Evolutionary Bi-Objective Optimization for Objectives with Non-Uniform Evaluation Times

Evolutionary computation, 2022-06, Vol.30 (2), p.221-251

2022

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Approaching the Traveling Tournament Problem with Randomized Beam Search

Evolutionary computation, 2023-09, Vol.31 (3), p.233-257

2023

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Cooperative Coevolution with Formula-Based Variable Grouping for Large-Scale Global Optimization

Evolutionary computation, 2018, Vol.26 (4), p.569-596

2018

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VSD-MOEA: A Dominance-Based Multiobjective Evolutionary Algorithm with Explicit Variable Space Diversity Management

Evolutionary computation, 2022-06, Vol.30 (2), p.195-219

2022

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Maximizing Submodular Functions under Matroid Constraints by Evolutionary Algorithms

Evolutionary computation, 2015-12, Vol.23 (4), p.543-558

2015

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Problem Features versus Algorithm Performance on Rugged Multiobjective Combinatorial Fitness Landscapes

Evolutionary computation, 2017-12, Vol.25 (4), p.555-585

2017

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Guiding Neuroevolution with Structural Objectives

Evolutionary computation, 2020, Vol.28 (1), p.115-140

2020

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Iterated Local Search and Other Algorithms for Buffered Two-Machine Permutation Flow Shops with Constant Processing Times on One Machine

Evolutionary computation, 2021-09, Vol.29 (3), p.415-439

2021

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Memetic Algorithms for Continuous Optimisation Based on Local Search Chains

Evolutionary computation, 2010, Vol.18 (1), p.27-63

2010

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Objective Reduction in Evolutionary Multiobjective Optimization: Theory and Applications

Evolutionary computation, 2009-06, Vol.17 (2), p.135-166

2009

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A Graph-Based Framework for Structured Prediction Tasks in Sanskrit

Computational linguistics - Association for Computational Linguistics, 2021-02, Vol.46 (4), p.785-845

2021

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The Importance of Being Constrained: Dealing with Infeasible Solutions in Differential Evolution and Beyond

A New Cost Function for Evolution of S-Boxes

Analyzing the BBOB Results by Means of Benchmarking Concepts

Mixed Integer Evolution Strategies for Parameter Optimization

Particle Swarm Optimization for Single Objective Continuous Space Problems: A Review

Improving Model-Based Genetic Programming for Symbolic Regression of Small Expressions

Automated Algorithm Selection on Continuous Black-Box Problems by Combining Exploratory Landscape Analysis and Machine Learning

Leveraging TSP Solver Complementarity through Machine Learning

Shape-Constrained Symbolic Regression—Improving Extrapolation with Prior Knowledge

A Meta-Objective Approach for Many-Objective Evolutionary Optimization

Open Issues in Evolutionary Robotics

Modular Grammatical Evolution for the Generation of Artificial Neural Networks

Pareto Front Estimation for Decision Making

Achieving Highly Scalable Evolutionary Real-Valued Optimization by Exploiting Partial Evaluations

Transfer Learning Based Co-Surrogate Assisted Evolutionary Bi-Objective Optimization for Objectives with Non-Uniform Evaluation Times

Approaching the Traveling Tournament Problem with Randomized Beam Search

Cooperative Coevolution with Formula-Based Variable Grouping for Large-Scale Global Optimization

VSD-MOEA: A Dominance-Based Multiobjective Evolutionary Algorithm with Explicit Variable Space Diversity Management

Maximizing Submodular Functions under Matroid Constraints by Evolutionary Algorithms

Problem Features versus Algorithm Performance on Rugged Multiobjective Combinatorial Fitness Landscapes

Guiding Neuroevolution with Structural Objectives

Iterated Local Search and Other Algorithms for Buffered Two-Machine Permutation Flow Shops with Constant Processing Times on One Machine

Memetic Algorithms for Continuous Optimisation Based on Local Search Chains

Objective Reduction in Evolutionary Multiobjective Optimization: Theory and Applications

A Graph-Based Framework for Structured Prediction Tasks in Sanskrit

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