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Mar 1, 2023 · In this paper, to deal with such problems, a new evolutionary framework with multiple novel mechanisms is proposed.
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This book makes available a self-contained collection of modern research addressing the general constrained optimization problems using evolutionary algorithms.
In constrained optimization evolutionary algorithms (COEAs), constraint-handling technique is used to balance the objective function and constraints.
This paper presents an evolutionary algorithm that incorporates a multilevel pairing strategy to solve single and multiobjective optimization problems. The ...
Efficient implicit constraint handling approaches for constrained ...
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Feb 27, 2024 · To tackle real-world constrained optimization problems, the constraint handling technique (CHT) has been combined with an evolutionary algorithm ...
In this paper, we propose the use of a domain knowledge extracted during the search of an evolutionary algorithm to improve its performance in constrained ...
In this paper, an alternative approach for the constrained optimization problem is presented. The method is a variant of a multiobjective real coded genetic ...
Aug 28, 2015 · This book makes available a self-contained collection of modern research addressing the general constrained optimization problems using evolutionary algorithms.
Evolutionary algorithms for constrained parameter optimization ...
dl.acm.org › doi › evco.1996.4.1.1
Only recently have several methods been proposed for handling nonlinear constraints by evolutionary algorithms for numerical optimization problems.
The purpose of this work is to develop a gradient free constrained global optimization methodology to solve this type of problems. In the methodology proposed, ...