A New Repair Operator for Multi-objective Evolutionary Algorithm in Constrained Optimization Problems

A New Repair Operator for Multi-objective Evolutionary Algorithm in Constrained Optimization Problems

In this paper, we design a set of multi-objective constrained optimization problems (MCOPs) and propose a new repair operator to address them. The proposed repair operator is used to fix the solutions that violate the box constraints. More specifically, it employs a reversed correction strategy that...

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Veröffentlicht in:arXiv.org 2015-04
Hauptverfasser: Fan, Zhun, Li, Wenji, Cai, Xinye, Lin, Huibiao, Xie, Shuxiang, Goodman, Erik
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Sprache:eng
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Design optimization
Evolutionary algorithms
Multiple objective analysis
Optimization algorithms
Repair
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Li, Wenji
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Lin, Huibiao
Xie, Shuxiang
Goodman, Erik
description In this paper, we design a set of multi-objective constrained optimization problems (MCOPs) and propose a new repair operator to address them. The proposed repair operator is used to fix the solutions that violate the box constraints. More specifically, it employs a reversed correction strategy that can effectively avoid the population falling into local optimum. In addition, we integrate the proposed repair operator into two classical multi-objective evolutionary algorithms MOEA/D and NSGA-II. The proposed repair operator is compared with other two kinds of commonly used repair operators on benchmark problems CTPs and MCOPs. The experiment results demonstrate that our proposed approach is very effective in terms of convergence and diversity.
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subjects Design optimization
Evolutionary algorithms
Multiple objective analysis
Optimization algorithms
Repair
title A New Repair Operator for Multi-objective Evolutionary Algorithm in Constrained Optimization Problems
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