Helper and equivalent objective different evolution for constrained optimisation

Tao Xu, Jun He, Changjing Shang

Research output: Contribution to conferencePaperpeer-review

3 Citations (SciVal)

Abstract

A novel multiobjective evolutionary algorithm is proposed for constrained optimisation in this paper. It transforms a constrained optimisation problem into a two objective optimisation problem. One objective is equivalent to solving the original constrained problem, and the other is the degree of constraint violation which only plays a helper role. This multiobjective problem is decomposed into several single objective optimisation problems using a dynamical weighted sum approach. Each single objective eventually tends to an equivalent objective. A decomposition-based multiobjective optimisation differential evolution algorithm is designed for solving these single objective problems simultaneously.
Original languageEnglish
Pages9-10
Number of pages2
DOIs
Publication statusPublished - 13 Jul 2019
EventProceedings of the Genetic and Evolutionary Computation Conference Companion -
Duration: 13 Jul 201917 Jul 2019

Conference

ConferenceProceedings of the Genetic and Evolutionary Computation Conference Companion
Period13 Jul 201917 Jul 2019

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