Many-Objective Evolutionary Algorithm with Vector Angle Selection and Indicator Deletion

Many-Objective Evolutionary Algorithm with Vector Angle Selection and Indicator Deletion

Given that the challenge for evolutionary algorithms when solving many-objective optimization problems lies in balancing the convergence and diversity, a many-objective evolutionary algorithm based on vector angle selection and indicator deletion (MOEA/AS-ID), is proposed. In this algorithm, a coord...

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Bibliografiske detaljer
Hovedforfatter: GU Qinghua, LUO Jiale, LI Xuexian
Format: Article
Sprog:zho
Udgivet: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2024-02-01
Serier:Jisuanji kexue yu tansuo
Fag:
evolutionary algorithm; many-objective optimization; vector angle selection; indicator deletion; conver-gence; diversity
Online adgang:http://fcst.ceaj.org/fileup/1673-9418/PDF/2208111.pdf

Internet

http://fcst.ceaj.org/fileup/1673-9418/PDF/2208111.pdf

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