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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Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριος συγγραφέας:	GU Qinghua, LUO Jiale, LI Xuexian
Μορφή:	Artigo
Γλώσσα:	Chinês
Έκδοση:	Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2024-02-01
Σειρά:	Jisuanji kexue yu tansuo
Θέματα:	evolutionary algorithm; many-objective optimization; vector angle selection; indicator deletion; conver-gence; diversity
Διαθέσιμο Online:	http://fcst.ceaj.org/fileup/1673-9418/PDF/2208111.pdf
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