A multi-objective particle swarm optimization algorithm based on dynamic boundary search for constrained optimization-Reference-Cited by-同舟云学术

A multi-objective particle swarm optimization algorithm based on dynamic boundary search for constrained optimization

Published:2018-09 Issue: Volume:70 Page:680-700
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Mohd Zain Mohamad Zihin bin,Kanesan Jeevan,Chuah Joon Huang^ORCID,Dhanapal Saroja^ORCID,Kendall Graham^ORCID

Funder

University of Malaya Research Grant

Publisher

Elsevier BV

Subject

Software

Reference29 articles.

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5. MOEA/D: a multiobjective evolutionary algorithm based on decomposition;Zhang;IEEE Trans. Evol. Comput.,2007

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