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

Due to increased search complexity in multi-objective optimization, premature convergence becomes a problem. Complex engineering problems poses high number of variables with many constraints. Hence, more difficult benchmark problems must be utilized to validate new algorithms performance. A well-kno...

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Bibliographic Details

Main Authors:	Mohd Zain, Mohamad Zihin, Kanesan, Jeevan, Chuah, Joon Huang, Dhanapal, Saroja, Kendall, Graham
Format:	Article
Published:	Elsevier 2018
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.um.edu.my/21228/ https://doi.org/10.1016/j.asoc.2018.06.022
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