Loser-out multi metaheuristic framework for multi-objective optimization

This paper proposes a multi metaheuristic framework consisting of four multi-objective optimization (MOO) algorithms in which they compete with each other along four phases to be surviving in the next phases. Likewise, it is assumed that number of phases is equal to the number of metaheuristics. The...

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Bibliographic Details
Main Authors: Jamshid Tamouk, Nasser Lotfi
Format: Article
Language:English
Published: Institute of Mathematics and Computer Science of the Academy of Sciences of Moldova 2020-12-01
Series:Computer Science Journal of Moldova
Subjects:
Online Access:http://www.math.md/files/csjm/v28-n3/v28-n3-(pp285-313).pdf