Improved marine predators algorithm for engineering design optimization problems

The Marine Predator Algorithm (MPA) has unique advantages as an important branch of population-based algorithms. However, it emerges more disadvantages gradually, such as traps to local optima, insufficient diversity, and premature convergence, when dealing with complex problems in practical industr...

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Bibliographic Details
Published in:	Scientific reports Vol. 14; no. 1; pp. 13000 - 23
Main Authors:	Chun, Ye, Hua, Xu, Qi, Chen, Yao, Ye Xin
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 06.06.2024 Nature Publishing Group Nature Portfolio
Subjects:	639/166 639/705 Algorithms Complex industrial engineering design problems Design engineering Design optimization Humanities and Social Sciences Improved marine predators algorithm Industrial engineering Marine ecosystems multidisciplinary Objective function Predators Science Science (multidisciplinary) Self-adaptive weight Social discrimination learning Social strategy Social strategy Improved marine predators algorithm Self-adaptive weight Complex industrial engineering design problems
ISSN:	2045-2322, 2045-2322
Online Access:	Get full text
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