Self-adaptive Equilibrium Optimizer for solving global, combinatorial, engineering, and Multi-Objective problems

This paper proposes a self-adaptive Equilibrium Optimizer (self-EO) to perform better global, combinatorial, engineering, and multi-objective optimization problems. The new self-EO algorithm integrates four effective exploring phases, which address the potential shortcomings of the original EO. We v...

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Bibliographic Details
Published in:	Expert systems with applications Vol. 195; p. 116552
Main Authors:	Houssein, Essam H., Çelik, Emre, Mahdy, Mohamed A., Ghoniem, Rania M.
Format:	Journal Article
Language:	English
Published:	New York Elsevier Ltd 01.06.2022 Elsevier BV
Subjects:	Algorithms Combinatorial analysis Combinatorial optimization problems Engineering design problems Enhanced Equilibrium Optimizer (self-EO) Equilibrium Optimizer Heuristic methods Metaheuristic algorithms (MAs) Multi-Objective self-EO (MO-self-EO) Multiple objective analysis Optimization Combinatorial optimization problems Engineering design problems Equilibrium Optimizer Enhanced Equilibrium Optimizer (self-EO) Metaheuristic algorithms (MAs) Multi-Objective self-EO (MO-self-EO)
ISSN:	0957-4174, 1873-6793
Online Access:	Get full text
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