To read this content please select one of the options below:

Coalition of metaheuristics through parallel computing for solving unconstrained continuous optimization problems

Mümin Emre Şenol (Department of Industrial Engineering, Faculty of Engineering, Dokuz Eylül University, Izmir, Turkey)
Adil Baykasoğlu (Department of Industrial Engineering, Faculty of Engineering, Dokuz Eylül University, Izmir, Turkey)

Engineering Computations

ISSN: 0264-4401

Article publication date: 17 June 2022

Issue publication date: 23 August 2022

169

Abstract

Purpose

The purpose of this study is to develop a new parallel metaheuristic algorithm for solving unconstrained continuous optimization problems.

Design/methodology/approach

The proposed method brings several metaheuristic algorithms together to form a coalition under Weighted Superposition Attraction-Repulsion Algorithm (WSAR) in a parallel computing environment. The proposed approach runs different single solution based metaheuristic algorithms in parallel and employs WSAR (which is a recently developed and proposed swarm intelligence based optimizer) as controller.

Findings

The proposed approach is tested against the latest well-known unconstrained continuous optimization problems (CEC2020). The obtained results are compared with some other optimization algorithms. The results of the comparison prove the efficiency of the proposed method.

Originality/value

This study aims to combine different metaheuristic algorithms in order to provide a satisfactory performance on solving the optimization problems by benefiting their diverse characteristics. In addition, the run time is shortened by parallel execution. The proposed approach can be applied to any type of optimization problems by its problem-independent structure.

Keywords

Acknowledgements

Conflict of interest: The authors declare that they have no conflict of interest.

Citation

Şenol, M.E. and Baykasoğlu, A. (2022), "Coalition of metaheuristics through parallel computing for solving unconstrained continuous optimization problems", Engineering Computations, Vol. 39 No. 8, pp. 2895-2927. https://doi.org/10.1108/EC-10-2021-0612

Publisher

:

Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

Related articles