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Modified Remora Optimization Algorithm with Multistrategies for Global Optimization Problem

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Názov: Modified Remora Optimization Algorithm with Multistrategies for Global Optimization Problem
Autori: Changsheng Wen, Heming Jia, Di Wu, Honghua Rao, Shanglong Li, Qingxin Liu, Laith Abualigah
Zdroj: Mathematics ; Volume 10 ; Issue 19 ; Pages: 3604
Informácie o vydavateľovi: Multidisciplinary Digital Publishing Institute
Rok vydania: 2022
Zbierka: MDPI Open Access Publishing
Predmety: remora optimization algorithm, host-switching mechanism, joint opposite selection, restart strategy, benchmark function test, classic engineering problem
Popis: Remora Optimization Algorithm (ROA) is a metaheuristic optimization algorithm, proposed in 2021, which simulates the parasitic attachment, experiential attack, and host feeding behavior of remora in the ocean. However, the performance of ROA is not very good. Considering the habits of the remora that rely on the host to find food, and in order to improve the performance of the ROA, we designed a new host-switching mechanism. By adding new a host-switching mechanism, joint opposite selection, and restart strategy, a modified remora optimization algorithm (MROA) is proposed. We use 23 standard benchmark and CEC2020 functions to test the performance of MROA and compare them with eight state-of-art optimization algorithms. The experimental results show that MROA has better-optimized performance and robustness. Finally, the ability of MROA to solve practical problems is demonstrated by five classical engineering problems.
Druh dokumentu: text
Popis súboru: application/pdf
Jazyk: English
Relation: C2: Dynamical Systems; https://dx.doi.org/10.3390/math10193604
DOI: 10.3390/math10193604
Dostupnosť: https://doi.org/10.3390/math10193604
Rights: https://creativecommons.org/licenses/by/4.0/
Prístupové číslo: edsbas.BB462B9
Databáza: BASE
Popis
Abstrakt:Remora Optimization Algorithm (ROA) is a metaheuristic optimization algorithm, proposed in 2021, which simulates the parasitic attachment, experiential attack, and host feeding behavior of remora in the ocean. However, the performance of ROA is not very good. Considering the habits of the remora that rely on the host to find food, and in order to improve the performance of the ROA, we designed a new host-switching mechanism. By adding new a host-switching mechanism, joint opposite selection, and restart strategy, a modified remora optimization algorithm (MROA) is proposed. We use 23 standard benchmark and CEC2020 functions to test the performance of MROA and compare them with eight state-of-art optimization algorithms. The experimental results show that MROA has better-optimized performance and robustness. Finally, the ability of MROA to solve practical problems is demonstrated by five classical engineering problems.
DOI:10.3390/math10193604