View in EDS

Modified Remora Optimization Algorithm with Multistrategies for Global Optimization Problem

Saved in:
Bibliographic Details
Title: Modified Remora Optimization Algorithm with Multistrategies for Global Optimization Problem
Authors: Changsheng Wen, Heming Jia, Di Wu, Honghua Rao, Shanglong Li, Qingxin Liu, Laith Abualigah
Source: Mathematics ; Volume 10 ; Issue 19 ; Pages: 3604
Publisher Information: Multidisciplinary Digital Publishing Institute
Publication Year: 2022
Collection: MDPI Open Access Publishing
Subject Terms: remora optimization algorithm, host-switching mechanism, joint opposite selection, restart strategy, benchmark function test, classic engineering problem
Description: 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.
Document Type: text
File Description: application/pdf
Language: English
Relation: C2: Dynamical Systems; https://dx.doi.org/10.3390/math10193604
DOI: 10.3390/math10193604
Availability: https://doi.org/10.3390/math10193604
Rights: https://creativecommons.org/licenses/by/4.0/
Accession Number: edsbas.BB462B9
Database: BASE
Be the first to leave a comment!
You must be logged in first