Modified Remora Optimization Algorithm with Multistrategies for Global Optimization Problem

Changsheng Wen, Heming Jia (), Di Wu (), Honghua Rao, Shanglong Li, Qingxin Liu and Laith Abualigah
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Changsheng Wen: School of Information Engineering, Sanming University, Sanming 365004, China
Heming Jia: School of Information Engineering, Sanming University, Sanming 365004, China
Di Wu: School of Education and Music, Sanming University, Sanming 365004, China
Honghua Rao: School of Information Engineering, Sanming University, Sanming 365004, China
Shanglong Li: School of Information Engineering, Sanming University, Sanming 365004, China
Qingxin Liu: School of Computer Science and Technology, Hainan University, Haikou 570228, China
Laith Abualigah: Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman 19328, Jordan

Mathematics, 2022, vol. 10, issue 19, 1-36

Abstract: 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.

Keywords: remora optimization algorithm; host-switching mechanism; joint opposite selection; restart strategy; benchmark function test; classic engineering problem (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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