Modified Remora Optimization Algorithm with Multistrategies for Global Optimization Problem

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 ocean. However, performance ROA not very good. Considering habits that rely on to find food, order improve ROA, we designed new host-switching mechanism. By adding mechanism, joint opposite selection, restart strategy, modified algorithm (MROA) proposed. We use 23 standard benchmark CEC2020 functions test MROA compare them with eight state-of-art algorithms. The experimental results show has better-optimized robustness. Finally, ability solve practical problems demonstrated by five classical engineering problems.