Differential evolution and its variants have already proven their worth in the field of evolutionary optimization techniques. This study further enhances the success history-based …
Y Zhang, X Zhou, PC Shih - Arabian Journal for Science and Engineering, 2020 - Springer
The Harris hawks optimization algorithm (HHO) is a novel swarm-based meta-heuristic algorithm. In this study, a modified Harris hawks optimization algorithm (MHHO) is proposed …
I Naruei, F Keynia - Engineering with computers, 2022 - Springer
Nowadays, the design of optimization algorithms is very popular to solve problems in various scientific fields. The optimization algorithms usually inspired by the natural …
M Abdel-Basset, R Mohamed, M Zidan… - Computer Methods in …, 2023 - Elsevier
This study presents a new nature-inspired optimization algorithm, namely the Mantis Search Algorithm (MSA), inspired by the unique hunting behavior and sexual cannibalism of praying …
B Ma, Y Hu, P Lu, Y Liu - Journal of Computational Design and …, 2023 - academic.oup.com
As science and technology improve, more and more complex global optimization difficulties arise in real-life situations. Finding the most perfect approximation and optimal solution …
A novel metaheuristic algorithm for global optimization, called the Solar System Algorithm (SSA), is presented. The proposed algorithm imitates the orbiting behavior of some objects …
Abstract Classical Harris Hawks optimiser (HHO) algorithm has a notable approach for global optimization. However, for constrained engineering optimization problems it is easily …
S Zhao, T Zhang, S Ma, M Wang - Applied Intelligence, 2023 - Springer
This paper proposes a novel swarm intelligence-based metaheuristic called as sea-horse optimizer (SHO), which is inspired by the movement, predation and breeding behaviors of …
One of the main issues with heuristics and meta-heuristics is the local optima stagnation phenomena. It is often called premature convergence, which refers to the assumption of a …