MHO: A Modified Hippopotamus Optimization Algorithm for Global Optimization and Engineering Design Problems

Biomimetics, Год журнала: 2025, Номер 10(2), С. 90 - 90

Опубликована: Фев. 5, 2025

The hippopotamus optimization algorithm (HO) is a novel metaheuristic that solves problems by simulating the behavior of hippopotamuses. However, traditional HO may encounter performance degradation and fall into local optima when dealing with complex global engineering design problems. In order to solve these problems, this paper proposes modified (MHO) enhance convergence speed solution accuracy introducing sine chaotic map initialize population, changing factor in growth mechanism, incorporating small-hole imaging reverse learning strategy. MHO tested on 23 benchmark functions successfully three According experimental data, obtains optimal 13 exits optimum faster, has better ordering stability than other nine metaheuristics. This study algorithm, which offers fresh insights practical parameter optimization.

Язык: Английский

An improved multi-objective honey badger algorithm based on global searching strategy

The Journal of Supercomputing, Год журнала: 2025, Номер 81(5)

Опубликована: Апрель 3, 2025

Язык: Английский