while the “Hippopotamus Optimization Algorithm” section covers the HO approach introduced, modelled, and HO's limitations. The “Simulation results and comparison” section presents simulation results and com
Hippopotamus Optimization Algorithm (HO) (https://www.mathworks.com/matlabcentral/fileexchange/160088-hippopotamus-optimization-algorithm-ho), MATLAB Central File Exchange. 검색 날짜: 2025/6/4. Amiri, Mohammad Hussein, et al. “Hippopotamus Optimization Algorithm: a Novel Nature-Inspired...
This paper utilizes the swarm-elite learning mechanism's Levy flight and Quadratic interpolation strategies to enhance the optimization performance of the Hippopotamus Optimization algorithm (HO) in both the exploration and exploitation stages. The proposed algorithm is referred to as LQHO. The aim of...
In addition, the feature selection process has been executed by the hippopotamus optimization (HO) algorithm. Besides, the proposed HOFS-ADRDVAE model designs a variational autoencoder (VAE) technique for the classification procedure. At last, the Hunger Games search (HGS) algorithm-based hy...
Additionally, it integrates key mechanisms from the Hippopotamus Optimization (HO) to strengthen the algorithm's exploitation potential by leveraging surrounding knowledge for more effective position updates while also improving the balance between global and local search processes. The EBOA was...
In order to solve these problems, this paper proposes a modified hippopotamus optimization algorithm (MHO) to enhance the convergence speed and solution accuracy of the HO algorithm by introducing a sine chaotic map to initialize the population, changing the convergence factor in the growth mechanism...
In order to solve these problems, this paper proposes a modified hippopotamus optimization algorithm (MHO) to enhance the convergence speed and solution accuracy of the HO algorithm by introducing a sine chaotic map to initialize the population, changing the convergence factor in the growth mechanism...
In order to solve these problems, this paper proposes a modified hippopotamus optimization algorithm (MHO) to enhance the convergence speed and solution accuracy of the HO algorithm by introducing a sine chaotic map to initialize the population, changing the convergence factor in the growth mechanism...
In order to solve these problems, this paper proposes a modified hippopotamus optimization algorithm (MHO) to enhance the convergence speed and solution accuracy of the HO algorithm by introducing a sine chaotic map to initialize the population, changing the convergence factor in the growth mechanism...
The hippopotamus optimization algorithm (HO) is a novel metaheuristic algo- rithm that solves optimization problems by simulating the behavior of hippopotamuses. However, the traditional HO algorithm may encounter performance degradation and fall into local optima when dealing with complex global ...