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Boosted binary Harris hawks optimizer and feature selection

Engineering with Computers, 2020
Feature selection is a required preprocess stage in most of the data mining tasks. This paper presents an improved Harris hawks optimization (HHO) to find high-quality solutions for global optimization and feature selection tasks. This method is an efficient optimizer inspired by the behaviors of Harris' hawks, which try to catch the rabbits.
Yanan Zhang   +4 more
openaire   +1 more source

Chaotic Harris Hawks Optimization for Unconstrained Function Optimization

2020 16th International Computer Engineering Conference (ICENCO), 2020
Swarm-based techniques, a form of meta-heuristic techniques, are derived from the swarm system's social conduct in nature. A newly brought optimization algorithm is Harris Hawks Optimization (HHO) that is stimulated through looking conduct of Harris Hawks (agents) of finding food (optimal solution).
Abdelhameed Ibrahim   +3 more
openaire   +1 more source

An improved Harris Hawks Optimization algorithm for continuous and discrete optimization problems

Engineering Applications of Artificial Intelligence, 2022
Harris Hawks Optimization (HHO) is a population-based meta-heuristic optimization algorithm that has been used for the solution of test functions and real-world problems by many researchers. However, HHO has a premature convergence problem. The main motive of the novel approach in this paper is that the performance of an MHA could be improved by ...
Harun Gezici, Haydar Livatyali
openaire   +2 more sources

Passive vehicle suspension system optimization using Harris Hawk Optimization algorithm

Mathematics and Computers in Simulation, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mohamed Issa, Anas Samn
openaire   +2 more sources

An improved Harris hawks optimizer for job-shop scheduling problem

Journal of Supercomputing, 2021
In this paper, we propose an improved Harris hawk optimizer (IHHO) to overcome the shortcomings of Harris hawk optimizer (HHO) that there is aimless search in the global search process. IHHO is different from HHO in that during the global search process, the position of the Harris hawks is not random but moves according to the position of the best ...
Chang Liu
exaly   +2 more sources

Modified Harris Hawks Optimization Algorithm for Global Optimization Problems

Arabian Journal for Science and Engineering, 2020
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 to enhance the searching performance of the conventional HHO. Past studies have revealed that different adjustment strategies of important variables in meta-heuristic algorithm ...
Yang Zhang, Xizhao Zhou, Po-Chou Shih
openaire   +1 more source

Improved Harris Hawks Optimization Algorithm

Concurrency and Computation: Practice and Experience
ABSTRACTThe Harris Hawks Optimization (HHO) algorithm is a nature‐inspired metaheuristic that mimics the cooperative hunting behavior of hawks. Despite its success in various optimization tasks, it suffers from several limitations, including low computational accuracy, a tendency to become trapped in local optima, and difficulty in balancing ...
Xiaopei Liu   +4 more
openaire   +1 more source

Application of Harris Hawks Optimization Technique for Optimal REDG Planning

2020 7th International Conference on Soft Computing & Machine Intelligence (ISCMI), 2020
Integration of renewable energy distribution generators (REDGs) into the existing power grid has become more popular due to the technical benefits. The optimal location and sizing of the REDGs, particularly the photovoltaic (PV) and wind turbines (WT), remains a challenge due to the stochastic nature of these energy sources.
K. Moloi, J. A. Jordaan, Y. Hamam
openaire   +1 more source

Harris Hawks Optimizer

2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture, 2021
Jingfeng Rong, Di Wang
openaire   +1 more source

An improved Harris Hawks optimizer combined with extremal optimization

International Journal of Machine Learning and Cybernetics, 2022
Hai-Lin Zhang 0004   +3 more
openaire   +1 more source

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