GitHub / aliasgharheidaricom / Harris-Hawks-Optimization-Algorithm-and-Applications
Harris Hawks Optimization (HHO) is a nature-inspired metaheuristic algorithm that simulates the cooperative hunting behavior of Harris' hawks. Widely used in engineering, machine learning, and resource allocation, HHO is renowned for its simplicity, versatility, and effectiveness in finding global optima.
Stars: 52
Forks: 12
Open issues: 0
License: mit
Language: MATLAB
Size: 2.99 MB
Dependencies parsed at: Pending
Created at: about 6 years ago
Updated at: 5 months ago
Pushed at: 5 months ago
Last synced at: 5 months ago
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Commits: 23
Authors: 1
Mean commits per author: 23.0
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Topics: artificial-intelligence, computer-science, engineering, evolutionary-algorithms, harris-hawks-optimization, hho, metaheuristic-algorithms, optimization, optimization-algorithms