Harris-Hawks-Optimization-Algorithm-and-Applications

Harris-Hawks-Optimization-Algorithm-and-Applications

aliasgharheidaricom

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.

63 Stars
11 Forks
63 Watchers
MATLAB Language
mit License
Cost to Build
$567.3K
Market Value
$1.27M

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13 data points  ·  2021-08-01 → 2025-09-01
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What is the aliasgharheidaricom/Harris-Hawks-Optimization-Algorithm-and-Applications GitHub project? Description: "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.". Written in MATLAB. Explain what it does, its main use cases, key features, and who would benefit from using it.

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