harris-hawks-optimization 开源项目推荐（21 个）

thieu1995 /mealpy

Python中最先进的Metaheuristic算法的集合（Metaheuristic/Optimizer/Nature-inspired/Biology）

thieu1995 /metaheuristics

Implement the-state-of-the-art meta-heuristic algorithms using python (numpy)

JingweiToo /Wrapper-Feature-Selection-Toolbox-Python

This toolbox offers 13 wrapper feature selection methods (PSO, GA, GWO, HHO, BA, WOA, and etc.) with examples. It is simple and easy to implement.

JingweiToo /Wrapper-Feature-Selection-Toolbox

This toolbox offers more than 40 wrapper feature selection methods include PSO, GA, DE, ACO, GSA, and etc. They are simple and easy to implement.

thieu1995 /mafese

Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python

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.

AbdelazimHussien /MetaheuristicsAlgorithms.jl

This is a collection of Metaheuristics Algorithms written in Julia

cahitberkay /Harris-Hawks-Optimization-HHO---Python-Code

Harris Hawks Optimization (HHO) - Python Code

thieu1995 /MHA-FS

The biggest module developed with complete focus on Feature Selection (FS) using Meta-Heuristic Algorithm / Nature-inspired evolutionary / Swarm-based computing.

JingweiToo /Binary-Harris-Hawk-Optimization-for-Feature-Selection

The binary version of Harris Hawk Optimization (HHO), called Binary Harris Hawk Optimization (BHHO) is applied for feature selection tasks.

Reza-Rezvan /LSTM_HHO

An LSTM model optimized with Harris Hawks Optimization (HHO) for customizable time series forecasting using your own dataset

erickre12 /An-efficient-Harris-hawks-inspired-image-segmentation-method-MCET-HHO-

Multilevel thresholding segmentation method

chasebk /code_OCRO_MLNN

Efficient Time-series Forecasting using Neural Network and Opposition-based Coral Reefs Optimization

biad-iritie /Naive_Bayes-with-RKDE_HHO

Proposing a novel approach on using Naives Bayes by using Robust Kernel Density Estimation (RKDE) and optimising the bandwith(h) with Harris Hawks Optimization (HHO)

jedediahfanuel /hho-cvrp

Penerapan Harris Hawks Optimization Pada Capacitated Vehicle Routing Problem

OmarAlmighty /Image-Steganography

Matlab implementation of the article: A secure data hiding approach based on least-significant-bit and nature-inspired optimization techniques

ElkmanY /hho

This repository contains the Harris Hawks Optimization code (matlab M-file) for optimizing the benchmark function.

Huseyin-Eryilmaz /algorithm-arena

Metaheuristic optimization algorithms racing live on benchmark functions — 6 optimizers, animated contour plots, user-defined objective functions (safe sympy parsing), and Wilcoxon-based statistical comparison.

MahediBuilds /anfis-chhho-replication

Controlled replication of chaos-enhanced ANFIS (ANFIS-ChHHO) for stock forecasting: leak-free protocol, 1,800 runs, naive/OLS/LSTM baselines, significance tests

Huseyin-Eryilmaz /AW-GWO-HHO-Energy-Optimization

Hybrid Grey Wolf–Harris Hawks metaheuristic optimization algorithm (undergraduate graduation project) — validated on CEC2017 benchmarks and applied to real-world smart energy management scheduling using NASA POWER & EPİAS data.