There are 1 repository under harris-hawks-optimization topic.
A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)
Implement the-state-of-the-art meta-heuristic algorithms using python (numpy)
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.
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.
Harris Hawks Optimization (HHO) - Python Code
The binary version of Harris Hawk Optimization (HHO), called Binary Harris Hawk Optimization (BHHO) is applied for feature selection tasks.
Multilevel thresholding segmentation method
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)
Efficient Time-series Forecasting using Neural Network and Opposition-based Coral Reefs Optimization
Penerapan Harris Hawks Optimization Pada Capacitated Vehicle Routing Problem
Matlab implementation of the article: A secure data hiding approach based on least-significant-bit and nature-inspired optimization techniques