GitHub topics: moth-flame-optimization
ADNANE-RBT/metaheuristics
This project implements two nature-inspired optimization algorithms: Moth Flame Optimization (MFO) and Honey Badger Optimization (HBO). Both algorithms are designed to solve complex optimization problems by mimicking behaviors observed in nature. also it includes a path finding algorithm, A-star
Language: Python - Size: 10.8 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
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.
Language: MATLAB - Size: 157 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 130 - Forks: 33
