A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)
-
Updated
May 21, 2024 - Python
A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)
This repository implements several swarm optimization algorithms and visualizes them. Implemented algorithms: Particle Swarm Optimization (PSO), Firefly Algorithm (FA), Cuckoo Search (CS), Ant Colony Optimization (ACO), Artificial Bee Colony (ABC), Grey Wolf Optimizer (GWO) and Whale Optimization Algorithm (WOA)
The biggest module developed with complete focus on Feature Selection (FS) using Meta-Heuristic Algorithm / Nature-inspired evolutionary / Swarm-based computing.
(Code) A new workload prediction model using extreme learning machine and enhanced tug of war optimization
(Code IQSO-MLP) nQSV-Net: a novel queuing search variant for global space search and workload modeling
Efficient Time-series Forecasting using Neural Network and Opposition-based Coral Reefs Optimization
simple implementation of portfolio optimization using WOA
Add a description, image, and links to the whale-optimization topic page so that developers can more easily learn about it.
To associate your repository with the whale-optimization topic, visit your repo's landing page and select "manage topics."