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)

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

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

Julia implementations of various animal-inspired optimizers

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

simple WOA (Whale Optimization Algorithm) implementation

simple implementation of portfolio optimization using WOA

Parallel WOAmM is a GPU implementation of the WOAmM metaheuristic optimization algorithm in CUDA.