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.

This toolbox offers advanced feature selection tools. Several modifications, variants, enhancements, or improvements of algorithms such as GWO, FPA, SCA, PSO and SSA are provided.

Joint Task Offloading and Radio Resource Management in Stochastic MEC Systems, IEEE Transactions on Communications, 2024

Application of Whale Optimization Algorithm (WOA) in the feature selection tasks.

IntelELM: A Python Framework for Intelligent Metaheuristic-based Extreme Learning Machine

MetaCluster: An Open-Source Python Library for Metaheuristic-based Clustering Problems

MetaPerceptron: A Standardized Framework For Metaheuristic-Driven Multi-layer Perceptron Optimization

EO-CNN: An Enhanced CNN Model Trained by Equilibrium Optimization for Traffic Transportation Prediction

EvoRBF: A Nature-inspired Algorithmic Framework for Evolving Radial Basis Function Networks

Meta-Heuristic Algorithm for Travelling Salesman Problem

reflame: Revolutionizing Functional Link Neural Network by Metaheuristic Optimization

GrafoRVFL: A Gradient-Free Optimization Framework for Boosting Random Vector Functional Link Network

No description provided.

MNSWOA: A nondominated-sorting-based whale optimization algorithm for feature selection.

Adaptive Beta Hill Climbing Aided Whale Optimization Algorithm (AdBet-WOA)

Julia implementations of various animal-inspired optimizers

simple WOA (Whale Optimization Algorithm) implementation

The Whale Optimization Algorithm in Java

Python3 framework for comparative study of recent metaheuristics

simple implementation of portfolio optimization using WOA

WaveletML: A Scalable and Extensible Wavelet Neural Network Framework

Website for classification Leaf after complete model by Whae optimization algorithm

Interpretation of Black-Box Model with Counterfactual with Whale optimization and Genetic Algorithm

This project presents an improvement on WOA for classification of grape leaf disease. The Whale Optimization Algorithm (WOA) was presented by Mirjalili and Levis [8] in 2016

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

Project for a 4 months internship

Melanoma Image Classification using ANN, Whale Optimization Algorithm, and Digital Image Processing