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)

• UpdatedDec 16, 2020
• Python

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.

• UpdatedAug 16, 2023
• Python

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.

• UpdatedMar 4, 2021
• MATLAB

Nature Inspired Optimization Algorithms

• UpdatedFeb 13, 2023
• Python

Metaheuristic(Genetic algorithm, Particle swarm optimization, Cuckoo search, Grey wolf optimizer), Reinforcement Learning with Python

• UpdatedSep 8, 2021
• Python

Implemented fully documented Cuckoo Search Optimization algorithm via Levy Flights (basic model) using Python programming language

• UpdatedJul 2, 2022
• Python

Neuromorphic Project : Pattern Classification using Cuckoo Search Algorithm and Levy Flight Model

• UpdatedNov 24, 2017
• MATLAB

different algorithms to find population close to the optimal fitness, including genetic algorithm, differential evolution algorithm, PSO, firefly algorithm, cuckoo search algorithm and whale optimization algorithm in C++.

• UpdatedMar 5, 2020
• C++

Expandable Cuckoo hash map/set implementation in Go (Docs WIP)

• UpdatedMar 2, 2021
• Go

数据挖掘课程项目

• UpdatedFeb 19, 2019
• Jupyter Notebook

Implementation of IIR and FIR digial filter optimization using ABC, Cuckoo Search and Particle Search Algorithm

• UpdatedJul 30, 2017
• Java

The Repository dedicated to code and more for Swarm Intelligence furthermore.

• UpdatedMar 18, 2024
• Python

This repository contains 4 metaheuristic search algorithm for optimization

• UpdatedAug 4, 2020

Best solutions for Natural Computing 2023/2024

• UpdatedDec 25, 2023
• Jupyter Notebook

Solutions for Labs of Nature Inspired Computing course offered at Innopolis University

• UpdatedDec 13, 2022
• Jupyter Notebook

Solving different problems, using metaheuristic algorithms

• UpdatedAug 25, 2021
• Jupyter Notebook

This project aimed to implement three well-known meta-heuristic algorithms: cuckoo search (CS), bat algorithm (BA), and flower pollination algorithm (FPA). We found that three algorithms could have a promising performance generally. It might need more runs to be converged when training BA. The time cost of BA was the highest while the difference…

• UpdatedJun 30, 2021
• Python

This repository offers a movie recommendation system that uses Neural Collaborative Filtering and Non-negative Matrix Factorization (NNMF) for generating user-item matrices, combined with Cuckoo-Search and K-means clustering for optimization. The algorithm leverages collaborative filtering to make fast movie suggestions based on single preferences

• UpdatedNov 21, 2024
• Jupyter Notebook

Trabajo Final de la asignatura del Master Universitario en Inteligencia Artificial de la Universidad Politécnica de Madrid

• UpdatedJan 16, 2024
• Python

R implementation of "Engineering Optimisation by Cuckoo Search"

• UpdatedNov 6, 2016
• R