Adaptive large neighbourhood search (and more!) in Python.

Open-source, state-of-the-art vehicle routing problem solver in an easy-to-use Python package.

Tabu search and Genetic algorithm implementation for container loading problem (3D bin packing)

A Tabu Search algorithm for the Vehicle Routing Problem with Cross-Docking.

Different meta-heuristic optimization techniques for feature selection

A python metaheuristic optimization library. Currently supports Genetic Algorithms, Gravitational Search, Cross Entropy, and PBIL.

HGSADC is a metaheuristic to solve the multi-depot vehicle routing problem.

Based on our paper "Cervical Cytology Classification Using PCA & GWO Enhanced Deep Features Selection" published in SN Computer Science

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

In this project, I implemented with Python the solutions of the scheduling problem using different methods, the metaheuristic : genetic algorithm and secondly the dynamic programming.

This repository contains a Genetic Algorithm (GA) implementation for solving the Traveling Salesman Problem (TSP).

Code for OR Analysis of Complex Systems (Spring 2020).

Implementation of Late Acceptance Hill Climbing (lahc) algorithm

Swarming is a Python3 library that features both parallel and serial implementation of the Particle Swarm Optimization (PSO) algorithm.

Adaptive Multi-Population Optimization Algorithm

Repositorio con el Trabajo Final de Grado de Pedro Manuel Ramos Rodríguez sobre una aplicación para la validación estadística de metaheurísticas utilizadas para la optimización multi-objetivo

Tabu search for traveling salesman problem (TSP)

Open-Source Optimization Library - Extremum