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.

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

Different meta-heuristic optimization techniques for feature selection

[OLD] Moe is a C++14 header-only dependency-free library providing generic implementations of some metaheuristic algorithms

ABC+PSO Path Planning

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

Cloud task scheduling optimization in CloudSim framework using heuristic and metaheuristic algorithms

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

A library for automatically designing metaheuristic optimizers.

Genetic and evolutionary algorithms in Javascript.

Large neighbourhood solver for the multi-depot split-delivery vehicle routing problem with inventory constraints and heterogeneous fleet.

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.

The Traveling Salesman Problem with Pickups, Deliveries and Draft Limits

OptiML's contribution to the EURO meets NeurIPS 2022 vehicle routing competition.

A collection of nature-inspired metaheuristic algorithms.

Implementation of Late Acceptance Hill Climbing (lahc) algorithm