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

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

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

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.

The Traveling Salesman Problem with Pickups, Deliveries and Draft Limits

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.

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

A collection of nature-inspired metaheuristic algorithms.

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

Implementation of Late Acceptance Hill Climbing (lahc) algorithm