AI constraint solver in Java to optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems.

jMetal: a framework for multi-objective optimization with metaheuristics

Jenetics - Genetic Algorithm, Genetic Programming, Grammatical Evolution, Evolutionary Algorithm, and Multi-objective Optimization

A Java library of Customizable, Hybridizable, Iterative, Parallel, Stochastic, and Self-Adaptive Local Search Algorithms

OptaPy is an AI constraint solver for Python to optimize planning and scheduling problems.

SEAGE (Search Agents) is a hyper-heuristic framework for metaheuristic collaboration.

Repository for the implementation of a solution to the Network Design Problem for a modified Two Echelon Vehicle Routing Problem

The source code examples for the book "An Introduction to Optimization Algorithms"

Generic implementation of genetic algorithm in Java.

Evolver is a tool based on the formulation of the automatic configuration and design of multi-objective metaheuristics as a multi-objective optimization problem.

A small implementation of three algos (simulated annealing, genetics and taboo) in Java using Jade agents

Study project - Evolutionary and metaheuristic algorithms. PUT Poznań 2019 - ITI

Repository for the implementation of a solution to the Capacitated Arc Routing Problem with Turn constraints, multiple curbs and limited capacity vehicles.

JCLEC-MO: a Java suite for solving multi- and many-objective optimization problems with metaheuristics

A Java implementation and visualization of the glowworm swarm optimization (GSO) algorithm invented by Krishnanand N. Kaipa and Debasish Ghose.

Proyecto Final "Inteligencia Artificial" ULL

Traveling Salesman Problem Framework