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

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

jMetal: a framework for multi-objective optimization with metaheuristics

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

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

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

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

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

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

Example programs for usage of the Chips-n-Salsa library

Proyecto Final "Inteligencia Artificial" ULL

Generic implementation of genetic algorithm in Java.

Traveling Salesman Problem Framework

An implementation of different approaches to solve the satisfiability problem (SAT) using blind, heuristic and metaheuristic methods.

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.

A simple CLI application that solves the examination timetabling problem using meta heuristics

[university] Exploring various algorithms to approximately solve the single machine total weighted tardiness scheduling problem

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

Repositorio com os codigos da Iniciacao Cientifica.