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

🎯 A comprehensive gradient-free optimization framework written in Python

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

Parallel Tabu Search and Genetic Algorithm for the Job Shop Schedule Problem with Sequence Dependent Set Up Times

Vehicle Routing Problem solved using Ant Colony System, Greedy and Tabu Search algorithms

OptFrame - Optimization Framework

A solution for Vehicle Routing Problem (VRP) in Java with heuristic algorithms and Tabu search

Metaheuristics / Blackbox Optimization Algorithms for Go: Simulated Annealing, Genetic Algorithm, Ant Colony Optimization, Tabu Search, Particle Swarm Optimization ...

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

Heuristic global optimization algorithms in Python

C++ metaheuristics modeler/solver for general integer optimization problems.

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

This is my implementation of a branch and price algorithm to solve the humanitarian aid distribution problem. This problem is a VRP with a specific objective function

Python implementation of Tabu Search (TB), Genetic Algorithm (GA), and Simulated Annealing (SA) solving Travelling Salesman Problem (TSP). Term project of Intelligent Optimization Methods, UCAS course 070105M05002H. 禁忌搜索, 遗传算法, 模拟退火解旅行商问题的Python实现. 中国科学院大学现代智能优化方法大作业.

A Tabu Search pseudo-parallel algorithm for the Vehicle Routing Problem

A metaheuristic optimization framework

Solving Knapsack 0/1 problem with various Local Search algorithms like Hill Climbing, Genetic Algorithms, Simulated Annealing, Tabu Search

Java Constraint Solvers for Vehicle Routing Problem (VRP)

Annealing Simulation and Taboo Search Algorithms and Traveling Salesman Problem (C#)

Python program for aggregation and reaction