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

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

Search over large image datasets with natural language and computer vision!

A modern Zola theme with search, multilingual support, optional JavaScript, a perfect Lighthouse score, and a focus on accessibility.

A curated list of amazingly awesome local seo resources.

Solving VRPTW with metaheuristics

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

Amazing Collection Vehicle Routing Problem

Functions, examples and data from the first and the second edition of "Numerical Methods and Optimization in Finance" by M. Gilli, D. Maringer and E. Schumann (2019, ISBN:978-0128150658). This repository mirrors https://gitlab.com/NMOF/NMOF .

Solver for Capacitance Vehicle Routing Problem - School bus routing problem with bus stop selection

A C# Library to aid programming for meta-heuristics

A metaheuristic optimization framework

A Julia package to manage Constraint-Based Local Search (CBLS) solvers.

Java Constraint Solvers for Vehicle Routing Problem (VRP)

The research work on Vehicle Routing Problem (VRP) solving via Artifical Bee colony algorithm

Python/Numba implemenation of of Lin-Kernighan-style TSP solver

A Greedy Randomized Adaptive Search Procedure (GRASP) for the Traveling Salesman Problem (TSP)

🌱 Genetic Algorithm, Memetic Algorithms, GRASP, Simulated Annealing, Multi start search, Reiterated Local Search, Local Search, Greedy and randomized Greedy

This repository contains algorithms in C++ to solve the Capacitated Vehicle Routing Problem (cvrp).

This is a n-queen problem solver using local search algorithms.