27 Open source projects that are alternatives of or similar to adaptive-large-neighbourhood-search

Solving a TSP with the CPLEX C++ API.

Python implementation of QBSO-FS : a Reinforcement Learning based Bee Swarm Optimization metaheuristic for Feature Selection problem.

Evolutionary algorithms library for the web 🧬

Genetic Algorithm for Flow Shop Scheduling

Artificial Bee Colony Algorithm in Python.

Some usefull info when reverse engineering Kernel Mode Anti-Cheat

pymhlib - A Toolbox for Metaheuristics and Hybrid Optimization Methods

An R package for multi/many-objective optimization with non-dominated genetic algorithms' family

A metaheuristic optimization framework

An implementation of various metaheuristics adapted to train neural networks

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

A Solver for the Wavelength Assignment Problem (RWA) in WDM networks

A C++ monorepo for discrete and continuous optimization. Batteries included!

Some lecture notes of Operations Research (usually taught in Junior year of BS) can be found in this repository along with some Python programming codes to solve numerous problems of Optimization including Travelling Salesman, Minimum Spanning Tree and so on.

Derivative-Free Optimization Method for Global Optimization (C++)

No description or website provided.

A python library with implementations of 15 classical heuristics for the capacitated vehicle routing problem.

Genetics (Initialization, Selection, Crossover, Mutation)

OptaPlanner quick starts for AI optimization: many use cases shown in many different technologies.

Source codes for HHO paper: Harris hawks optimization: Algorithm and applications: https://www.sciencedirect.com/science/article/pii/S0167739X18313530. In this paper, a novel population-based, nature-inspired optimization paradigm is proposed, which is called Harris Hawks Optimizer (HHO).

A Generic Distributed Auto-Tuning Infrastructure

An evolutionary computation framework to (automatically) build fast parallel stochastic optimization solvers

My latex notes on whatever I'm studying. All are available to the public, but please take them with a grain of salt and notify me in case of errors :)

A collection of algorithms for the (Resource) Constrained Shortest Path problem in Python / C++ / C#

A very simple Genetic Algorithm implementation for matlab, easy to use, easy to modify runs fast.

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

Solving VRPTW with metaheuristics