40 Open source projects that are alternatives of or similar to optapy

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

A metaheuristic optimization framework

Solving VRPTW with metaheuristics

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

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

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

Go (golang) bindings for Picosat, the satisfiability solver

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

Library for working with TSPLIB files.

A variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization problems.

Vehicle Routing Problem with Time Windows - Genetic Algorithm solution with Python

High-performance metaheuristics for optimization coded purely in Julia.

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

Julia package for simple traveling salesman problem heuristics

sopt:A simple python optimization library

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

Automile offers a simple, smart, cutting-edge telematics solution for businesses to track and manage their business vehicles.

Distances to sets for MathOptInterface

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

Automile offers a simple, smart, cutting-edge telematics solution for businesses to track and manage their business vehicles.

Simple MVR simulation

An Ant Colony Optimization algorithm for the Traveling Salesman Problem

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).

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

Experimental minisat SAT solver reimplementation in Rust

This repository contains implementation of different AI algorithms, based on the 4th edition of amazing AI Book, Artificial Intelligence A Modern Approach

A fun study of some heuristics for the Travelling Salesman Problem.

An implementation of VRPTW in CPLEX

Ant colony system (ACS) based algorithm for the dynamic vehicle routing problem with time windows (DVRPTW). For more details, see this paper "Necula, R., Breaban, M., & Raschip, M.: Tackling Dynamic Vehicle Routing Problem with Time Windows by means of ant colony system. CEC, (2017)" (https://ieeexplore.ieee.org/document/7969606)

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

OpenJij : Framework for the Ising model and QUBO.

Solving and GUI demonstration of traditional N-Queens Problem using Hill Climbing, Simulated Annealing, Local Beam Search, and Genetic Algorithm.

A sharing of the learning process of mathematical modeling 数学建模常用工具模型算法分享：数学建模竞赛优秀论文，数学建模常用算法模型，LaTeX论文模板，SPSS工具分享。

ALNS header-only library (loosely) based on the original implementation by Stefan Ropke.

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

Evolutionary algorithms library for the web 🧬

Artificial Bee Colony Algorithm in Python.

pymhlib - A Toolbox for Metaheuristics and Hybrid Optimization Methods

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

An implementation of various metaheuristics adapted to train neural networks