Timefold's commercial offering, enhancing Timefold Solver Community Edition with additional features. Timefold is the successor of OptaPlanner, by the OptaPlanner team. Optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems

The open source AI solver. Timefold is the successor of OptaPlanner, by the OptaPlanner team. Optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems

PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants. https://pypop.rtfd.io/

Repository of shared bibtex files (references)

Python code writing ground

MetaPerceptron: Unleashing the Power of Metaheuristic-optimized Multi-Layer Perceptron - A Python Library

Derivative-Free Global Optimization Method (C++, Python binding)

Python bindings for OptFrame C++ Functional Core

OptFrame - Optimization Framework

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

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

jMetal: a framework for multi-objective optimization with metaheuristics

This repository is related to the following article entitled "A hybrid deep-learning-metaheuristic framework for bi-level network design problems" Madadi and Correia (2023). For theory and methodology details, please refer to the article here: https://doi.org/10.48550/arXiv.2303.06024

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

A genetic algorithm metaheuristic to find the best sequence of arithmetic operations on a given set of integer numbers to get as close as possible to the target value.

MHLib.jl - A Toolbox for Metaheuristics and Hybrid Optimization Methods in Julia

(ancient german = improving, rearranging, rendering benign)

Video Here: https://www.youtube.com/watch?v=yeqVSh1_8Hk Here are the C Codes that implement an experimental Firefly synchronization metaheuristic on ATMEL chips (ATtiny85 and ATmega) for use in demonstrating, on hardware, the quantum-like, neuromorphic behavior that emerges in systems of optically coupled oscillators. The PCB board used for the ATtiny85 chiptest is available for download here: https://oshpark.com/shared_projects/d4Sdp6CL

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

Flexible and modular framework for different NP-Problems with different solvers

Target generation system for autonomous exploration of mobile robots in unknown indoor environments.

Implementation of metaheuristic optimization methods in Python for scientific, industrial, and educational scenarios. Experiments can be executed in parallel or in a distributed fashion. Experimental results can be evaluated in various ways, including diagrams, tables, and export to Excel.

Applications of Metaheuristic Optimization in Python

A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)

Random Search Algorithm for Basin Function Problem (BFP)

JuMP wrapper for NASA PySA (ft QUBODrivers.jl)

Rust Optimization Framework

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

Customising optimisation metaheuristics via hyper-heuristic search (CUSTOMHyS). This framework provides tools for solving, but not limited to, continuous optimisation problems using a hyper-heuristic approach for customising metaheuristics. Such an approach is powered by a strategy based on Simulated Annealing. Also, several search operators serve as building blocks for tailoring metaheuristics. They were extracted from ten well-known metaheuristics in the literature.

Framework for designing, testing and evaluating metaheuristic optimization algorithms.