PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants (evolutionary algorithms/swarm-based optimizers/pattern search/...). [https://pypop.rtfd.io/]

The open source Solver AI for Java, Python and Kotlin to optimize scheduling and routing. Solve the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems.

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

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

Numerical Association Rule Mining using Population-Based Nature-Inspired Algorithms

Metaheuristic and hyperheuristic library for Rust using an extensible and performant combinator-based approach.

jMetal: a framework for multi-objective optimization with metaheuristics

Round table arrangemnet solution using Genetic Algorithm, Simulated Annealing, and Hill Climbing (Metaheuristic)

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

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

EasyLocal++: a c++ framework for local search metaheuristics

Adaptive Heterogeneous Improved Dynamic Multi-Swarm PSO (A-HIDMS-PSO) Algorithm

A novel hybrid PSO variant, Genetic Algorithm Assisted HIDMS-PSO.

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

Repository of shared bibtex files (references)

Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.

A framework for single/multi-objective optimization with metaheuristics

Derivative-Free Global Optimization Method (C++, Python binding) - Continuous, Combinatorial, NLS, MINLP

A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

This repo contains the implementation in Python with a tutorial of some Metaheuristic Algorithms.