Adaptive large neighbourhood search (and more!) in Python.
Multi-Strategy Parrot Optimizer — reference implementation of the metaheuristic introduced in Govindarajan (2025), Digital Health
Harmony Search optimization library with dependent variable spaces, engineering catalogs (ACI rebar, steel sections, concrete grades), dynamic bandwidth, crash recovery, and CSV logging.
HeuriLab — A Python library with 100metaheuristic optimization algorithms across 5 categories (swarm, evolutionary, physics, human, bio) for benchmarking and engineering problems.
Swarming is a Python3 library that features both parallel and serial implementation of the Particle Swarm Optimization (PSO) algorithm.
Scatter search optimization in Python
Late Acceptance Hill Climbing in Python
A python metaheuristic optimization library. Currently supports Genetic Algorithms, Gravitational Search, Cross Entropy, and PBIL.
