Artificial Bee Colony Python Packages

ecabc

Artificial bee colony optimizer for user-defined parametric fitness functions

swarmlib

This repository implements several swarm optimization algorithms and visualizes them. Implemented algorithms: Particle Swarm Optimization (PSO), Firefly Algorithm (FA), Cuckoo Search (CS), Ant Colony Optimization (ACO), Artificial Bee Colony (ABC), Grey Wolf Optimizer (GWO) and Whale Optimization Algorithm (WOA)

swarm-seek

Literature-validated Artificial Bee Colony (ABC) optimization for Python — ask/tell API, published variants, optional Numba/JAX, sklearn & Optuna adapters.

beeoptimal

An open-source Python package implementing the Artificial Bee Colony (ABC) algorithm, a population-based optimization method inspired by the foraging behavior of honeybee swarms and designed to solve complex optimization problems efficiently.

nia

Nature Inspired Optimization Algorithms

swing-opt

An implementation of the particle swarm optimization and the artifical bee colony algorithm.

beecol

A simple Artificial Bee Colony algorithm library.