Search Packages

py2opt

How to solve the traveling salesman problem with the 2-opt algorithm, a fast heuristic search algorithm.

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)

freelunch

Heuristic and meta-heuristic optimisation suite in Python

deepxube

Solving pathfinding problems in an explainable manner with deep learning, reinforcement learning, heuristic search, and logic

pyharmonysearch

pyHarmonySearch is a pure Python implementation of the harmony search (HS) global optimization algorithm.

versatile-evasion-attacks

Security protocols for estimating adversarial robustness of machine learning models for both tabular and image datasets. This package implements a set of evasion attacks based on metaheuristic optimization algorithms, and complex cost functions to give reliable results for tabular problems.

perfect-game-player

Plays board games using Minimax algorithm

universal-evasion-attacks

Security protocols for estimating adversarial robustness of machine learning models for both tabular and image datasets. This package implements a set of evasion attacks based on metaheuristic optimization algorithms, and complex cost functions to give reliable results for tabular problems.

deepcubeai

Learning Discrete World Models for Heuristic Search

pathplanning

A library-first, ROS-agnostic path-planning core with reproducible benchmarking and performance-minded implementations! Innovation by past works of zhm-real/PathPlanning!

ampgo

Adaptive Memory Programming for Global Optimization

tsp-solutions

The travelling salesman problem is a np-hard problem with application in supply chain and computer science