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🎯 A comprehensive gradient-free optimization framework written in Python

Metaheuristics / Blackbox Optimization Algorithms for Go: Simulated Annealing, Genetic Algorithm, Ant Colony Optimization, Tabu Search, Particle Swarm Optimization ...

sopt:A simple python optimization library

Yarpiz Evolutionary Algorithms Toolbox for MATLAB

Variationalneuralannealing ⭐ 22

A variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization problems.

Ai N Queens ⭐ 22

Solving and GUI demonstration of traditional N-Queens Problem using Hill Climbing, Simulated Annealing, Local Beam Search, and Genetic Algorithm.

Ascension ⭐ 15

A metaheuristic optimization framework

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.

Python implementation of the Archived Multi-Objective Simulated Annealing (AMOSA) optimization heuristic

Simulated Annealing Optimization Algorithm ⭐ 7

Julia code for general simulated annealing optimization algorithm. The code can find the global maximum (or minimum) of a multi-modal function of continuous variables.

Jobshopscheduling ⭐ 5

Job Shop Scheduling metaheuristics

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