/Optimization-Using-Simulated-Annealing

Examples and illustrations on using Simulated Annealing to solve various optimization problems.

Primary LanguagePython

Optimization-Using-Simulated-Annealing

Examples and visualisations on using Simulated Annealing to solve various optimization problems. Simulated Annealing is a metaheuristic algorithm that can be used to solve combinatiorial optimization problems. This repo contains exemplar implementations and visualisations of the algorithm.

Examples

Optima Finding

Map Coloring

Travelling Salesman Problem