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GitHub / ckacquah / Optimization-Search-Python

A collection of python scripts that demonstrate solving the traveling salesman problem. Simulated annealing and hill climbing algorithms were used to solve the optimization problem

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ckacquah%2FOptimization-Search-Python
PURL: pkg:github/ckacquah/Optimization-Search-Python

Stars: 1
Forks: 0
Open issues: 1

License: mit
Language: Python
Size: 87.9 KB
Dependencies parsed at: Pending

Created at: about 4 years ago
Updated at: almost 3 years ago
Pushed at: about 4 years ago
Last synced at: about 2 years ago

Topics: ai, artificial-intelligence, hill-climbing, hill-climbing-algorithm, hill-climbing-search, python, python3, simulated-annealing, tkinter, traveling-salesman, traveling-salesman-problem

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