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Solving the Travelling Salesman Problem Using a Genetic Algorithm | by James Wilkins | Aug, 2024

August 26, 2024
in Artificial Intelligence
Reading Time: 3 mins read
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An exploration with Python

James Wilkins
Towards Data Science

You may view the pocket book for this mission right here.

Photograph by Colin Lloyd on Unsplash

Travelling Salesman Drawback

The Travelling Salesman Drawback, TSP, describes a situation the place a salesman needs to go to numerous cities, whereas taking the shortest doable route, earlier than returning residence to the beginning level. Whereas it could seem easy, this downside not solely has no identified polynomial time resolution, however there’s additionally no time-efficient solution to show {that a} given resolution is actually optimum.

As an alternative, we regularly use heuristic algorithms to provide an approximate resolution that’s enough for a lot of sensible makes use of. On this article, we’ll discover a unique strategy to producing a ‘good’ resolution utilizing a Genetic Algorithm. For a extra in-depth dialogue of the difficulties of the TSP, in addition to a abstract of a number of the heuristic strategies used to unravel it, take a look at this text.

Genetic Algorithm

A Genetic Algorithm, GA, is a machine studying method that’s modelled on organic evolution. It’s a guided random search algorithm that may discover a big resolution area very effectively. A GA entails constructing a inhabitants of ‘chromosomes’ which act as potential options to the…

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Tags: AlgorithmAugGeneticJamesProblemSalesmansolvingTravellingWilkins
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