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Agile Artificial Intelligence in Pharo: Implementing Neural Networks, Genetic Algorithms, and Neuroevolution
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Agile Artificial Intelligence in Pharo: Implementing Neural Networks, Genetic Algorithms, and Neuroevolution

by Alexandre Bergel
June 2020
Beginner to intermediate
394 pages
7h 17m
English
Apress
Content preview from Agile Artificial Intelligence in Pharo: Implementing Neural Networks, Genetic Algorithms, and Neuroevolution
© Alexandre Bergel​ 2020
A. BergelAgile Artificial Intelligence in Pharohttps://doi.org/10.1007/978-1-4842-5384-7_10

10. The Traveling Salesman Problem

Alexandre Bergel1 
(1)
Santiago, Chile
 

The Traveling Salesman Problem (TSP) is a classical algorithm problem. It consists of identifying the shortest possible route between several connected cities. Not only is the problem relevant from an algorithmic point of view, but it also has many concrete applications, like microchip manufacturing, as you will shorty see.

The chapter incrementally builds a non-trivial solution to the problem using a genetic algorithm. The chapter begins with a naive approach to a robust, practical way of solving it.

10.1 Illustration of the Problem

Figure 10-1

Setup of the Traveling ...

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ISBN: 9781484253847Purchase LinkPublisher Website