Hands-On Genetic Algorithms with Python by Eyal Wirsansky

Author:Eyal Wirsansky
Language: eng
Format: epub
Tags: COM072000 - COMPUTERS / Computer Simulation, COM004000 - COMPUTERS / Intelligence (AI) and Semantics, COM037000 - COMPUTERS / Machine Theory
Publisher: Packt
Published: 2020-01-31T05:00:15+00:00

So far, we have been looking into discrete search problems consisting of states and state transitions. In the next chapter, we will study search problems in a continuous space to demonstrate the versatility of the genetic algorithms approach.

Further reading

For more information on the topics that were covered in this chapter, please refer to the following resources:

Constraint Satisfaction Problems, from the book Artificial Intelligence with Python by Prateek Joshi, January 2017

Introduction to graph theory, from the book Python Data Science Essentials – Second Edition by Alberto Boschetti, Luca Massaron, October 2016

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