January 2020
Intermediate to advanced
346 pages
9h 8m
English
Content preview from Hands-On Genetic Algorithms with Python
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Technical requirements
In this chapter, we will be using Python 3 with the following supporting libraries:
- deap
- numpy
- matplotlib
- seaborn
In addition, we will be using the benchmark data from the Rosetta Code Knapsack problem/0-1 (http://rosettacode.org/wiki/Knapsack_problem/0-1), and the TSP LIB (http://elib.zib.de/pub/mp-testdata/tsp/tsplib/tsp/).
The programs used in this chapter can be found in the book's GitHub repository at https://github.com/PacktPublishing/Hands-On-Genetic-Algorithms-with-Python/tree/master/Chapter04.
Check out the following video to see the Code in Action: http://bit.ly/2tfyfMI
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