July 2024
Intermediate to advanced
418 pages
10h 25m
English
Content preview from Hands-On Genetic Algorithms with Python - Second Edition
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1
An Introduction to Genetic Algorithms
Drawing its inspiration from Charles Darwin’s theory of natural evolution, one of the most fascinating techniques for problem-solving is the algorithm family suitably named evolutionary computation. Within this family, the most prominent and widely used branch is known as genetic algorithms. This chapter is the beginning of your journey to mastering this extremely powerful, yet extremely simple, technique.
In this chapter, we will introduce genetic algorithms and their analogy to Darwinian evolution before diving into their basic principles of operation and their underlying theory. We will then go over the differences between genetic algorithms and traditional ones and cover the advantages and limitations ...
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