November 2018
Beginner
424 pages
11h 43m
English

Genetic algorithms are general-purpose optimization programs designed to solve complex problems. Invented in the 1970s, they belong to the class of evolutionary algorithms, so named because they mimic the Darwinian process of natural selection. They are especially useful when little is known about a problem, when you’re dealing with a nonlinear problem, or when searching for brute-force-type solutions in a large search space. Best of all, they are easy algorithms to grasp and implement.
In this chapter, you’ll use genetic algorithms to breed a race of super-rats that can terrorize the world. After that, ...