April 2018
Intermediate to advanced
224 pages
7h
English
Content preview from Classic Computer Science Problems in SwiftBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Chapter 5. Genetic algorithms
Genetic algorithms are not used for everyday programmatic problems. They are called upon when traditional algorithmic approaches are insufficient for arriving at a solution to a problem in a reasonable amount of time. In other words, genetic algorithms are usually reserved for complex problems without easy solutions. If you need a sense of what some of these complex problems might be, feel free to read ahead in section 5.7 before proceeding.
5.1. Biological background
In biology, the theory of evolution is an explanation of how genetic mutation coupled with the constraints of an environment leads to changes in organisms over time (including speciation—the creation of new species). The mechanism by which the well-adapted ...
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