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Title

Artificial Intelligence: Simulating a Basic Genetic Algorithm
Author

James A. Freeman
Organization: Artificial Intelligence Lab, Loral Space Information Systems
Journal / Anthology

The Mathematica Journal
Year: 1993
Volume: 3
Issue: 2
Page range: 52-56
Description

A genetic algorithm is a search technique that uses concepts from reproduction and natural selection to produce better solutions (children) from previous solutions (parents). Genetic algorithms are useful in a wide variety of applications requiring the optimization of a function, including some forms of machine learning. In this article, we will develop the functions necessary to implement a simple genetic algorithm and apply it to find the maximum value of a complicated function.
Subject

*Applied Mathematics > Optimization
URL

http://www.mathematica-journal.com/issue/v3i2/