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An Introduction to Genetic Algorithms

An Introduction to Genetic Algorithms Jenna Carr May 16, 2014. Abstract Genetic Algorithms are a type of optimization algorithm , meaning they are used to find the maximum or minimum of a function. In this paper we introduce, illustrate, and discuss Genetic Algorithms for beginning users. We show what components make up Genetic Algorithms and how to write them. Using MATLAB, we program several examples, including a Genetic algorithm that solves the classic Traveling Salesman Problem. We also discuss the history of Genetic Algorithms , current applications, and future developments. Genetic Algorithms are a type of optimization algorithm , meaning they are used to find the optimal solution(s) to a given computational problem that maximizes or minimizes a particular function.

Genetic algorithms are a type of optimization algorithm, meaning they are used to nd the optimal solution(s) to a given computational problem that maximizes or minimizes a ... are automatic programming and machine learning. They are also well suited to modeling phenomena in economics, ecology, the human immune system, population genetics, and

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