Transcription of An Introduction to Genetic Algorithms
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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.
and quanti es how ‘ t’ each potential solution is. The tness function is one of the most pivotal parts of the algorithm, so it is discussed in more detail at the end of this section. The term chromosome refers to a numerical value or values that represent a candidate solution to the problem that the genetic algorithm is trying to solve [8].
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