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. Genetic Algorithms represent one branch of the field of study called evolutionary computation [4], in that they imitate the biological processes of reproduction and natural selection to solve for the fittest' solutions [1].
serves as the rst generation (initial population). Then each chromosome in the population is evaluated by the tness function to test how well it solves the problem at hand. Now the selection operator chooses some of the chromosomes for reproduction based on a probability distribution de ned by the user. The tter a chromosome is, the more likely it
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