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].
chromosomes. One approach is to convert each parameter value into a bit string (sequence of 1’s and 0’s), then concatenate the parameters end-to-end like genes in a DNA strand to create the chromosomes [8]. Historically, chromosomes were typically encoded this way, and it remains a suitable method for discrete solution spaces. Modern ...
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