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Genetic Algorithm:A Search-Based Optimization Technique
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Nature has been an unlimited source of motivation to all manhood. Current activities in Soft Computing is close the progress of technologies which have source and correspondence with biological phenomenon linked with human as evolutionary computation. Soft Computing is combination of several methods as Artificial Neural Network, Fuzzy Logic and Genetic Algorithm. This paper focuses on the search based optimization technique i.e. Genetic Algorithm. Optimization is the scheme of building a something best. The biological concepts of Genetic Algorithm are discussed. Steps required for implementing Genetic Algorithm i.e. Initialization, Encoding, Genetic Operators, Mutation and Termination are described. The traveling Salesman Problem is well-known problem of search based optimization. This problem is considered for discussion. The results are discussed for different number of cities to be travelled with minimum cost function.
Keywords
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