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Introduction to Genetic Algorithms in Search and Optimization
Abstract
This chapter is all about introducing genetic algorithms in the search process, which are based on the theory of natural selection, genetics, and survival of fittest. By detailed understanding of the algorithm, one would be able to apply it in your respective field for optimization. At the end of this chapter, the reader will have acquired basic theory and working of these algorithms. Since genetic algorithms are used in diverse fields, the tone and language of this chapter is kept simple and casual for better understanding. Genetic algorithms in this chapter are applied through a hand calculation example. Genetic algorithms are basically mathematical calculations based on Darwin's theory of survival of fittest. This chapter gives a detailed understanding of the theory and working of genetic algorithms based on hand calculation examples. Comparison of genetic algorithms with other search procedures is also done.
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