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Understanding Genetic Algorithm (GA) Operators Step by Step

Understanding Genetic Algorithm (GA) Operators Step by Step
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Copyright: 2021
Pages: 15
Source title: Genetic Algorithms and Applications for Stock Trading Optimization
Source Author(s)/Editor(s): Vivek Kapoor (Devi Ahilya University, Indore, India)and Shubhamoy Dey (Indian Institute of Management, Indore, India)
DOI: 10.4018/978-1-7998-4105-0.ch006

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Abstract

In today's world of soft computing, GAs are a hot topic. Researchers developed this fascinating application to face or to counter many difficult problems which cannot be solved through traditional approaches. We have seen that in the published work of GAs, an author does not reveal the working of the GA as a whole. In this chapter, the authors tried to untwist the GA methodology. This knowledge will be helpful in applying GAs for various applications (i.e., in the fields of science and technology and business). In the case of business-related problems, the use of GAs will have viable value. This chapter is a guide to using GAs vs. other soft computing techniques. Later in the chapter, the authors explain the working and comparison of GAs by using question and answer format.

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