Abstract
The genetic algorithm (GA) and its variants have been used in a wide variety of fields by the scientists efficiently for solving problems. From the pool of evolutionary algorithms, the GA is chosen by the researchers and has been popular as a useful and effective optimizer. It has several advantages and disadvantages. However, it provides solutions for various kinds of problems such as space research, economics, market study, geography, remote sensing, agriculture, data mining, cancer detection, and many more. This chapter discusses the utilization of the GA in some of these fields with a few experimental results such as data clustering, pattern identification and matching, and shape detection. The results are illustrated and explained with reasons for better understanding of the GA application in the scientific fields. Other than these, the GA in bioinformatics for biological sequence alignment is discussed with examples.
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