Abstract: In this paper, we present the use of Genetic Algorithm (GA) and it’s variants for the various field of the Mechanical engineering & other engineering discipline. Genetic algorithm is method for optimization based on the mechanics on the natural selection and the natural genetics. It means, it works on the principle of natural selection and natural genetics to comprise search and optimization process. The genetic algorithm based heuristic is easily parallelizable, one of its important attribute to be investigated in the near future. GA has many variants like – “Real coded GA, Binary coded GA, Least mean square GA, Saw-tooth GA, Differential Evolution GA”. This review paper discusses a few of the forms of GA and applies the Function optimization and System Identification and the application and limitations.
Keywords: Genetic algorithm, Optimization, Variant of GA.
Title: Variants of Genetic Algorithm and Its Application to Mechanical Engineering: A Review
Author: Kishan Pipariya, Mohit Pipalava, Krunal Agrawal, Aemish Patel, Jasmin Hirapara
International Journal of Mechanical and Industrial Technology
ISSN 2348-7593 (Online)
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