Abstract: Genetic algorithms are having a random probability distribution or pattern that may be analysed statistically but may not be predicted precisely. Genetic algorithms are search algorithms which acts on a population of possible solutions and designed on the natural evolution process. The word genetic is derived from Greek word genesis which means “Generation”. In the Genetic Algorithm, the solution of the problem is coded as a string of bits or real numbers. Genetic algorithms are the algorithms that are used for optimization and machine learning based on various features of biological evolution. By using Genetic algorithms functional optimization can be done very efficiently.

Keywords: Neural Networks, Artificial Intelligence, Machine Learning, Genetic Algorithms.

PDF | DOI: 10.17148/IARJSET.2020.7520

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