The Significance of Genetic Algorithms in Search, Evolution, Optimization and Hybridization: A Short Review

Abstract

Evolutionary computing has facilitated numerous real life applications. Genetic algorithms are one of the pioneer method that works on principle of natural genetics to provide search and optimization facility. Apart from search and optimization, Genetic Algorithm provides evolutionary characteristics and hybridization with fuzzy logic and neural network. The paper explains general structure of Genetic Algorithm along with advantages of Genetic Algorithm. The paper represents multiple roles offered by Genetic Algorithm. Genetic Algorithm has been successful in developing numerous applications which includes machine learning and robotics, global and multi-objective optimization, classification, mathematical modeling, engineering and many more. The paper has significantly explains various roles presented by Genetic Algorithms by contributing to the development of evolutionary and intelligent hybrid systems.