Genetic Algorithm: An Optimization Technique Concept
Journal: International Journal of Application or Innovation in Engineering & Management (IJAIEM) (Vol.5, No. 6)Publication Date: 2016-07-15
Authors : Uma Anand; Chain Singh;
Page : 76-81
Keywords : KEYWORDS: Genetic Algorithm; Crossover; Mutation;
Abstract
ABSTRACT Genetic algorithms (GA) is a very useful optimization technique which is used for searching very large spaces and plays role model for searching techniques in the genetic material in living organisms. Genetic algorithms tend to thrive in an environment where there is a very large set of candidate solutions and in which the search space is uneven and has many hills and valleys. Genetic Algorithm basically helps to create useful substructures that can be potentially combined to make fitter individuals. A small population of individuals can be effectively used to search a large space which helps in employing useful schemata. This paper focuses on how the genetic algorithm is a good optimization technique.
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Last modified: 2016-07-15 16:05:52