International Research journal of Management Science and Technology

  ISSN 2250 - 1959 (online) ISSN 2348 - 9367 (Print) New DOI : 10.32804/IRJMST

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A NOVEL GENETIC ALGORITHM BASED APPROACH FOR OPTIMIZED SOLUTION

    1 Author(s):  M.B.BRAMARAMBIKA

Vol -  7, Issue- 1 ,         Page(s) : 139 - 146  (2016 ) DOI : https://doi.org/10.32804/IRJMST

Abstract

Genetic Algorithm (GA) is a search-based optimization technique based on the principles of Genetics and Natural Selection. It is frequently used to find optimal or near-optimal solutions to difficult problems which otherwise would take a lifetime to solve. It is frequently used to solve optimization problems, in research, and in machine learning.Nature has always been a great source of inspiration to all mankind. Genetic Algorithms (GAs) are search based algorithms based on the concepts of natural selection and genetics.In GAs, we have a pool or a population of possible solutions to the given problem. These solutions then undergo recombination and mutation (like in natural genetics), producing new children, and the process is repeated over various generations. Each individual (or candidate solution) is assigned a fitness value (based on its objective function value) and thefitter individuals are given a higher chance to mate and yield more “fitter” individuals.

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