Joe Wilson
What are the mutation types in Genetic Algorithm?
By Joe Wilson in .NET on Dec 16 2015
  • Avikshith Aradhya
    May, 2016 30

    First let us see what is Genetic Algorithm,Genetic Algorithms are the population based search and optimization technique that mimic the process of natural evolution. Different crossover and mutation operators exist to solve the problem that involves large population size. Example of such a problem is travelling sales man problem, which is having a large set of solution.Genetic algorithm belongs to the larger class of evolutionary algorithms, which generate solution to optimization problems using techniques inspired by natural evolution such as inheritance, mutation, selection and crossoverMutation is a genetic operator used to maintain genetic diversity from one generation of a population of genetic algorithm chromosomes to the next.

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