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A FAST ELITIST MULTIOBJECTIVE GENETIC ALGORITHM: NSGA …

A FAST ELITIST MULTIOBJECTIVE GENETIC ALGORITHM: NSGA-IIARAVIND optimization Using NSGA-IINSGA ( [5]) is a popular non-domination based GENETIC algorithm for multi-objective optimization . It is a very effective algorithm but has been generallycriticized for its computational complexity, lack of elitism and for choosing theoptimal parameter value for sharing parameter share. A modified version, NSGA-II ( [3]) was developed, which has a better sorting algorithm , incorporates elitismand no sharing parameter needs to be chosena priori. NSGA-II is discussed indetail in Description of NSGA-IIThe population is initialized as usual. Once the population in initialized thepopulation is sorted based on non-domination into each front. The first front beingcompletely non-dominant set in the current population and the second front beingdominated by the individuals in the first front only and the front goes so on.

1. Multi-Objective Optimization Using NSGA-II NSGA ( [5]) is a popular non-domination based genetic algorithm for multi-objective optimization. It is a very efiective algorithm but has been generally criticized for its computational complexity, lack of elitism and for choosing the optimal parameter value for sharing parameter ¾share. A ...

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