A Fast Elitist Multiobjective Genetic Algorithm: Nsga-ii

نویسنده

  • ARAVIND SESHADRI
چکیده

NSGA ( [5]) is a popular non-domination based genetic algorithm for multiobjective optimization. It is a very effective algorithm but has been generally criticized for its computational complexity, lack of elitism and for choosing the optimal parameter value for sharing parameter σshare. A modified version, NSGAII ( [3]) was developed, which has a better sorting algorithm , incorporates elitism and no sharing parameter needs to be chosen a priori. NSGA-II is discussed in detail in this.

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تاریخ انتشار 2006