Non-dominated Sorting on Two Objectives

نویسندگان

  • Michael Mazurek
  • Slawomir Wesolkowski
چکیده

....... The fast and elitist non-dominated sorting genetic algorithm (NSGA-II) contains a mechanism to sort individuals in a multi-objective optimization problem into non-dominated fronts, based on their performance in each optimization variable. When dealing with a bi-objective problem it is possible to carry-out the non-dominated sorting more efficiently, using the new sorting method presented in this paper. Results comparing the efficiency of the two sorting mechanisms on sets of data with two objectives are presented and discussed. DRDC CORA TN 2009-027 i

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تاریخ انتشار 2009