Evolutionary Multi-Objective Optimization Without Additional Parameters

  title={Evolutionary Multi-Objective Optimization Without Additional Parameters},
  author={Kalyanmoy Deb},
  booktitle={Parameter Setting in Evolutionary Algorithms},
The present-day evolutionary multi-objective optimization (EMO) algorithms had a demonstrated history of evolution over the years. The initial EMO methodologies involved additional niching parameters which made them somewhat subjective to the user. Fortunately, soon enough parameter-less EMO methodologies have been suggested thereby making the earlier EMO algorithms unpopular and obsolete. In this paper, we present a functional decomposition of a viable EMO methodology and discuss the critical… CONTINUE READING

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NSGA-II: Fast breaking paper in the field of engineering. ISI Web of Science, http://esi-topics.com/fbp/2004/february04- KalyanmoyDeb.html

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