Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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A New evolutionary Multiobjective Optimization Algorithm based on the Non-domination Direction Information

비지배 방향정보를 이용한 새로운 다목적 진화 알고리즘

  • Kang, Young-Hoon (Dept. of Electrical Engineering and Computer Science, KAIST) ;
  • Zeungnam Bien (Dept. of Electrical Engineering and Computer Science, KAIST)
  • Published : 2000.11.01
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Abstract

In this paper, we introduce a new evolutionary multiobjective optimization algorithm based on the non-domination direction information, which can be an alternative among several multiobjective evolutionary algorithms. The new evolutionary multiobjective optimization algorithm proposed in this paper will not use the conventional recombination or mutation operators but use the non-domination directions, which are extracted from the non-domination relation among the population. And the problems of the modified sharing algorithms are pointed out and a new sharing algorithm sill be proposed to overcome those problems.

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