Visualization Technique for Analyzing Non-dominated Set Comparison

نویسندگان

  • Kiam Heong Ang
  • Gregory Chong
  • Yun Li
چکیده

Multi-objective evolutionary algorithms (MOEAs) have been proved successfully in many different applications. Over 900 publications [4] have since proposed various MOEA implementations and applications. However, there is still a significant lack of studies on metrics for MOEA comparison. In this paper, we propose a new visualization technique that will provide better analysis of the nondominated solutions for any number of objectives.

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تاریخ انتشار 2003