Computer and Modernization ›› 2012, Vol. 1 ›› Issue (11): 43-46.doi: 10.3969/j.issn.1006-2475.2012.11.012

• 人工智能 • Previous Articles     Next Articles

Three Preference-based Interval Multi-objective Evolutionary Algorithms and Their Application

YIN Zhao-ning1, SUN Jing2   

  1. 1. Lianyungang Runzhong Pharmaceutical Co., Ltd., Lianyungang 222069, China;2. School of Science, Huaihai Institute of Technology, Lianyungang 222005, China
  • Received:2012-07-23 Revised:1900-01-01 Online:2012-11-10 Published:2012-11-10

Abstract: Interval multi-objective optimization problems are very popular and important. There exist few evolutionary optimization methods for directly solving them, and these existing methods aim at finding a set of well-converged and evenly-distributed Pareto-optimal solutions. Three preference-based interval multi-objective evolutionary algorithms are surveyed to obtain the most preferred solution fitted the decision maker’s preferences. Additionally, the above algorithms are applied in robot path planning problems under a special environment, and are compared about their performance. The research enriches the methods of solving robot path planning problems under a special environment, and improves the optimization performance of the problems.

Key words: evolutionary algorithm, multi-objective optimization, interval, preference, robot, path planning

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