• CN: 11-2187/TH
  • ISSN: 0577-6686

›› 2007, Vol. 43 ›› Issue (5): 24-28.

• Article • Previous Articles     Next Articles

INNOVATION OF BEHAVIOR STRUCTURE GROUPING BASED ON GENETIC ALGORITHM

KIM Huichol;GUO Weizhong;WANG Yuxin;ZOU Huijun   

  1. School of Mechanical Engineering, Shanghai Jiaotong University School of Mechanical Engineering, Shanghai Tongji University School of Construction Machinery, Pyongyang University of Mechanical Engineering
  • Published:2007-05-15

Abstract: A GA-oriented computerized method is presented to group behaviors automatically during the innovation of behavior structures for computer-aided conceptual design of executive systems. The set of behaviors is separated into contradictory behaviors, the size of which determines the size of each section of a gene, and compatible ones, the size of which determines the number of sections of the gene. By quantifying the given evaluation criteria of behavior grouping, the fitness function is constructed. The behaviors are optimized to be grouped using the genetic algorithm with modified gene operations which leads to an optimal behavior structure. Examples are given to illustrate the presented method.

Key words: Behavior grouping, Behavior structure, Computer-aided conceptual design, Executive system, Genetic algorithm

CLC Number: