• DocumentCode
    2316166
  • Title

    Multi-objective Decision Algorithm Based on Adaptive Genetic Algorithm and Grey Relation Degree

  • Author

    Li, Junfeng ; Dai, Wenzhan

  • Author_Institution
    Dept. of Autom. control, Zhejiang Sci-Tech Univ., Hangzhou
  • fYear
    2006
  • fDate
    5-8 Dec. 2006
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Based on adaptive genetic algorithm and grey relation degree, a new algorithm for multi-objective decision is put forward. First, the multi-objective problem is divided up into multiple single-objective problems. Then the optimal results of these single-objective problems are respectively solved and unified which consist of referenced vector. Second, the grey relation degree between each individual and the referenced vector is calculated, and the grey relation degree is assigned as the fitness of the individual. At last, the Pareto optimal sets are selected by using adaptive genetic algorithm so that variety of population is saved. Simulation examples show the effectiveness of the proposed approach.
  • Keywords
    genetic algorithms; adaptive genetic algorithm; grey relation degree; multi-objective decision algorithm; Adaptive control; Biological system modeling; Costs; Educational institutions; Evolution (biology); Genetic algorithms; Genetic engineering; Linearity; Pareto optimization; Programmable control; adaptive genetic algorithm; grey relation degree; multi-objective decision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation, Robotics and Vision, 2006. ICARCV '06. 9th International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    1-4244-0341-3
  • Electronic_ISBN
    1-4214-042-1
  • Type

    conf

  • DOI
    10.1109/ICARCV.2006.345094
  • Filename
    4150004