• DocumentCode
    2763318
  • Title

    An Adaptive Multi-objective Evolutionary Algorithm Based on Differential Evolution

  • Author

    Xiao, RuoHui

  • Author_Institution
    WenZhou Vocational Coll. of Sci. & Technol., Wenzhou, China
  • Volume
    2
  • fYear
    2010
  • fDate
    6-7 March 2010
  • Firstpage
    393
  • Lastpage
    396
  • Abstract
    Multi-objective Optimization Evolutionary Algorithm can be applied to problems in Economies, Management and Engineering; actually, most of design problem in real world can be reduced to multi-objective optimization problem. This paper proposed a new Evolutionary Algorithm based on Differential Evolution. The experimental results as the test-bed show that this algorithm can obtain quite fine approximated Pareto fronts and the fronts cover the theoretical Pareto front; these results imply that the proposed algorithm performs well.
  • Keywords
    Conference management; Decoding; Design engineering; Design optimization; Educational institutions; Encoding; Engineering management; Environmental management; Evolutionary computation; Genetic mutations; Adaptive; Differential Evolution; Evolutionary Algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Challenges in Environmental Science and Computer Engineering (CESCE), 2010 International Conference on
  • Conference_Location
    Wuhan, China
  • Print_ISBN
    978-0-7695-3972-0
  • Electronic_ISBN
    978-1-4244-5924-7
  • Type

    conf

  • DOI
    10.1109/CESCE.2010.270
  • Filename
    5493310