• DocumentCode
    476017
  • Title

    New progresses and prospect of multi-objective evolutionary algorithm

  • Author

    Zheng, You-Lian ; Lei, De-Ming

  • Author_Institution
    Sch. of mathematic & Comput. Sci., Hubei Univ., Hubei
  • Volume
    2
  • fYear
    2008
  • fDate
    12-15 July 2008
  • Firstpage
    962
  • Lastpage
    968
  • Abstract
    Solving multi-objective optimization problem using evolutionary algorithm has attracted much attentions and the great progresses have been made in the past decades. The whole history of the research on multi-objective evolutionary algorithm (MOEA) is divided into three periods. After the features of the researches of MOEA and the research achievements are briefly reviewed, the new progresses of MOEA are described in detail since 2003. The various strategies such as co-evolution, parallel implementation and the dynamic evolution have been introduced into MOEA. Finally, the prospects of MOEA in the future are discussed.
  • Keywords
    evolutionary computation; optimisation; MOEA; dynamic evolution; multiobjective evolutionary algorithm; parallel implementation; Chaos; Computer science; Evolutionary computation; Genetic algorithms; History; Hybrid power systems; Machine learning; Machine learning algorithms; Mathematics; Power system dynamics; Evolutionary algorithm; Multi-objective optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2008 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-2095-7
  • Electronic_ISBN
    978-1-4244-2096-4
  • Type

    conf

  • DOI
    10.1109/ICMLC.2008.4620544
  • Filename
    4620544