• DocumentCode
    479771
  • Title

    A Multi-objective Evolutionary Algorithm Based on Riemann-Sphere

  • Author

    Peng, Sheng ; Li, Yuxiang

  • Author_Institution
    State Key Lab. of software Eng., Wuhan Univ., Wuhan
  • Volume
    1
  • fYear
    2008
  • fDate
    12-14 Dec. 2008
  • Firstpage
    565
  • Lastpage
    568
  • Abstract
    A new multi-objective Evolutionary Algorithm, which is named Riemann-Sphere Multi-objective Evolutionary Algorithm (RSEA), is proposed in this paper. The characteristic of the RSEA is that it takes the infinite point as the reference point for sampling individuals first, then maps the object-space onto the Riemann-Sphere in order to evaluate whether the new individual can inserts the archive (elitist space). In this way, it can not only enhance performance of the distribution and diversity, but also accelerate the convergence rate. Finally, the numerical experiments show that the performance of the RSEA is excellent in the distribution, diversity, precision and convergence rate of the solutions.
  • Keywords
    Pareto optimisation; evolutionary computation; Riemann-Sphere; multi-objective evolutionary algorithm; pareto optimal front; Acceleration; Computer science; Constraint optimization; Convergence of numerical methods; Evolutionary computation; Genetic algorithms; Pareto optimization; Sampling methods; Software engineering; Space technology; Evolutionary Algorithm; Multiobjective; Optimization; Pareto Optimal Front; Riemann-Sphere;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Software Engineering, 2008 International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-3336-0
  • Type

    conf

  • DOI
    10.1109/CSSE.2008.816
  • Filename
    4721812