• DocumentCode
    953938
  • Title

    Pareto optimality and particle swarm optimization

  • Author

    Baumgartner, U. ; Magele, Ch ; Renhart, W.

  • Author_Institution
    Inst. for Fundamentals & Theor. in Electr. Eng., Graz Univ. of Technol., Austria
  • Volume
    40
  • Issue
    2
  • fYear
    2004
  • fDate
    3/1/2004 12:00:00 AM
  • Firstpage
    1172
  • Lastpage
    1175
  • Abstract
    Real-world optimization problems often require the minimization/maximization of more than one objective, which, in general, conflict with each other. These problems (multiobjective optimization problems, vector optimization problems) are usually treated by using weighted sums or other decision-making schemes. An alternative way is to look for the pareto-optimal front. In this paper, the particle swarm algorithm is modified to detect the pareto-optimal front.
  • Keywords
    decision making; optimisation; stochastic processes; Pareto optimality; Pareto-optimal front; decision-making schemes; maximization; minimization; multiobjective optimization; particle swarm optimization; real-world optimization; stochastic optimization; vector optimization problems; weighted sums; Birds; Decision making; Optimization methods; Particle swarm optimization; Partitioning algorithms; Poles and towers; Sampling methods; Space technology; Stochastic processes; Transmission line theory;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/TMAG.2004.825430
  • Filename
    1284627
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=953938