• DocumentCode
    1505916
  • Title

    Finding Innovative Design Principles for Multiobjective Optimization Problems

  • Author

    Askar, S. ; Tiwari, Anish

  • Author_Institution
    Manuf. Dept., Cranfield Univ., Cranfield, UK
  • Volume
    41
  • Issue
    4
  • fYear
    2011
  • fDate
    7/1/2011 12:00:00 AM
  • Firstpage
    554
  • Lastpage
    559
  • Abstract
    Many real-life problems are multiobjective optimization problems, and often, when solving these types of problems, the main task that the researchers are interested in is to compute or approximate the Pareto-optimal front. In this paper, a systematic procedure (an analytical approach) is introduced not only for finding the Pareto-optimal front but for formulating the relationship between the decision variables (innovative design principles) as well, which leads to generating this Pareto-optimal front. The introduced analytical approach is explained, and its working procedure is illustrated on a number of engineering design applications. The diversity of the problems selected from the literature and the results obtained for each problem demonstrate the usefulness of the introduced analytical approach.
  • Keywords
    Pareto optimisation; design engineering; Pareto optimal front; engineering design; innovative design; multiobjective optimization problems; Equations; Genetic algorithms; Optimization; Solids; Storms; Systematics; Welding; Analytical approach; Pareto front; engineering design; innovative design; multiobjective optimization;
  • fLanguage
    English
  • Journal_Title
    Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1094-6977
  • Type

    jour

  • DOI
    10.1109/TSMCC.2010.2081666
  • Filename
    5756700