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Comparison between multiobjective optimization algorithms

Radhi, H.E. and Barrans, Simon (2012) Comparison between multiobjective optimization algorithms. In: Proceedings of The Queen’s Diamond Jubilee Computing and Engineering Annual Researchers’ Conference 2012: CEARC’12. University of Huddersfield, Huddersfield, pp. 129-135. ISBN 978-1-86218-106-9

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      The first aim of this study was to perform a complete comprehensive comparison between multiobjective optimization methods by using the commercial modeFRONTIER software to solve the
      standard test problem SCH and FON and examining the efficiency of each method. Two numerical
      performance metrics and one visual criterion were chosen for qualitative and quantitative comparison
      : (1) Spacing metric (S) which indicates the distribution of the Pareto front in the objective space. (2) the ratio between the number of resulting Pareto front members and the total number of fitness function calculations, and lastly (3) graphical representation of the Pareto fronts for discussion. These metrics were chosen to represent the quality, as well as speed of the algorithms by ensuring well distributed solution.

      Item Type: Book Chapter
      Uncontrolled Keywords: Multi-objective optimization, Genetic algorithms, MOSA.
      Subjects: T Technology > TA Engineering (General). Civil engineering (General)
      Schools: School of Computing and Engineering
      School of Computing and Engineering > Centre for Precision Technologies
      School of Computing and Engineering > Centre for Precision Technologies > Engineering Control and Machine Performance Research Group
      School of Computing and Engineering > Computing and Engineering Annual Researchers' Conference (CEARC)
      School of Computing and Engineering > Pedagogical Research Group
      School of Computing and Engineering > Turbocharger Research Institute
      Related URLs:
      Depositing User: Sharon Beastall
      Date Deposited: 03 May 2012 09:12
      Last Modified: 23 Sep 2014 12:09


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