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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
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Depositing User: Sharon Beastall
Date Deposited: 03 May 2012 08:12
Last Modified: 19 Nov 2015 12:53


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