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
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