Title :
Finding Innovative Design Principles for Multiobjective Optimization Problems
Author :
Askar, S. ; Tiwari, Anish
Author_Institution :
Manuf. Dept., Cranfield Univ., Cranfield, UK
fDate :
7/1/2011 12:00:00 AM
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;
Journal_Title :
Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on
DOI :
10.1109/TSMCC.2010.2081666