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PARETO BI-CRITERION OPTIMIZATION FOR SYSTEM SIZING : A DETERMINISTIC AND CONSTRAINT BASED APPROACH
Yvars, Pierre-Alain
Type:
Year:
2011
Editor:
Culley, S.J.; Hicks, B.J.; McAloone, T.C.; Howard, T.J. & Lindemann, U.
Author:
Series:
ICED
Section:
Product and Systems Design
Page(s):
420-429
Abstract:
In this paper we are studying a deterministic constraint based approach to solve Pareto bi-criterion optimization problems in design. After presenting a state of the art of multi-objective optimization methods in design, the CSP method and the several ways to solve it is introduced. A quick overview of CSP application in product engineering is given too. Moreover, we introduce an optimization point of view for CSP and we propose a deterministic alternative to stochastic methods for solving Pareto bi-objective system sizing problems. An example in mechanical system optimization is given via the case study of the Pareto bi-criterion optimal design of a bolt coupling. The case is modeled as a Constraint Satisfaction Problem on both discrete and real variables. Finally, the numerical results and the Pareto frontier are exposed.
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