Robust Optimization Design of Compensative Pulley Block of Luffing Mechanism Using the Compromise Decision Support Problem

Abstract:

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Robust optimization design essentially has multiple objectives. The compromise Decision Support Problem (DSP) is a multi-objective mathematical programming formulation that is used to model engineering decisions involving multiple tradeoffs. In this paper, the compromise DSP is introduced to robust optimization design, and mathematic model of a compromise DSP for robust optimization design is presented. In this framework, the tradeoff between the mean and deviation of performance is made by solving the bi-objective robust design problem. To demonstrate the feasibility of this approach, a case study involving the design of the compensative pulley block of luffing mechanism is considered.

Info:

Periodical:

Advanced Materials Research (Volumes 44-46)

Edited by:

Z.Y. Shen, M.N. James, W.D. Li, and Y.X. Zhao

Pages:

463-470

DOI:

10.4028/www.scientific.net/AMR.44-46.463

Citation:

X. F. Cheng "Robust Optimization Design of Compensative Pulley Block of Luffing Mechanism Using the Compromise Decision Support Problem", Advanced Materials Research, Vols. 44-46, pp. 463-470, 2008

Online since:

June 2008

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$35.00

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