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

Abstract

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.

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