基于相容决策支持问题法的稳健优化设计方法

Robust Optimization Design Based on the Compromise Decision Support Problem

稳健优化设计本质上是多目标的优化问题,相容决策支持问题法是一种有效的多目标优化设计方法,其实质是一种包含数学规划和目标规划的混合方法。将相容决策支持问题法应用到稳健优化设计中,建立了稳健优化设计的相容决策支持问题法模型。通过对起重机变幅机构的补偿滑轮组系统的稳健优化设计,给出了具体的分析求解过程。实例表明,相容决策支持问题法对解决工程多目标优化设计的问题是有效的。

Robust optimization design is essentially multiple objectives. The compromise Decision Support Problem （DSP） was used to support design decisions in problems involving multiple objectives, it included concepts from mathematical and goal programming. The compromise DSP was introduced to robust optimization design, and mathematic model of a compromise DSP for robust optimization design was presented. Both the robustness and feasibility of constraints were satisfied and various design goals were achieved by compromising goals. To demonstrate the proposed framework, the design of the compensation of pulley block in derricking mechanism was presented. The results indicate that the proposed method effectively attains solution that is robust to variations in design.