On the Optimization of Multi-Objectives with Unquantifiable Factors

摘要：

Most of the optimization algorithms have been developed to find the best solutions within the scope of quantifiable variables, which typically fails to function when un-quantifiable factors involved. In this paper, we will investigate multi-objective optimization algorithms with unquantifiable factors. By means of weighting the unquantifiable factors either by its information entropy or by individual subjective partiality, the multi-objective optimization model is made analytically computable. We employ analytic hierarchy process method associated with graphical operators to construct the optimization model and to establish relevant constraints. A functional configuration design of mobile device will be taken as an example to demonstrate how to harmonize unquantifiable factors in the multi-objective optimization. The evaluation results confirm that the proposed method is valid and effective for the optimization of multi-objectives with unquantifiable factors.

关键词： Multi-objective optimization unquantifiable factor analytic hierarchy process functional configuration design

作者: Chensheng Wang Liang Chen Fei Zhou Joris S. M. Vergeest

作者单位: Beijing University of Posts and Telecommunications, Beijing 100039, P.R. China Delft University of Technology, 2628 CE Delft, The Netheriandsa

会议类型: 国际会议

会议名称: The First World Congress on Global Optimization in Engineering & Science(第一届工程与科学全局优化国际会议 WCGO2009)

会议地点: 长沙

会议语种:英文

页码: 15-22

在线出版日期: 2009-06-01（万方平台首次上网日期，不代表论文的发表时间）