A posterior preference articulation approach to multiresponse surface optimization

Date

2011-04-16

Author

Lee, Dong-Hee
Kim, Kwang-Jae
Köksalan, Mustafa Murat

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

87
views

0
downloads

In multiresponse surface optimization (MRSO), responses are often in conflict. To obtain a satisfactory compromise, the preference information of a decision maker (DM) on the tradeoffs among the responses should be incorporated into the problem. In most existing work, the DM expresses a subjective judgment on the responses through a preference parameter before the problem-solving process, after which a single solution is obtained. In this study, we propose a posterior preference articulation approach to MRSO. The approach initially finds a set of nondominated solutions without the DM's preference information, and then allows the DM to select the best solution from among the nondominated solutions. An interactive selection method based on pairwise comparisons made by the DM is adopted in our method to facilitate the DM's selection process. The proposed method does not require that the preference information be specified in advance. It is easy and effective in that a satisfactory compromise can be obtained through a series of pairwise comparisons, regardless of the type of the DM's utility function.

Subject Keywords

Quality management, Multiresponse surface optimization, Nondominated solution, Posterior preference articulation approach

URI

https://hdl.handle.net/11511/51899

Journal

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

DOI

https://doi.org/10.1016/j.ejor.2010.09.032

Collections

Department of Industrial Engineering, Article

Suggestions

OpenMETU
Core

An interactive method to multiresponse surface optimization based on pairwise comparisons Lee, Dong-Hee; Kim, Kwang-Jae; Köksalan, Mustafa Murat (Informa UK Limited, 2012-01-01) In Multi-Response Surface Optimization (MRSO), responses are often in conflict. To obtain a satisfactory compromise, the preference information of a Decision Maker (DM) on the trade-offs among the responses should be incorporated into the problem. Most existing methods employ preference parameters to incorporate the DM's subjective judgment on the responses. The preference parameter values are specified in advance or adjusted in an interactive manner. However, it is often difficult to specify or adjust the ...
An Interactive approach to two-response product and process design optimization with statistical inferences Özateş, Melis; Köksal, Gülser; Köksalan, Murat; Department of Industrial Engineering (2015) In this study, an interactive approach has been developed for two-response product and process design optimization problems treating the single response problems as a special case. This approach considers preferences of the decision maker explicitly and the correlation between the responses. It uses a predefined set of objectives that are commonly encountered in the literature and industrial applications. However, instead of presenting all objective values at each iteration, a set of performance measures ar...
A reformulation of the ant colony optimization algorithm for large scale structural optimization Hasançebi, Oğuzhan; Saka, M.p. (2011-01-01) This study intends to improve performance of ant colony optimization (ACO) method for structural optimization problems particularly with many design variables or when design variables are chosen from large discrete sets. The algorithm developed with ACO method employs the so-called pheromone scaling approach to overcome entrapment of the search in a poor local optimum and thus to recover efficiency of the method for large-scale optimization problems. Besides, a new formulation is proposed for the local upda...
A REPLICATION APPROACH TO INTERVAL ESTIMATION IN SIMULATION Köksalan, Mustafa Murat; BASOZ, N (1991-12-11) The authors modify an earlier approach developed for reducing the bias of the estimator for the mean response in simulation caused by the initial conditions. They try to balance the bias of the estimator in a simulation run by imposing a bias in the opposite direction in a companion run by suitably setting its initial conditions. They present analytical results for the bias of the estimator for AR(1) and M/M/s processes. They suggest making independent replications of the pairs of runs to construct a confid...
A comparision of object oriented size evaluation techniques Sırakaya, Hatice Sinem; Demirörs, Onur; Department of Information Systems (2003) Popular Object Oriented size metrics and estimation methods are examined. A case study is conducted. Five of the methods (أLOCؤ, أOOPSؤ, أUse Case Points Methodؤ, أJ.Kammelar̕s Sizing Approachؤ and أMark II FPؤ) are applied to a project whose requirements are defined by means of use cases. Size and effort estimations are made and compared with the actual results of the project.

Citation Formats

D.-H. Lee, K.-J. Kim, and M. M. Köksalan, “A posterior preference articulation approach to multiresponse surface optimization,” EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, pp. 301–309, 2011, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/51899.