A posterior preference articulation approach to dual-response-surface optimization
SCIE
SCOPUS
- Title
- A posterior preference articulation approach to dual-response-surface optimization
- Authors
- Lee, DH; Jeong, IJ; Kim, KJ
- Date Issued
- 2010-01
- Publisher
- TAYLOR & FRANCIS INC
- Abstract
- In dual-response-surface optimization, the mean and standard deviation responses are often in conflict. To obtain a satisfactory compromise, a Decision Maker (DM)'s preference information on the trade-offs between the responses should be incorporated into the problem. In most existing works, 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. This study proposes a posterior preference articulation approach to dual-response-surface optimization. The posterior preference articulation approach initially finds a set of non-dominated solutions without the DM's preference information, and then allows the DM to select the best solution among the non-dominated solutions. The proposed method enables a satisfactory compromise solution to be achieved with minimum cognitive effort and gives the DM the opportunity to explore and better understand the trade-offs between the two responses.
- Keywords
- Dual-response-surface optimization; non-dominated solution; posterior preference articulation approach; SIMULATION OPTIMIZATION; ROBUST-OPTIMIZATION; OPTIMALITY; VARIANCE; CRITERIA; SYSTEMS
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/25651
- DOI
- 10.1080/07408170903228959
- ISSN
- 0740-817X
- Article Type
- Article
- Citation
- IIE TRANSACTIONS, vol. 42, no. 2, page. 161 - 171, 2010-01
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- There are no files associated with this item.
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