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다목적 유전 알고리즘을 이용한 쌍대반응표면최적화

Title
다목적 유전 알고리즘을 이용한 쌍대반응표면최적화
Other Titles
Dual Response Surface Optimization using Multiple Objective Genetic Algorithms
Author
이동희
Keywords
Response Surface Methodology; Dual Response Surface Optimization; Multiple Objective Genetic Algorithm; Posterior Preference Articulation Approach
Issue Date
2017-06
Publisher
대한산업공학회
Citation
대한산업공학회지, v. 43, no. 3, page. 164-175
Abstract
Dual response surface optimization (DRSO) attempts to optimize mean and variability of a process response variable using a response surface methodology. In general, mean and variability of the response variable are often in conflict. In such a case, the process engineer need to understand the tradeoffs between the mean and variability in order to obtain a satisfactory solution. Recently, a Posterior preference articulation approach to DRSO (P-DRSO) has been proposed. P-DRSO generates a number of non-dominated solutions and allows the process engineer to select the most preferred solution. By observing the non-dominated solutions, the DM can explore and better understand the trade-offs between the mean and variability. However, the non-dominated solutions generated by the existing P-DRSO is often incomprehensive and unevenly distributed which limits the practicability of the method. In this regard, we propose a modified P-DRSO using multiple objective genetic algorithms. The proposed method has an advantage in that it generates comprehensive and evenly distributed non-dominated solutions.
URI
http://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE07183377https://repository.hanyang.ac.kr/handle/20.500.11754/114666
ISSN
1225-0988; 2234-6457
DOI
10.7232/JKIIE.2017.43.3.164
Appears in Collections:
ETC[S] > 연구정보
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