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http://dx.doi.org/10.5391/JKIIS.2014.24.1.046

A Study on the Development and the Verification of Engineering Structure Design Framework based on Neuro-Response Surface Method (NRSM)  

Lee, Jae-Chul (Department of Naval Architectural & Ocean Engineering, Pusan National University)
Shin, Sung-Chul (Department of Naval Architectural & Ocean Engineering, Pusan National University)
Kim, Soo-Young (Department of Naval Architectural & Ocean Engineering, Pusan National University)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.24, no.1, 2014 , pp. 46-51 More about this Journal
Abstract
The most important process of engineering system optimal design is to identify the relationship between the design variables and system response. In case of the system optimization, Response Surface Method (RSM) is widely used. The optimization process of RSM generates the design space using the typical alternative candidates and finds the optimal design point in the generated design space. By changing the optimal point depending on the configuration of the design space, it is important to generate the design space. Therefor in this study, the design space is generated by using the relationship between design variables and system response based on Neuro-Response Surface Method (NRSM). And I try to construct the framework for optimal shape design based on NRSM that the optimum shape can be predicted using the Non-dominated Sorting Genetic Algorithm-II (NSGA-II) within the generated design space. In order to verify the usefulness of the constructed framework, we applied the nonlinear mathematical function problem. In this study, we can solve the constraints of time in the optimization process for the engineering problem and effective to determine the optimal design was possible. by using the generated framework for optimal shape design based on NRSM. In the future research, we try to apply the optimization problem for Naval Architectural & Ocean Engineering based on the results of this study.
Keywords
Neuro-Response Surface Method (NRSM); Non-dominated Sorting Genetic Algorithm-II (NSGA-II); Optimal Design;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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