Stochastic quality-cost optimization system hybridizing multi-objective genetic algorithm and quality function deployment

This paper introduces an automated tool, the stochastic quality-cost optimization (SQCO) system, that hybridizes multi-objective genetic algorithm (MOGA) and Quality Function Deployment (QFD). The system identifies the optimal trade-off between a construction owner’s satisfaction and a contractor’s...

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Bibliographic Details
Main Authors: Tae-Kyung Lim, Won-Suk Jang, Jae-Ho Choi, Dong-Eun Lee
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2015-03-01
Series:Journal of Civil Engineering and Management
Subjects:
Online Access:http://journals.vgtu.lt/index.php/JCEM/article/view/2932