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Evolutionary multiobjective optimization in engineering management: an empirical application in infrastructure systems

Liu, Chunlu, Yang, Luyu and Xu, Youquan 2006, Evolutionary multiobjective optimization in engineering management: an empirical application in infrastructure systems, in Engineering Management: An Empirical Application in Infrastructure Systems, IEEE Computer Society, Los Alamitos, CA, pp. 1006-1011.

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Title Evolutionary multiobjective optimization in engineering management: an empirical application in infrastructure systems
Author(s) Liu, Chunlu
Yang, Luyu
Xu, Youquan
Conference name International Conference on Intelligent Systems Design and Applications (6th : 2006 : Jinan, Shandong Sheng, China)
Conference location Jinan, China
Conference dates 16-18 October 2006
Title of proceedings Engineering Management: An Empirical Application in Infrastructure Systems
Editor(s) Chen, Yuehui.
Abraham, Ajith
Publication date 2006
Conference series International Conference on Intelligent Systems Design and Applications
Start page 1006
End page 1011
Publisher IEEE Computer Society
Place of publication Los Alamitos, CA
Summary Generally multiple objectives exist in transportation infrastructure management, such as minimum cost and maximum service capacity. Although solution methoak of multiobjective optimization problems have undergone continual development over the part several decades, the methods available to date are not particularly robust, and none of them perform well on the broad classes. Because genetic algorithms work with apopulation ofpoints, they can capture a number of solutions simultaneously, and easily incorporate the concept of a Pareto optimal set in their optimization process. In this paper, a genetic algorithm is modified to deal with an empirical application for the rehabilitation planning of bridge decks, at a network level, by minimizing the rehabilitation cost and deterioration degree simultaneously.
Notes This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
ISBN 0769525288
9780769525280
Language eng
Field of Research 120201 Building Construction Management and Project Planning
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2006, IEEE Computer Society
Persistent URL http://hdl.handle.net/10536/DRO/DU:30005966

Document type: Conference Paper
Collections: School of Architecture and Built Environment
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