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.
International Conference on Intelligent Systems Design and Applications
IEEE Computer Society
Place of publication
Los Alamitos, CA
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.
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Field of Research
120201 Building Construction Management and Project Planning
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