In order to establish a rational bridge management program, it is necessary to develop a cost-effective decision-support system for the maintenance of bridges. In this paper, an attempt is made to develop a new multi-objective genetic algorithm for the bridge management system that can provide practical maintenance plans. Several numerical examples are presented to demonstrate the applicability and efficiency of the proposed method. © 2006 International Federation for Information Processing.
CITATION STYLE
Furuta, H., & Kameda, T. (2006). Application of multi-objective genetic algorithm to bridge maintenance. IFIP International Federation for Information Processing, 199, 139–148. https://doi.org/10.1007/0-387-33006-2_13
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