Abstract
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.
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© 2006 International Federation for Information Processing
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Furuta, H., Kameda, T. (2006). Application of Multi-Objective Genetic Algorithm to Bridge Maintenance. In: Ceragioli, F., Dontchev, A., Futura, H., Marti, K., Pandolfi, L. (eds) System Modeling and Optimization. CSMO 2005. IFIP International Federation for Information Processing, vol 199. Springer, Boston, MA. https://doi.org/10.1007/0-387-33006-2_13
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DOI: https://doi.org/10.1007/0-387-33006-2_13
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-32774-7
Online ISBN: 978-0-387-33006-8
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