Application of Multi-Objective Genetic Algorithm to Bridge Maintenance

  • H. Furuta
  • T. Kameda
Part of the IFIP International Federation for Information Processing book series (IFIPAICT, volume 199)

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.

keywords

Bridge Maintenance Genetic Algorithm Life-Cycle Cost Multi-Objective Optimization Repair 

References

  1. [1]
    Iri, M. Konno, H. (eds.). Multi-Objective Optimization, Tokyo, Sangyo-tosho (in Japanese). 1982Google Scholar
  2. [2]
    Goldberg, D.E. Genetic Algorithms in Search, Optimization and Machine Learning, Addison Wesley Publishing, 1989.Google Scholar
  3. [3]
    Furuta, H. Sugimoto, H. Applications of Genetic Algorithm to Structural Engineering, Tokyo, Morikita Publishing (in Japanese). 1997.Google Scholar
  4. [4]
    Furuta, H., Kameda, T., Fukuda, Y., and Frangopol, D. M. Life-Cycle Cost Analysis for Infrastructure Systems: Life Cycle Cost vs. Safety Level vs. Service Life, Proceedings of Joint International Workshops LCC03/IABMAS and fip/JCSS, EPFL, Lausanne, March 24–26, 2003, (keynote lecture); in Life-Cycle Performance of Deteriorating Structures: Assessment, Design and Management, Frangopol, D. M., Bruhwiler, E., Faber, M. H. and Adey, B. (eds.), ASCE, Reston, Virginia, 19–25.Google Scholar
  5. [5]
    Furuta, H., Kameda, T. and Frangopol, D. M. Balance of Structural Performance Measures, Proc. of Structures Congress, Nashville, Tennessee, ASCE, May, CD-ROM. 2004 Google Scholar
  6. [6]
    Liu, M. and Frangopol, D.M. (2004b). Optimal Bridge Maintenance Planning Based on Probabilistic Performance Prediction, Engineering Structures, Elsevier, 26(7), 991–1002.CrossRefGoogle Scholar

Copyright information

© International Federation for Information Processing 2006

Authors and Affiliations

  • H. Furuta
    • 1
  • T. Kameda
    • 2
  1. 1.Department of InformaticsKansai UniversityTakatsuki, OsakaJapan
  2. 2.Graduate School of InformaticsKansai UniversityTakatsuki, OsakaJapan

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