Optimal bridge maintenance planning using improved multi-objective genetic algorithm

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 bridge management system that can provide practical maintenance plans by using an improved mu...

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Vydané v:Structure and infrastructure engineering Ročník 2; číslo 1; s. 33 - 41
Hlavní autori: Furuta, Hitoshi, Kameda, Takahiro, Nakahara, Koichiro, Takahashi, Yuji, Frangopol, Dan M.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Taylor & Francis Ltd 01.03.2006
Predmet:
Bridge maintenance
Genetic algorithm
Life-cycle cost
Multi-objective optimization
Repair
ISSN:1573-2479, 1744-8980
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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 bridge management system that can provide practical maintenance plans by using an improved multi-objective genetic algorithm. A group of bridges is analyzed to demonstrate the applicability and efficiency of the proposed method.
AbstractList 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 bridge management system that can provide practical maintenance plans by using an improved multi-objective genetic algorithm. A group of bridges is analyzed to demonstrate the applicability and efficiency of the proposed method.
Author Frangopol, Dan M.
Furuta, Hitoshi
Kameda, Takahiro
Nakahara, Koichiro
Takahashi, Yuji
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  givenname: Koichiro
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  organization: Civil Engineering Design Division , Kajima Corporation
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  givenname: Yuji
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  fullname: Takahashi, Yuji
  organization: Civil Engineering Design Division , Kajima Corporation
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  givenname: Dan M.
  surname: Frangopol
  fullname: Frangopol, Dan M.
  organization: Department of Civil, Environmental and Architectural Engineering , University of Colorado, CB 428
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SubjectTerms Bridge maintenance
Genetic algorithm
Life-cycle cost
Multi-objective optimization
Repair
Title Optimal bridge maintenance planning using improved multi-objective genetic algorithm
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