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Life-Cycle Cost Design 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 multi-objective genetic algorithm. A group of bridges is analyzed to demonstrate the applicability and efficiency of the proposed method.
Life-Cycle Cost Design 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 multi-objective genetic algorithm. A group of bridges is analyzed to demonstrate the applicability and efficiency of the proposed method.
Life-Cycle Cost Design Using Improved Multi-Objective Genetic Algorithm
Furuta, Hitoshi (author) / Kameda, Takahiro (author) / Frangopol, Dan M. (author)
17th Analysis and Computation Specialty Conferenc at Structures 2006 ; 2006 ; St. Louis, Missouri, United States
Structures Congress 2006 ; 1-14
2006-10-10
Conference paper
Electronic Resource
English
Genetic Algorithm for Multi-Objective Optimization and Life-Cycle Cost
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