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title

Maintenance planning of bridge networks using a binary particle swarm optimization algorithm

Credit to Download: 1 | Page Numbers 13 | Abstract Views: 91
Year: 2017
COI code: IIEC14_013
Paper Language: English

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Authors Maintenance planning of bridge networks using a binary particle swarm optimization algorithm

  farnaz barzinpour - Associate Professor Faculty of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
  zohreh alizadeh elizee - PhD candidate, Faculty of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran

Abstract:

In this research, an integrated model has been proposed to manage maintenance and repair plans for bridges at network level. This model being sensitive to budget constraints aims at obtaining highest utility such that a stated minimum bridge sufficiency rating and health index requirement is met. A sample of 52 bridges was chosen from the bridge inventory of the state of Florida, building a network of 52 bridges for the BPSO to be implemented upon. The proposed model undergoes two different methods; the traditional deterministic solving method and the BPSO met heuristic.It can be observed that the BPSO model can produce fairly near optimal solutions in far less iterations.No doubt when a real size integrated network of bridges with more than 8600 bridges is at hand, the BPSO outperforms the exact solving methods.

Keywords:

binary particle swarm optimization; network level bridge maintenance

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COI code: IIEC14_013

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barzinpour, farnaz & zohreh alizadeh elizee, 2017, Maintenance planning of bridge networks using a binary particle swarm optimization algorithm, 14th International Industrial Engineering Conference, تهران, انجمن مهندسي صنايع ايران - دانشگاه علم و صنعت ايران, https://www.civilica.com/Paper-IIEC14-IIEC14_013.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (barzinpour, farnaz & zohreh alizadeh elizee, 2017)
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Type: state university
Paper No.: 20366
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