loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Khaled Shaban 1 ; Abdunnaser Younes 2 ; Nathan Good 2 ; Mohammed Iqbal 2 and Richard Lourenco 2

Affiliations: 1 College of Engineering, Qatar University, Qatar ; 2 Faculty of Engineering, University of Waterloo, Canada

Keyword(s): Hybridized Genetic Algorithm, Cost Estimation, Bridge Maintenance Systems.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems ; Evolutionary Programming

Abstract: A hybridized genetic algorithm is proposed to determine a repair schedule for a network of bridges. The schedule aims for the lowest overall cost while maintaining each bridge at satisfactory quality conditions. Appreciation, deterioration, and cost models are employed to model real-life behaviour. To reduce the computational time, pre-processing algorithms are used to determine an initial genome that is closer to the optimal solution rather than a randomly generated genome. A post-processing algorithm that locates a local optimal solution from the output of the genetic algorithm is employed for further reduction of computational costs. Experimental work was carried out to demonstrate the effectiveness of the proposed approach in determining the bridge repair schedule. The addition of a pre-processing algorithm improves the results if the simulation period is constrained. If the simulation is run sufficiently long all pre-processing algorithms converge to the same optimal solution. I f a pre-processing algorithm is not implemented, however, the simulation period increases significantly. The cost and deterioration tests also indicate that certain pre-processing algorithms are better suited for larger bridge networks. The local search performed on the genetic algorithm output is always seen as a positive add-on to further improve results. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 44.205.5.65

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Shaban, K.; Younes, A.; Good, N.; Iqbal, M. and Lourenco, R. (2010). A HYBRIDIZED GENETIC ALGORITHM FOR COST ESTIMATION IN BRIDGE MAINTENANCE SYSTEMS. In Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 5: ICEIS; ISBN 978-989-8425-05-8; ISSN 2184-4992, SciTePress, pages 428-433. DOI: 10.5220/0002974304280433

@conference{iceis10,
author={Khaled Shaban. and Abdunnaser Younes. and Nathan Good. and Mohammed Iqbal. and Richard Lourenco.},
title={A HYBRIDIZED GENETIC ALGORITHM FOR COST ESTIMATION IN BRIDGE MAINTENANCE SYSTEMS},
booktitle={Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 5: ICEIS},
year={2010},
pages={428-433},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002974304280433},
isbn={978-989-8425-05-8},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 5: ICEIS
TI - A HYBRIDIZED GENETIC ALGORITHM FOR COST ESTIMATION IN BRIDGE MAINTENANCE SYSTEMS
SN - 978-989-8425-05-8
IS - 2184-4992
AU - Shaban, K.
AU - Younes, A.
AU - Good, N.
AU - Iqbal, M.
AU - Lourenco, R.
PY - 2010
SP - 428
EP - 433
DO - 10.5220/0002974304280433
PB - SciTePress