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An improved artificial bee colony algorithm for pavement resurfacing problem
- Source :
- International Journal of Pavement Research and Technology, Vol 11, Iss 5, Pp 509-516 (2018)
- Publication Year :
- 2018
- Publisher :
- Airiti Press, Inc., 2018.
-
Abstract
- Pavement resurfacing is a maintenance activity that is undertaken to enhance the service life of pavement. This pavement resurfacing activity involves laying a new layer of asphalt concrete over existing pavement after certain time. Due to engineering factors, economic variables and uncertainty in forecasting, the pavement resurfacing decision process is a complicated activity. Various optimization approaches currently used are simplified models for finding optimal frequency and resurfacing intensity within pavement maintenance framework. In this research, artificial bee colony algorithm is proposed to solve this pavement resurfacing optimization problem. This algorithm mimics the collective behaviour of bees while searching for nectar. In this approach, various scenarios are generated, optimality of each case is evaluated, and the information thus generated is used in subsequent evaluation until global optimality is reached. The effectiveness of proposed method is demonstrated through a numerical example. The solution obtained is similar to the exact solution reported in literature. The results indicate optimal resurfacing values can be obtained with little computational effort with proposed approach. The main advantage of proposed algorithm is removal of specification of trigger values for maintenance decision. Keywords: Pavement, Resurfacing, Artificial bee colony, Life cycle cost, Optimization
- Subjects :
- 050210 logistics & transportation
Mathematical optimization
Optimization problem
lcsh:TE1-450
Computer science
business.industry
05 social sciences
Pavement maintenance
02 engineering and technology
Artificial bee colony algorithm
Asphalt concrete
Mechanics of Materials
0502 economics and business
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Decision process
Global optimality
business
lcsh:Highway engineering. Roads and pavements
Intensity (heat transfer)
Civil and Structural Engineering
Subjects
Details
- ISSN :
- 19966814
- Volume :
- 11
- Database :
- OpenAIRE
- Journal :
- International Journal of Pavement Research and Technology
- Accession number :
- edsair.doi.dedup.....51e879d34f3b70d44716c39cd4d05272