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Multi-objective bilevel construction material transportation scheduling in large-scale construction projects under a fuzzy random environment
This paper investigates a transportation scheduling problem in large-scale construction projects under a fuzzy random environment. The problem is formulated as a fuzzy, random multi-objective bilevel optimization model where the construction company decides the transportation quantities from every source to every destination according to the criterion of minimizing total transportation cost and transportation time on the upper level, while the transportation agencies choose their transportation routes such that the total travel cost is minimized on the lower level. Specifically, we model both travel time and travel cost as triangular fuzzy random variables. Then the multi-objective bilevel adaptive particle swarm optimization algorithm is proposed to solve the model. Finally, a case study of transportation scheduling for the Shuibuya Hydropower Project in China is used as a real world example to demonstrate the practicality and efficiency of the optimization model and algorithm.
Multi-objective bilevel construction material transportation scheduling in large-scale construction projects under a fuzzy random environment
This paper investigates a transportation scheduling problem in large-scale construction projects under a fuzzy random environment. The problem is formulated as a fuzzy, random multi-objective bilevel optimization model where the construction company decides the transportation quantities from every source to every destination according to the criterion of minimizing total transportation cost and transportation time on the upper level, while the transportation agencies choose their transportation routes such that the total travel cost is minimized on the lower level. Specifically, we model both travel time and travel cost as triangular fuzzy random variables. Then the multi-objective bilevel adaptive particle swarm optimization algorithm is proposed to solve the model. Finally, a case study of transportation scheduling for the Shuibuya Hydropower Project in China is used as a real world example to demonstrate the practicality and efficiency of the optimization model and algorithm.
Multi-objective bilevel construction material transportation scheduling in large-scale construction projects under a fuzzy random environment
Xu, Jiuping (author) / Gang, Jun (author)
Transportation Planning and Technology ; 36 ; 352-376
2013-06-01
25 pages
Article (Journal)
Electronic Resource
English
Material transportation problems in construction projects under an uncertain environment
Springer Verlag | 2015
|Material transportation problems in construction projects under an uncertain environment
Online Contents | 2015
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