MULTI-OBJECTIVE VRP WITH STOCHASTIC TIME AND FUZZY DEMAND UNDER TIME WINDOWS CONSTRAINTS

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DEHBARI S.; POURROUSTA A.R.; NADERI BENI M.; GHOBADIAN E.; TAVAKKOLI MOGHADDAM R.

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Journal: Journal of Operational Research in its Applications Year:2013 | Volume:9 | Issue:4 (35) Page(s): 85-106

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Title

MULTI-OBJECTIVE VRP WITH STOCHASTIC TIME AND FUZZY DEMAND UNDER TIME WINDOWS CONSTRAINTS

Author(s)

Keywords

VEHICLE ROUTING PROBLEMQ3

FUZZY DEMANDQ3

IMPERIALIST COMPETITIVE ALGORITHMQ2

MULTI-OBJECTIVE OPTIMIZATIONQ2

Abstract

Transportation plays a key role in economic, production and service provider systems and has a high effect in GNP scale of each country. Therefore, researchers try to omit the unnecessary paths in order to minimize the traversed links in the network. On the other hand, distribution is an important issue in production industry because it has been estimated that 20 percent of final price is spent on transportation. Improving the distribution system of each company leads the higher productivity. VEHICLE ROUTING PROBLEM (VRP) tries to improve the distribution system. In this paper, demand of customer is considered as a fuzzy variable and transportation time between nodes is also assumed to have a probability distribution. Due to the complexity of the model, a new multi-objective IMPERIALIST COMPETITIVE ALGORITHM (MOICA) is developed for obtaining Pareto optimal solutions. The performance of the proposed solution algorithm is compared with that of two well-known meta-heuristics, namely, non-dominated sorting genetic algorithm (NSGA-II) and Pareto archive evolution strategy (PAES). Computational results show that MOICA outperforms the other meta-heuristics.

Cites

THE SIMULATION OF ESFAHAN STEEL COMPANY LOADING AND UNLOADING SYSTEM LEADING TO A DECREASE IN THE STAY AND WAIT TIMES OF ARRIVED-IN TRUCKS FOR LOADING THE FINAL PRODUCT

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APA: Copy

DEHBARI, S., POURROUSTA, A.R., NADERI BENI, M., GHOBADIAN, E., & TAVAKKOLI MOGHADDAM, R.. (2013). MULTI-OBJECTIVE VRP WITH STOCHASTIC TIME AND FUZZY DEMAND UNDER TIME WINDOWS CONSTRAINTS. JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS), 9(4 (35)), 85-106. SID. https://sid.ir/paper/164722/en

Vancouver: Copy

DEHBARI S., POURROUSTA A.R., NADERI BENI M., GHOBADIAN E., TAVAKKOLI MOGHADDAM R.. MULTI-OBJECTIVE VRP WITH STOCHASTIC TIME AND FUZZY DEMAND UNDER TIME WINDOWS CONSTRAINTS. JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS)[Internet]. 2013;9(4 (35)):85-106. Available from: https://sid.ir/paper/164722/en

IEEE: Copy

S. DEHBARI, A.R. POURROUSTA, M. NADERI BENI, E. GHOBADIAN, and R. TAVAKKOLI MOGHADDAM, “MULTI-OBJECTIVE VRP WITH STOCHASTIC TIME AND FUZZY DEMAND UNDER TIME WINDOWS CONSTRAINTS,” JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS), vol. 9, no. 4 (35), pp. 85–106, 2013, [Online]. Available: https://sid.ir/paper/164722/en

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