Research on the Vehicle Routing Problem with Fuzzy Demands
Keyword(s):
In this paper, the vehicle routing problem with fuzzy demands is considered, and a fuzzy chance constrained programming mathematical model is established based on fuzzy possibility theory. Then fuzzy simulation and differential evolution algorithm are integrated to design a hybrid intelligent algorithm to solve the fuzzy vehicle routing model. Moreover, under the target that the total driving distance of vehicles is the shortest, the influence of the decision-maker’s preference on the final objective of the problem is discussed using the method of stochastic simulation, and the rational range of the preference number is obtained.
2019 ◽
Vol 237
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pp. 117754
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2020 ◽
Vol 790
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pp. 012083
2020 ◽
Vol 146
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pp. 106571
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2009 ◽
Vol 231
(1)
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pp. 302-310
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2015 ◽
Vol 7
(5)
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pp. 321
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