Filomat 2018 Volume 32, Issue 5, Pages: 1747-1755
https://doi.org/10.2298/FIL1805747W
Full text ( 301 KB)
Bi-level chance constraint programming model for hazardous materials distribution
Wang Zhanzhong
Zhao Liying
Cao Ningbo
Chen Mingtao
With the growing presence of hazardous materials in daily life, a large
number of institutions and scholars have been paying close attention to this
field, providing new directions for exploring hazardous materials
distribution patterns. This paper employs two fuzzy random variables,
transportation cost and risk, to put forward a bi-level minimum objective
programming model with a chance measure constraint within a specified chance
level. The lower level is to seek minimum transportation costs and the upper
level is for minimum risk. The model presented in this article
simultaneously designs the hybrid algorithm, which is the combination of the
fuzzy random simulation with the genetic algorithm. In the end, a smallscale
instance is given to account for the efficiency of the presented model and
algorithm, and the best distribution solution is presented.
Keywords: hazardous materials distribution patterns, fuzzy random variable, hybrid algorithm, bi-level minimum objective programming model, best solution