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Arsalan Rahmani

Arsalan Rahmani

Academic rank: Assistant Professor
ORCID:
Education: PhD.
ScopusId: 55881268200
HIndex:
Faculty: Faculty of Science
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Research

Title
A stochastic multiple cross-ducking closed-open vehicle routing with time window
Type
Presentation
Keywords
Multiple Crossducking Vehicle routing problem; Stochastic programming; Robust optimization; Hybrid firefly Algorithm
Year
2018
Researchers Arsalan Rahmani ، Fatemeh Azizi

Abstract

In this paper, we consider multi- crossducking vehicle routing problem (MCVRP) and close–open mixed vehicle routing problem (COMVRP) in the stochastic environment. We supposed that the fleet of vehicles is heterogeneous. Minimizing the total cost of serving customers is the objective of the prob- lem. We assume that the travel time between retailers nodes are nondeterministic. Firstly the new mathematical model is proposed and then we develop a hybrid solution methodology encompasses ro- bust optimization, firefly and genetic algorithm. Computational results demonstrate that the proposed algorithm can efficiently be used to solve the proposed model.