Sustainable hub location under mixed uncertainty

M. Mohammadi, S.A. Torabi and R. Tavakkoli-Moghaddam

Transportation Research Part E: Logistics and Transportation Review, 2014, vol. 62, issue C, 89-115

Abstract: This paper addresses a novel sustainable hub location problem (SHLP) in which two new environmental-based cost functions accounting for air and noise pollution of vehicles are incorporated. To cope with uncertain data incorporated in the model, a mixed possibilistic–stochastic programming approach is proposed to construct the crisp counterpart. A simulated annealing (SA) and an imperialist competitive algorithm (ICA) with a new solution representation are developed to solve real-sized instances whose performances are compared with a proposed lower bound. Finally, some computational experiments are provided to demonstrate the effectiveness of the proposed model and solution approaches.

Keywords: Hub location problem; Sustainability; Mixed possibilistic–stochastic programming; Meta-heuristics (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (34)

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DOI: 10.1016/j.tre.2013.12.005

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