Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4942729 | Engineering Applications of Artificial Intelligence | 2017 | 16 Pages |
Abstract
In this paper, we present a new multi-objective model for a hub location problem under uncertainty. This model simultaneously considers economic, responsiveness and social aspects in designing a hub-and-spoke network. An M/M/c queuing system is used to calculate waiting time at each hub node and maximize responsiveness. Employment and regional development are selected as social responsibility measures in the proposed model. Furthermore, a hybrid two-phase solution method is proposed based on possibilistic programming, fuzzy multi-objective programming and an efficient algorithm, called self-adaptive differential evolution algorithm. Finally, several numerical experiments and sensitivity analyses are carried out to assess the proposed model and the solution method.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Mohammad Zhalechian, Reza Tavakkoli-Moghaddam, Yaser Rahimi,