Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/76243
Title: Physarum solver : a bio-inspired method for sustainable supply chain network design problem
Authors: Zhang, XG
Adamatzky, A
Chan, FTS 
Mahadevan, S
Deng, Y
Keywords: Supply chain
Physarum
Sustainability
Network design
Decision making
Issue Date: 2017
Publisher: Springer
Source: Annals of operations research, 2017, v. 254, no. 1-2, p. 533-552 How to cite?
Journal: Annals of operations research 
Abstract: A supplier of products and services aims to minimize the capacity investment cost and the operational cost incurred by unwanted byproducts, e.g. carbon dioxide emission. In this paper, we consider a sustainable supply chain network design problem, where the capacity and the product flow along each link are design variables. We formulate it as a multi-criteria optimization problem. A bio-inspired algorithm is developed to tackle this problem. We illustrate how to design a sustainable supply chain network in three steps. First, we develop a generalized model inspired by the foraging behaviour of slime mould Physarum polycephalum to handle the network optimization with multiple sinks. Second, we propose a strategy to update the link cost iteratively, thus making the Physarum model to converge to a user equilibrium. Third, we perform an equivalent operation to transform a system optimum problem into a corresponding user equilibrium problem so that it is solvable in the Physarum model. The efficiency of the proposed algorithm is illustrated with numerical examples.
URI: http://hdl.handle.net/10397/76243
ISSN: 0254-5330
EISSN: 1572-9338
DOI: 10.1007/s10479-017-2410-x
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