Resource-demand sites planning using a charged particles optimisation algorithm

Resource-demand sites planning using a charged particles optimisation algorithm

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Article ID: iaor20162722
Volume: 24
Issue: 3
Start Page Number: 363
End Page Number: 378
Publication Date: Jun 2016
Journal: International Journal of Services and Operations Management
Authors:
Keywords: combinatorial optimization, demand, location
Abstract:

This paper proposes an extensive model for optimal design and reconfiguration of supply networks. The possibility of including consumers' locations in optimisation is addressed and various conditions such as uncertain (fuzzy) demands and geographical factors are considered. For optimisation task a novel method based on the motion of groups of charged particles is proposed. The proposed algorithm is specialised for supply network location and planning problems in which the resource and demand nodes are modelled as particles with opposite charges.

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