An amoeboid algorithm for solving linear transportation problem
journal contribution
posted on 2014-03-15, 00:00 authored by C Gao, C Yan, Zili ZhangZili Zhang, Y Hu, S Mahadevan, Y DengTransportation Problem (TP) is one of the basic operational research problems, which plays an important role in many practical applications. In this paper, a bio-inspired mathematical model is proposed to handle the Linear Transportation Problem (LTP) in directed networks by modifying the original amoeba model Physarum Solver. Several examples are used to prove that the provided model can effectively solve Balanced Transportation Problem (BTP), Unbalanced Transportation Problem (UTP), especially the Generalized Transportation Problem (GTP), in a nondiscrete way. © 2013 Elsevier B.V. All rights reserved.
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Journal
Physica A: Statistical Mechanics and its ApplicationsVolume
398Pagination
179-186Location
Amsterdam, NetherlandsISSN
0378-4371Language
engPublication classification
C1 Refereed article in a scholarly journalCopyright notice
2014, ElsevierPublisher
ElsevierUsage metrics
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Keywords
Network optimizationPhysarum polycephalumPhysarum solverTransportation problemScience & TechnologyPhysical SciencesPhysics, MultidisciplinaryPhysicsGENETIC ALGORITHMNETWORK DESIGNSLIME-MOLDPHYSARUM-PLASMODIUMSHORTEST PATHSOPTIMIZATIONORGANISMMODELFLOW080108 Neural, Evolutionary and Fuzzy Computation970108 Expanding Knowledge in the Information and Computing SciencesSchool of Information Technology
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