An amoeboid algorithm for solving linear transportation problem Gao,C, Yan,C, Zhang,Z, Hu,Y, Mahadevan,S and Deng,Y 2014, An amoeboid algorithm for solving linear transportation problem, Physica A : Statistical Mechanics and its Applications, vol. 398, pp. 179-186, doi: 10.1016/j.physa.2013.12.023. Attached Files Name Description MIMEType Size Downloads Title An amoeboid algorithm for solving linear transportation problem Author(s) Gao,C Yan,C Zhang,Z orcid.org/0000-0002-8721-9333 Hu,Y Mahadevan,S Deng,Y Journal name Physica A : Statistical Mechanics and its Applications Volume number 398 Start page 179 End page 186 Total pages 8 Publisher Elsevier BV Place of publication Amsterdam, Netherlands Publication date 2014-03-15 ISSN 0378-4371 Keyword(s) Network optimization Physarum polycephalum Physarum solver Transportation problem Science & Technology Physical Sciences Physics, Multidisciplinary Physics GENETIC ALGORITHM NETWORK DESIGN SLIME-MOLD PHYSARUM-PLASMODIUM SHORTEST PATHS OPTIMIZATION ORGANISM MODEL FLOW Summary Transportation 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. Language eng DOI 10.1016/j.physa.2013.12.023 Field of Research 080108 Neural, Evolutionary and Fuzzy Computation Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category C1 Refereed article in a scholarly journal Copyright notice ©2014, Elsevier Persistent URL http://hdl.handle.net/10536/DRO/DU:30071838 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology 2018 ERA Submission Related Links Link Description Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Fri, 27 Mar 2015, 13:50:13 EST Wed, 22 Apr 2015, 14:08:45 EST Wed, 22 Apr 2015, 15:37:20 EST Wed, 22 Apr 2015, 15:49:02 EST Thu, 23 Apr 2015, 11:24:48 EST Thu, 23 Apr 2015, 11:31:02 EST Filtered Full Citation counts:   Cited 18 times in TR Web of Science Cited 19 times in Scopus Search Google Scholar Access Statistics: 530 Abstract Views, 3 File Downloads  -  Detailed Statistics Created: Wed, 22 Apr 2015, 14:08:45 EST