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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.

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Title An amoeboid algorithm for solving linear transportation problem
Author(s) Gao,C
Yan,C
Zhang,ZORCID iD for 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
Collection: School of Information Technology
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