A multi-affinity model for logistics network inspired by bio-system

DOI

10.1080/18756891.2013.874174How to use a DOI?

Keywords

bio-system, biological network, logistics network, bio-inspired model, multi-affinity model

Abstract

How can we deal with the increasing scale of large logistics network for the booming economy? The structure, mechanisms and principles upon the logistics network show an evolutionary tendency which is complex, and interesting for designing and optimizing logistics network. The adaptability, stability and evolution capability are attractive for artificial intelligent systems. Inspired by biological systems, the metaphors for the structure and eight primary mechanisms are extracted to design a multi-affinity model for bio-inspired logistics network. Then, by mapping the biological elements and functions to logistics network, the evolutionary structure and simulation approach for logistics network are proposed and investigated by experiments. It is a novel way to study the complexity of logistics network and it is an interesting bionic approach for artificial network model. The research result can be employed to study the emergency features and collective behavior of large-scale logistics network.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Zhi-Hua Hu
AU  - Zhao-Han Sheng
PY  - 2014
DA  - 2014/04/01
TI  - A multi-affinity model for logistics network inspired by bio-system
JO  - International Journal of Computational Intelligence Systems
SP  - 312
EP  - 326
VL  - 7
IS  - 2
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2013.874174
DO  - 10.1080/18756891.2013.874174
ID  - Hu2014
ER  -