title: |
Enhanced Competitiveness of Multi-Agent System by Special Algorithm |
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publication: |
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part of series: |
Advances in Intelligent Systems Research | |
ISBN: |
978-90-78677-01-7 | |
ISSN: |
1951-6851 | |
DOI: |
doi:10.2991/jcis.2006.329 (how to use a DOI) | |
author(s): |
Tin Yau Pang, Kwok Yip Szeto |
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corresponding author: |
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publication date: |
October 2006 |
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keywords: |
Multi-Agent Systems, Resource allocation, Strategy, Econophysics. |
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abstract: |
Resource allocation in the econophysics of competing supermarket chains, modelled as a Multi-Agent System is addressed in the context of finding good method to increase the competitiveness of the company in networked economy. A special swapping algorithm which increased the local clustering effects of one Multi-Agent System is introduced and numerical work using Monte Carlo simulation demonstrate its effectiveness in enhancing the speed of market dominance as well as increasing the probability of dominance. Application of this model can be found in the problem of resource allocation of two supermarket chains competing for dominance in a hexagonal lattice, using the statistical mechanics of Ising spin. |
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copyright: |
©
Atlantis Press. This article is distributed under the
terms of the Creative Commons Attribution License, which permits
non-commercial use, distribution and reproduction in any medium,
provided the original work is properly cited. |
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full text: |