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Please use this identifier to cite or link to this item:
http://hdl.handle.net/1783.1/2230
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| Title: | Strategies for resource allocation of two competing companies using genetic algorithm |
| Authors: | Cheung, Wing Keung
Szeto, Kwok-Yip |
| Keywords: | Artificial life
Strategy
Econophysics
Evolutionary algorithm
Monte Carlo |
| Issue Date: | 16-Dec-2004 |
| Citation: | Proceeding of The 5th International Conference on Recent Advances in Soft Computing, RASC2004 Dec 16-18, 2004, Nottingham, UK. p. 416-421, 2004 |
| Abstract: | We investigate various strategic locations of shops in shopping malls in a metropolis with the aim of finding the best strategy for final dominance of market share by a company in a competing environment. The problem is posed in the context of two competing supermarket chains in a metropolis, described in the framework of the two-dimensional Ising model. Evolutionary Algorithm is used to encode the ensemble of initial configurations and Monte Carlo method is used to evolve the pattern. Numerical simulation indicates that initial patterns with certain topological properties do evolve faster to market dominance. The description of these topological properties is given and suggestions are made on the initial pattern so as to evolve faster to market dominance. |
| URI: | http://hdl.handle.net/1783.1/2230 |
| Appears in Collections: | PHYS Conference Papers
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Files in This Item:
| File |
Description |
Size | Format |
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| CheungSzetoRASC20040813.pdf | | 218Kb | Adobe PDF | View/Open |
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