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Content Provider | IEEE Xplore Digital Library |
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Author | Song Dan Huang Xiao-yan |
Copyright Year | 2007 |
Description | Author affiliation: Dalian Univ. of Technol., Dalian (Song Dan) |
Abstract | The price structure of the bankcard network is vital in deciding the prosperity of the bankcard transaction market. In order to obtain the optimal price structure of the bankcard network, a constraint optimization model is constructed and the particle swarm optimization (PSO) algorithm is introduced and improved by adding a perturbation factor, adopting double fitness value and keeping some unsuitable solutions near the boundary. By applying the improved PSO algorithm, the optimal solution is given and the policy implication is provided to promote the development of the bankcard network. Simultaneously, the improved PSO algorithm is proved to be an effective and efficient way to solve the constraint optimal problems. |
Starting Page | 1666 |
Ending Page | 1673 |
File Size | 3644515 |
Page Count | 8 |
File Format | |
ISBN | 9787560322780 |
DOI | 10.1109/ICMSE.2007.4422082 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2007-08-20 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | HARBIN INSTITUTE OF TEC |
Subject Keyword | Educational programs bankcard network Costs price structure Conference management optimization model particle swarm optimization Particle swarm optimization Lagrangian functions Genetic algorithms Constraint optimization Technology management Engineering management Systems engineering and theory |
Content Type | Text |
Resource Type | Article |
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