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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shih-Cheng Horng Feng-Yi Yang |
| Copyright Year | 2011 |
| Description | Author affiliation: Department of Computer Science & Information Engineering, Chaoyang University of Technology Taichung, Taiwan, R.O.C. (Shih-Cheng Horng) || Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University Taipei, Taiwan, R.O.C. (Feng-Yi Yang) |
| Abstract | In this paper, we combine the particle swarm (PS) with ordinal optimization (OO), abbreviated as CPSOO, to solve for a good enough solution of the stochastic simulation optimization problem (SSOP) with huge search space. First, a rough model using stochastic simulation with a small amount of test samples will be used as a fitness function evaluation in particle swarm optimization (PSO) algorithm to select N roughly good solutions from search space. Next, starting from the selected N roughly good solutions we proceed with goal softening procedure to search for a good enough solution. Finally, the proposed CPSOO algorithm is applied to a centralized broadband wireless network with k-limited service discipline, which is formulated as a SSOP that consists of a huge discrete search space comprised by the vector of k-limited service discipline. The vector of good enough k-limited service discipline obtained by the proposed algorithm is promising in the aspects of solution quality and computational efficiency. |
| Starting Page | 982 |
| Ending Page | 987 |
| File Size | 167127 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781612844879 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-05-15 |
| Publisher Place | Taiwan |
| Access Restriction | Subscribed |
| Rights Holder | Asian Control Association |
| Subject Keyword | particle swarm ordinal optimization stochastic simulation optimization centralized broadband wireless network Computational modeling Wireless networks Stochastic processes k-limited service discipline Search problems Broadband communication Particle swarm optimization Optimization |
| Content Type | Text |
| Resource Type | Article |
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