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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Thangaraj, R. Pant, M. Deep, K. |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of Paper Technology, Indian Institute of Technology Roorkee, India (Thangaraj, R.; Pant, M.) || Department of Mathematics, Indian Institute of Technology Roorkee, India (Deep, K.) |
| Abstract | This paper investigates the effect of initiating the population with various probability distributions and low discrepancy sequences on the behavior of Particle Swarm Optimization (PSO). The probability distributions: Gaussian, Exponential, Beta and Gamma distribution and the low discrepancy sequences: Van der Corput and Sobol are considered in this study. Based on these probability distributions, six algorithms namely BTPSO, GAPSO, GPSO, EPSO, VCPSO and SOPSO are presented. The proposed algorithms are tested on standard benchmark problems and the results are compared with the basic version of PSO which follows the uniform distribution for initializing the swarm. The simulation results show that a significant improvement can be made in the performance of PSO, by simply changing the distribution of random numbers to other than uniform distribution as the proposed algorithms outperform the basic version by a noticeable percentage. |
| Starting Page | 1121 |
| Ending Page | 1126 |
| File Size | 202129 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424450534 |
| DOI | 10.1109/NABIC.2009.5393814 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-12-09 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Low-discrepancy sequences Probability distributions Stochastic processes Probability distribution Mathematics Paper technology Particle swarm optimization Genetic algorithms Convergence Simulated annealing Benchmark testing Random number generation Particle Swarm Optimization |
| Content Type | Text |
| Resource Type | Article |
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