2005 International Conference on Intelligent Sensors, Sensor Networks and Information Processing 2005
DOI: 10.1109/issnip.2005.1595599
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Particle Swarm Optimisers for Cluster formation in Wireless Sensor Networks

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Cited by 84 publications
(53 citation statements)
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“…The PSO method is popular owing to its simplicity in implementation, ability to rapidly converge to a "reasonably good" solution and to "steer clear" of local minima. It has been successfully applied to wide-ranging optimisation problems, see van der Merwe and Engelbrecht [2003], Ratnaweera et al [2004], Omran [2005], Guru et al [2005], Soo et al [2007]. We apply the PSO algorithm to find the minimum of (31).…”
Section: Choosing Regularization Parameters By Optimizing the Loomse mentioning
confidence: 99%
“…The PSO method is popular owing to its simplicity in implementation, ability to rapidly converge to a "reasonably good" solution and to "steer clear" of local minima. It has been successfully applied to wide-ranging optimisation problems, see van der Merwe and Engelbrecht [2003], Ratnaweera et al [2004], Omran [2005], Guru et al [2005], Soo et al [2007]. We apply the PSO algorithm to find the minimum of (31).…”
Section: Choosing Regularization Parameters By Optimizing the Loomse mentioning
confidence: 99%
“…That is, if a particle is outside the search space, it is moved back inside the search space randomly, rather than forcing it to stay at the border [14].…”
Section: Algorithm Flopsmentioning
confidence: 99%
“…The PSO method is popular owing to its simplicity in implementation, ability to rapidly converge to a ''reasonably good'' solution and to ''steer clear'' of local minima. It has been successfully applied to wide-ranging optimization problems [34][35][36][37][38]. In order to satisfy the shaping parameter constraints, the normalisation are applied in PSO as appropriate.…”
Section: Introductionmentioning
confidence: 99%