A New Approach to Particle Motion in Swarm Optimization Christopher K. Monson ...  Home/Search
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Abstract: Particle Swarm Optimization is gaining momentum as a simple and e#ective optimization technique. We present a new approach to PSO that significantly reduces the number of iterations required to reach good solutions. In contrast with much recent research, the focus of this work is on fundamental particle motion, making use of the Kalman Filter to update particle positions. This enhances exploration without hurting the ability to converge rapidly to good solutions. (Update)
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BibTeX entry: (Update)
@misc{ to-kalman,
author = "New Approach To",
title = "The Kalman Swarm",
url = "citeseer.ist.psu.edu/753321.html" }
Citations (may not include all citations):384 A new approach to linear filtering and prediction problems (context) - Kalman - 1960
91 Artificial Intelligence: A Modern Approach (context) - Russel, Norvig - 2003 DBLP
63 Particle swarm optimization (context) - Kennedy, Eberhart - 1948
36 Parameter selection in particle swarm optimization (context) - Shi, Eberhart - 1998 ACM DBLP
12 A discrete binary version of the particle swarm algorithm (context) - Kennedy, Eberhart - 1997
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7 Particle swarm optimisation with spatial particle extension (context) - Krink, Vestertroem et al. - 2002
6 Population structure and particle swarm performance (context) - Kennedy, Mendes - 2002
5 Bare bones particle swarms (context) - Kennedy - 2003
5 Small worlds and mega-minds: E#ects of neighborhood topology.. (context) - Kennedy - 1938
4 Division of labor in particle swarm optimisation (context) - Vesterstroem, Riget et al. - 2002
4 Watch thy neighbor or how the swarm can learn from its envir.. (context) - Mendes, Kennedy et al. - 2003
3 Neighborhood topologies in fully-informed and best-ofneighbo.. (context) - Kennedy, Mendes - 2003
3 Dynamic sociometry in particle swarm optimization (context) - Richards, Ventura - 2003
2 Improving particle swarm optimization by hybridization of st.. (context) - Lvbjerg - 2002
2 A diversity-guided particle swarm optimizer - the ARPSO - Riget, Vesterstroem - 2002
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