433 search results - page 11 / 87 » Dynamic-probabilistic particle swarms |
108
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GECCO
2008
Springer
15 years 23 days ago
2008
Springer
We propose a Particle Filter model that incorporates Particle Swarm Optimization for predicting systems with multiplicative noise. The proposed model employs a conventional multio...
100
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GECCO
2008
Springer
15 years 23 days ago
2008
Springer
We investigate the runtime of the Binary Particle Swarm Optimization (PSO) algorithm introduced by Kennedy and Eberhart (1997). The Binary PSO maintains a global best solution and...
100
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GECCO
2008
Springer
15 years 23 days ago
2008
Springer
This paper proposes a method to use reference points as preferences to guide a particle swarm algorithm to search towards preferred regions of the Pareto front. A decision maker c...
ACCV
2009
Springer
15 years 6 months ago
2009
Springer
Particle filtering is an effective sequential Monte Carlo approach to solve the recursive Bayesian filtering problem in non-linear and non-Gaussian systems. The algorithm is base...
ANTSW
2006
Springer
15 years 3 months ago
2006
Springer
The particle swarm algorithm contains elements which map fairly strongly to the foraging problem in behavioural ecology. In this paper, we show how some simple adaptions to the sta...