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109
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ICPR
2008
IEEE
15 years 10 months ago
Modulation-domain particle filter for template tracking
Particle filters provide a robust framework for nonlinear and non-Gaussian estimation problems. In this paper, we present a method to incorporate dominant modulation-domain (Ampl...
R. Senthil Prakash, Rangarajan Aravind
GECCO
2007
Springer
140views Optimization» more  GECCO 2007»
15 years 10 months ago
On the moments of the sampling distribution of particle swarm optimisers
A method is presented that allows one to exactly determine all the characteristics of a PSO’s sampling distribution and explain how it changes over time, in the presence stochas...
Riccardo Poli
117
Voted
CGI
2006
IEEE
15 years 9 months ago
Controllable Multi-phase Smoke with Lagrangian Particles
This paper describes a method for controlling the multi-phase smoke animation that uses Lagrangian particles. Previous methods need several density fields to simulate different typ...
Byung-Seok Roh, Chang-Hun Kim
133
Voted
GECCO
2007
Springer
289views Optimization» more  GECCO 2007»
15 years 10 months ago
A discrete particle swarm optimization algorithm for the generalized traveling salesman problem
Dividing the set of nodes into clusters in the well-known traveling salesman problem results in the generalized traveling salesman problem which seeking a tour with minimum cost p...
Mehmet Fatih Tasgetiren, Ponnuthurai N. Suganthan,...
144
Voted
GECCO
2006
Springer
181views Optimization» more  GECCO 2006»
15 years 7 months ago
Particle swarm with speciation and adaptation in a dynamic environment
This paper describes an extension to a speciation-based particle swarm optimizer (SPSO) to improve performance in dynamic environments. The improved SPSO has adopted several prove...
Xiaodong Li, Jürgen Branke, Tim Blackwell