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91
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ICPR
2008
IEEE
15 years 8 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
98
Voted
GECCO
2007
Springer
140views Optimization» more  GECCO 2007»
15 years 8 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
CGI
2006
IEEE
15 years 8 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
115
Voted
GECCO
2007
Springer
289views Optimization» more  GECCO 2007»
15 years 8 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,...
GECCO
2006
Springer
181views Optimization» more  GECCO 2006»
15 years 5 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