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» Adaptive Particle Swarm Optimization
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ANTSW
2010
Springer
13 years 5 months ago
Self-organized Task Partitioning in a Swarm of Robots
Abstract. In this work, we propose a method for self-organized adaptive task partitioning in a swarm of robots. Task partitioning refers to the decomposition of a task into less co...
Marco Frison, Nam-Luc Tran, Nadir Baiboun, Arne Br...
ICMCS
2006
IEEE
101views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Power-Aware Particle Filtering for Video Tracking
This paper presents a novel approach to particle filtering which minimizes the total tracking distortion by considering dynamic variance of proposal density and adaptive number o...
Pan Pan, Dan Schonfeld
SWARM
2012
SPRINGER
329views Optimization» more  SWARM 2012»
12 years 3 months ago
A critical analysis of parameter adaptation in ant colony optimization
Applying parameter adaptation means operating on parameters of an algorithm while it is tackling an instance. For ant colony optimization, several parameter adaptation methods have...
Paola Pellegrini, Thomas Stützle, Mauro Birat...
IJCNN
2006
IEEE
14 years 1 months ago
Recurrent Neural Network Based Predictions of Elephant Migration in a South African Game Reserve
Abstract— A large portion of South Africa’s elephant population can be found on small wildlife reserves. When confined to enclosed reserves the elephant densities are much hig...
Parviz Palangpour, Ganesh K. Venayagamoorthy, Kevi...
GECCO
2006
Springer
134views Optimization» more  GECCO 2006»
13 years 11 months ago
PSO and multi-funnel landscapes: how cooperation might limit exploration
Particle Swarm Optimization (PSO) is a population-based optimization method in which search points employ a cooperative strategy to move toward one another. In this paper we show ...
Andrew M. Sutton, Darrell Whitley, Monte Lunacek, ...