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» Particle Swarms for Multimodal Optimization
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IROS
2009
IEEE
199views Robotics» more  IROS 2009»
14 years 3 months ago
Multiswarm Particle Filter for vision based SLAM
Abstract— Particle Filters have been widely used as a powerful optimization tool for nonlinear, non-Gaussian dynamic models such as Simultaneous Localization and Mapping (SLAM) a...
Hee Seok Lee, Kyoung Mu Lee
ISICA
2007
Springer
14 years 3 months ago
Fast Multi-swarm Optimization with Cauchy Mutation and Crossover Operation
The standard Particle Swarm Optimization (PSO) algorithm is a novel evolutionary algorithm in which each particle studies its own previous best solution and the group’s previous ...
Qing Zhang, Changhe Li, Yong Liu, Lishan Kang
GPEM
2006
127views more  GPEM 2006»
13 years 9 months ago
A hierarchical particle swarm optimizer for noisy and dynamic environments
New Particle Swarm Optimization (PSO) methods for dynamic and noisy function optimization are studied in this paper. The new methods are based on the hierarchical PSO (H-PSO) and a...
Stefan Janson, Martin Middendorf
JCIT
2010
255views more  JCIT 2010»
13 years 3 months ago
Digital Watermarking Particle Swarm Optimization Based on Multi-wavelet
Watermark perceptibility and robustness must be ensured in order to enhance the practicality of digital watermarking. Taking human visual system characteristics into account fully...
Yinghui Pan
TEC
2002
183views more  TEC 2002»
13 years 8 months ago
The particle swarm - explosion, stability, and convergence in a multidimensional complex space
Abstract--The particle swarm is an algorithm for finding optimal regions of complex search spaces through the interaction of individuals in a population of particles. Even though t...
Maurice Clerc, James Kennedy