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CIBCB
2005
IEEE
14 years 1 months ago
Feature Selection for Microarray Data Using Least Squares SVM and Particle Swarm Optimization
Feature selection is an important preprocessing technique for many pattern recognition problems. When the number of features is very large while the number of samples is relatively...
E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao
ISICA
2007
Springer
14 years 1 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
IROS
2009
IEEE
199views Robotics» more  IROS 2009»
14 years 2 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
JCIT
2007
174views more  JCIT 2007»
13 years 7 months ago
Scheduling of scientific workflows using Discrete PSO Algorithm for Grids
Grid computing systems utilize distributive owned and geographically dispersed resources for providing a wide variety of services for various applications. It is possible that the...
Shajulin Benedict V. Vasudevan
CLUSTER
2008
IEEE
14 years 2 months ago
A comparison of search heuristics for empirical code optimization
—This paper describes the application of various search techniques to the problem of automatic empirical code optimization. The search process is a critical aspect of auto-tuning...
Keith Seymour, Haihang You, Jack Dongarra