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CIBCB
2005
IEEE
14 years 2 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
ICNC
2009
Springer
14 years 1 months ago
Vehicle Routing Problem with Time Windows: A Hybrid Particle Swarm Optimization Approach
Vehicle routing problem (VRP) is a well-known combinatorial optimization and nonlinear programming problem seeking to service a number of customers with a fleet of vehicles. This ...
Xiaoxiang Liu, Weigang Jiang, Jianwen Xie
ICANNGA
2007
Springer
129views Algorithms» more  ICANNGA 2007»
14 years 21 days ago
Multi-class Support Vector Machines Based on Arranged Decision Graphs and Particle Swarm Optimization for Model Selection
Abstract. The use of support vector machines for multi-category problems is still an open field to research. Most of the published works use the one-against-rest strategy, but with...
Javier Acevedo, Saturnino Maldonado-Bascón,...
CEC
2007
IEEE
14 years 25 days ago
Mobile robot global localization using differential evolution and particle swarm optimization
For a mobile robot to move in a known environment and operate successfully, first it needs to robustly determine its initial position and orientation relative to the map, and then ...
Ali R. Vahdat, Naser NourAshrafoddin, Saeed Shiry ...
ICPR
2008
IEEE
14 years 3 months ago
Comparison of Particle Swarm Optimization and Genetic Algorithm for HMM training
Hidden Markov Model (HMM) is the dominant technology in speech recognition. The problem of optimizing model parameters is of great interest to the researchers in this area. The Ba...
Fengqin Yang, Changhai Zhang, Tieli Sun