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TEC
2010
191views more  TEC 2010»
13 years 2 months ago
Particle Swarm Optimization Aided Orthogonal Forward Regression for Unified Data Modeling
We propose a unified data modeling approach that is equally applicable to supervised regression and classification applications, as well as to unsupervised probability density func...
Sheng Chen, Xia Hong, Chris J. Harris
GECCO
2008
Springer
145views Optimization» more  GECCO 2008»
13 years 8 months ago
An evolutionary approach for competency-based curriculum sequencing
The process of creating e-learning contents using reusable learning objects (LOs) can be broken down in two sub-processes: LOs finding and LO sequencing. Sequencing is usually per...
Luis de Marcos, José-Javier Martínez...
GECCO
2010
Springer
206views Optimization» more  GECCO 2010»
13 years 10 months ago
Development of efficient particle swarm optimizers by using concepts from evolutionary algorithms
Particle swarm optimization (PSO) has been in practice for more than 10 years now and has gained wide popularity in various optimization tasks. In the context to single objective ...
Kalyanmoy Deb, Nikhil Padhye
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
HAIS
2008
Springer
13 years 8 months ago
Extracting Multi-knowledge from fMRI Data through Swarm-Based Rough Set Reduction
Abstract. Functional Magnetic Resonance Imaging (fMRI) data is collected ceaselessly during brain research, which implicates some important information. It need to be extracted and...
Hongbo Liu, Ajith Abraham, Hong Ye