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GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
14 years 2 months ago
An experimental analysis of evolution strategies and particle swarm optimisers using design of experiments
The success of evolutionary algorithms (EAs) depends crucially on finding suitable parameter settings. Doing this by hand is a very time consuming job without the guarantee to ...
Oliver Kramer, Bartek Gloger, Andreas Goebels
TEC
2010
191views more  TEC 2010»
13 years 3 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
126views Optimization» more  GECCO 2008»
13 years 9 months ago
Swarm intelligence in e-learning: a learning object sequencing agent based on competencies
In e-learning initiatives content creators are usually required to arrange a set of learning resources in order to present them in a comprehensive way to the learner. Course mater...
Luis de Marcos, José-Javier Martínez...
GECCO
2009
Springer
131views Optimization» more  GECCO 2009»
14 years 1 months ago
Rapid prototyping using evolutionary approaches: part 1
In this paper we describe a multi-objective problem solving approach, simultaneously minimizing average surface roughness Ra and build Time T, for object manufacturing by Rapid Pr...
Nikhil Padhye, Subodh Kalia
GECCO
2007
Springer
138views Optimization» more  GECCO 2007»
14 years 2 months ago
A particle swarm algorithm for symbols detection in wideband spatial multiplexing systems
This paper explores the application of the particle swarm algorithm for a NP-hard problem in the area of wireless communications. The specific problem is of detecting symbols in a...
Adnan Ahmed Khan, Muhammad Naeem, Syed Ismail Shah