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CEC
2003
IEEE
15 years 10 months ago
Evolutionary exploration of dynamic swarm behaviour
Abstract- Dynamic swarm behaviour is difficult to design manually. Multiple, simultaneous interactions among a large number of agents, make the relationship between a parameter cha...
Henry Kwong, Christian Jacob
ESANN
2004
15 years 7 months ago
Evolutionary Optimization of Neural Networks for Face Detection
For face recognition from video streams speed and accuracy are vital aspects. The first decision whether a preprocessed image region represents a human face or not is often made by...
Stefan Wiegand, Christian Igel, Uwe Handmann
172
Voted
ICMAS
1998
15 years 7 months ago
Determining Successful Negotiation Strategies: An Evolutionary Approach
To be successful in open, multi-agent environments, autonomous agents must be capable of adapting their negotiation strategies and tactics to their prevailing circumstances. To th...
Noyda Matos, Carles Sierra, Nicholas R. Jennings
160
Voted
HAIS
2008
Springer
15 years 7 months ago
An Evolutionary Approach for Tuning Artificial Neural Network Parameters
The widespread use of artificial neural networks and the difficult work regarding the correct specification (tuning) of parameters for a given problem are the main aspects that mot...
Leandro M. Almeida, Teresa Bernarda Ludermir
AICOM
2006
105views more  AICOM 2006»
15 years 6 months ago
Evolutionary concept learning in First Order Logic: An overview
This paper presents an overview of recent systems for Inductive Logic Programming (ILP). After a short description of the two popular ILP systems FOIL and Progol, we focus on meth...
Federico Divina