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GECCO
2005
Springer
134views Optimization» more  GECCO 2005»
13 years 11 months ago
Tracking extrema in dynamic environments using a coevolutionary agent-based model of genotype edition
Typical applications of evolutionary optimization in static environments involve the approximation of the extrema of functions. For dynamic environments, the interest is not to lo...
Chien-Feng Huang, Luis Mateus Rocha
AE
2007
Springer
13 years 11 months ago
The Cooperative Royal Road: Avoiding Hitchhiking
We propose using the so called Royal Road functions as test functions for cooperative co-evolutionary algorithms (CCEAs). The Royal Road functions were created in the early 90’s ...
Gabriela Ochoa, Evelyne Lutton, Edmund K. Burke
GECCO
2004
Springer
135views Optimization» more  GECCO 2004»
13 years 10 months ago
CellNet Co-Ev: Evolving Better Pattern Recognizers Using Competitive Co-evolution
A model for the co-evolution of patterns and classifiers is presented. The CellNet system for generating binary classifiers is used as a base for experimentation. The CellNet syste...
Taras Kowaliw, Nawwaf N. Kharma, Chris Jensen, Hus...
AWIC
2003
Springer
13 years 10 months ago
Secure Intelligent Agents Based on Formal Description Techniques
This paper describes a practical solution for the incorporation of security services in agents. From a set of basic user requirements, the agents will be able to find out the best ...
L. Mengual, C. de la Puente
GECCO
2008
Springer
155views Optimization» more  GECCO 2008»
13 years 6 months ago
A no-free-lunch framework for coevolution
The No-Free-Lunch theorem is a fundamental result in the field of black-box function optimization. Recent work has shown that coevolution can exhibit free lunches. The question a...
Travis C. Service, Daniel R. Tauritz