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GECCO
2008
Springer
182views Optimization» more  GECCO 2008»
13 years 12 months ago
Avida-MDE: a digital evolution approach to generating models of adaptive software behavior
Increasingly, high-assurance applications rely on autonomic systems to respond to changes in their environment. The inherent uncertainty present in the environment of autonomic sy...
Heather Goldsby, Betty H. C. Cheng
GECCO
2008
Springer
201views Optimization» more  GECCO 2008»
13 years 12 months ago
Advanced techniques for the creation and propagation of modules in cartesian genetic programming
The choice of an appropriate hardware representation model is key to successful evolution of digital circuits. One of the most popular models is cartesian genetic programming, whi...
Paul Kaufmann, Marco Platzner
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
13 years 12 months ago
A hybrid method for tuning neural network for time series forecasting
This paper presents an study about a new Hybrid method GRASPES - for time series prediction, inspired in F. Takens theorem and based on a multi-start metaheuristic for combinatori...
Aranildo Rodrigues Lima Junior, Tiago Alessandro E...
GECCO
2008
Springer
154views Optimization» more  GECCO 2008»
13 years 12 months ago
Cooperative network construction using digital germlines
This paper describes a study in the evolution of cooperative behavior, specifically the construction of communication networks, through digital evolution and multilevel selection...
David B. Knoester, Philip K. McKinley, Charles Ofr...
GECCO
2008
Springer
111views Optimization» more  GECCO 2008»
13 years 12 months ago
Multi-task code reuse in genetic programming
We propose a method of knowledge reuse between evolutionary processes that solve different optimization tasks. We define the method in the framework of tree-based genetic progra...
Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wie...