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GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
16 years 21 days ago
Search-based testing of service level agreements
The diffusion of service oriented architectures introduces the need for novel testing approaches. On the one side, testing must be able to identify failures in the functionality ...
Massimiliano Di Penta, Gerardo Canfora, Gianpiero ...
GECCO
2007
Springer
187views Optimization» more  GECCO 2007»
16 years 21 days ago
Defining implicit objective functions for design problems
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
Sean Hanna
GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
16 years 21 days ago
Action-selection and crossover strategies for self-modeling machines
In previous work [7] a computational framework was demonstrated that employs evolutionary algorithms to automatically model a given system. This is accomplished by alternating the...
Josh C. Bongard
GECCO
2007
Springer
119views Optimization» more  GECCO 2007»
16 years 21 days ago
Optimising the flow of experiments to a robot scientist with multi-objective evolutionary algorithms
A Robot Scientist is a physically implemented system that applies artificial intelligence to autonomously discover new knowledge through cycles of scientific experimentation. Ad...
Emma Byrne
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
16 years 21 days ago
Evolving virtual creatures revisited
Thirteen years have passed since Karl Sims published his work on evolving virtual creatures. Since then, several novel approaches to neural network evolution and genetic algorithm...
Peter Krcah
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