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» Morphing methods in evolutionary design optimization
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GECCO
2009
Springer
156views Optimization» more  GECCO 2009»
14 years 5 months ago
Insight knowledge in search based software testing
Software testing can be re-formulated as a search problem, hence search algorithms (e.g., Genetic Algorithms) can be used to tackle it. Most of the research so far has been of emp...
Andrea Arcuri
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
14 years 5 months 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
IPPS
2006
IEEE
14 years 4 months ago
Parallel genetic algorithm for SPICE model parameter extraction
Models of simulation program with integrated circuit emphasis (SPICE) are currently playing a central role in the connection between circuit design and chip fabrication communitie...
Yiming Li, Yen-Yu Cho
GECCO
2007
Springer
213views Optimization» more  GECCO 2007»
14 years 5 months ago
Genetically programmed learning classifier system description and results
An agent population can be evolved in a complex environment to perform various tasks and optimize its job performance using Learning Classifier System (LCS) technology. Due to the...
Gregory Anthony Harrison, Eric W. Worden
JSAC
2010
153views more  JSAC 2010»
13 years 5 months ago
Autonomic traffic engineering for network robustness
Abstract--The continuously increasing complexity of communication networks and the increasing diversity and unpredictability of traffic demand has led to a consensus view that the ...
Ali Tizghadam, Alberto Leon-Garcia