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» Unsupervised Problem Decomposition Using Genetic Programming
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GECCO
2010
Springer
159views Optimization» more  GECCO 2010»
15 years 2 months ago
Evolution of division of labor in genetically homogenous groups
Within nature, the success of many organisms, including certain species of insects, mammals, slime molds, and bacteria, is attributed to their performance of division of labor, wh...
Heather Goldsby, David B. Knoester, Charles Ofria
79
Voted
ICCS
2007
Springer
15 years 3 months ago
Using Computer Simulation to Understand Mutation Accumulation Dynamics and Genetic Load
Long-standing theoretical concerns about mutation accumulation within the human population can now be addressed with numerical simulation. We apply a biologically realistic forward...
John Sanford, John Baumgardner, Wes Brewer, Paul G...
ISSTA
2006
ACM
15 years 3 months ago
Breaking up is hard to do: an investigation of decomposition for assume-guarantee reasoning
Finite-state verification techniques are often hampered by the stateexplosion problem. One proposed approach for addressing this problem is assume-guarantee reasoning. Using rece...
Jamieson M. Cobleigh, George S. Avrunin, Lori A. C...
ICCBR
2003
Springer
15 years 2 months ago
Using Evolution Programs to Learn Local Similarity Measures
Abstract. The definition of similarity measures is one of the most crucial aspects when developing case-based applications. In particular, when employing similarity measures that ...
Armin Stahl, Thomas Gabel
103
Voted
GPEM
2010
134views more  GPEM 2010»
14 years 8 months ago
An ensemble-based evolutionary framework for coping with distributed intrusion detection
A distributed data mining algorithm to improve the detection accuracy when classifying malicious or unauthorized network activity is presented. The algorithm is based on genetic p...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...