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GECCO
2004
Springer
148views Optimization» more  GECCO 2004»
14 years 1 months ago
Evolving Local Search Heuristics for SAT Using Genetic Programming
Satisfiability testing (SAT) is a very active area of research today, with numerous real-world applications. We describe CLASS2.0, a genetic programming system for semi-automatica...
Alex S. Fukunaga
CORR
2010
Springer
160views Education» more  CORR 2010»
13 years 8 months ago
PCA 4 DCA: The Application Of Principal Component Analysis To The Dendritic Cell Algorithm
As one of the newest members in the field of artificial immune systems (AIS), the Dendritic Cell Algorithm (DCA) is based on behavioural models of natural dendritic cells (DCs). U...
Feng Gu, Julie Greensmith, Robert Oates, Uwe Aicke...
CODES
2000
IEEE
14 years 27 days ago
Automatic test bench generation for simulation-based validation
In current design practice synthesis tools play a key role, letting designers to concentrate on the specificationof the system being designed by carrying out repetitive tasks such...
Marcello Lajolo, Luciano Lavagno, Maurizio Rebaude...
GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
13 years 6 months ago
Bumblebees: a multiagent combinatorial optimization algorithm inspired by social insect behaviour
This paper introduces a multiagent optimization algorithm inspired by the collective behavior of social insects. In our method, each agent encodes a possible solution of the probl...
Francesc Comellas, Jesus Martinez-Navarro
GECCO
2007
Springer
213views Optimization» more  GECCO 2007»
14 years 2 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