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GECCO
2006
Springer
195views Optimization» more  GECCO 2006»
13 years 11 months ago
Studying XCS/BOA learning in Boolean functions: structure encoding and random Boolean functions
Recently, studies with the XCS classifier system on Boolean functions have shown that in certain types of functions simple crossover operators can lead to disruption and, conseque...
Martin V. Butz, Martin Pelikan
GECCO
2006
Springer
180views Optimization» more  GECCO 2006»
13 years 11 months ago
Growth of self-canceling code in evolutionary systems
This research examines the behavior of inoperative code (introns) in the evolution of genetically robust solutions. Genetically robust solutions are solutions that are less likely...
Xue Zhong, Terence Soule
GECCO
2009
Springer
145views Optimization» more  GECCO 2009»
14 years 6 days ago
Investigating and exploiting the bias of the weighted hypervolume to articulate user preferences
Optimizing the hypervolume indicator within evolutionary multiobjective optimizers has become popular in the last years. Recently, the indicator has been generalized to the weight...
Anne Auger, Johannes Bader, Dimo Brockhoff, Eckart...
GECCO
2005
Springer
130views Optimization» more  GECCO 2005»
14 years 1 months ago
ATNoSFERES revisited
ATNoSFERES is a Pittsburgh style Learning Classifier System (LCS) in which the rules are represented as edges of an Augmented Transition Network. Genotypes are strings of tokens ...
Samuel Landau, Olivier Sigaud, Marc Schoenauer
MIDDLEWARE
2007
Springer
14 years 1 months ago
A piggybacking approach to reduce overhead in sensor network gossiping
Many wireless sensor network protocols are employing gossipbased message dissemination, where nodes probabilistically forward messages, to reduce message overhead. We are concerne...
Ercan Ucan, Nathanael Thompson, Indranil Gupta