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» A parameter-less genetic algorithm
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136
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GECCO
2004
Springer
140views Optimization» more  GECCO 2004»
15 years 10 months ago
Keeping the Diversity with Small Populations Using Logic-Based Genetic Programming
We present a new method of Logic-Based Genetic Programming (LBGP). Using the intrinsic mechanism of backtracking in Prolog, we utilize large individual programs with redundant clau...
Ken Taniguchi, Takao Terano
177
Voted
BMCBI
2008
214views more  BMCBI 2008»
15 years 3 months ago
Enhanced Bayesian modelling in BAPS software for learning genetic structures of populations
Background: During the most recent decade many Bayesian statistical models and software for answering questions related to the genetic structure underlying population samples have...
Jukka Corander, Pekka Marttinen, Jukka Siré...
120
Voted
BPM
2005
Springer
126views Business» more  BPM 2005»
15 years 10 months ago
Genetic Process Mining: A Basic Approach and Its Challenges
One of the aims of process mining is to retrieve a process model from a given event log. However, current techniques have problems when mining processes that contain non-trivial co...
Ana Karla A. de Medeiros, A. J. M. M. Weijters, Wi...
ECAL
2005
Springer
15 years 10 months ago
Slime Mould and the Transition to Multicellularity: The Role of the Macrocyst Stage
The transition from unicellular to multicellular organisms is one of the mysteries of evolutionary biology. Individual cells must give up their rights to reproduction and reproduce...
John Bryden
143
Voted
GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
15 years 10 months ago
Distribution replacement: how survival of the worst can out perform survival of the fittest
A new family of "Distribution Replacement” operators for use in steady state genetic algorithms is presented. Distribution replacement enforces the members of the populatio...
Howard Tripp, Phil Palmer