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GECCO
2004
Springer
13 years 10 months ago
Memetic Crossover for Genetic Programming: Evolution Through Imitation
For problems where the evaluation of an individual is the dominant factor in the total computation time of the evolutionary process, minimizing the number of evaluations becomes cr...
Brent E. Eskridge, Dean F. Hougen
GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
13 years 11 months ago
Why evolution is not a good paradigm for program induction: a critique of genetic programming
We revisit the roots of Genetic Programming (i.e. Natural Evolution), and conclude that the mechanisms of the process of evolution (i.e. selection, inheritance and variation) are ...
John R. Woodward, Ruibin Bai
GECCO
2006
Springer
180views Optimization» more  GECCO 2006»
13 years 8 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
BMCBI
2008
135views more  BMCBI 2008»
13 years 5 months ago
Fregene: Simulation of realistic sequence-level data in populations and ascertained samples
Background: FREGENE simulates sequence-level data over large genomic regions in large populations. Because, unlike coalescent simulators, it works forwards through time, it allows...
Marc Chadeau-Hyam, Clive J. Hoggart, Paul F. O'Rei...