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» Evolution of Robustness in Digital Organisms
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GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
14 years 1 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
2008
Springer
175views Optimization» more  GECCO 2008»
13 years 8 months ago
Using differential evolution for symbolic regression and numerical constant creation
One problem that has plagued Genetic Programming (GP) and its derivatives is numerical constant creation. Given a mathematical formula expressed as a tree structure, the leaf node...
Brian M. Cerny, Peter C. Nelson, Chi Zhou
GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
14 years 27 days ago
Introducing a watermarking with a multi-objective genetic algorithm
We propose an evolutionary algorithm for the enhancement of digital semi-fragile watermaking based on the manipulation of the image discrete cosine transform (DCT). The algorithm ...
Diego Sal Díaz, Manuel Grana Romay
EURODAC
1994
IEEE
211views VHDL» more  EURODAC 1994»
13 years 11 months ago
Advanced simulation and modeling techniques for hardware quality verification of digital systems
synchronisation also play a fundamental role in overall system robustness. ElectroMagnetic Compatibility (EMC) and ElectroMagnetic Interference (EMI) issues also have to be conside...
S. Forno, Stephen Rochel
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