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EUROGP
2010
Springer
160views Optimization» more  EUROGP 2010»
14 years 1 months ago
Fine-Grained Timing Using Genetic Programming
In previous work, we have demonstrated that it is possible to use Genetic Programming to minimise the resource consumption of software, such as its power consumption or execution t...
David Robert White, Juan E. Tapiador, Julio C&eacu...
GECCO
2008
Springer
201views Optimization» more  GECCO 2008»
13 years 10 months ago
Advanced techniques for the creation and propagation of modules in cartesian genetic programming
The choice of an appropriate hardware representation model is key to successful evolution of digital circuits. One of the most popular models is cartesian genetic programming, whi...
Paul Kaufmann, Marco Platzner
GECCO
2006
Springer
180views Optimization» more  GECCO 2006»
14 years 1 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
2010
Springer
158views Optimization» more  GECCO 2010»
14 years 1 months ago
Efficiently evolving programs through the search for novelty
A significant challenge in genetic programming is premature convergence to local optima, which often prevents evolution from solving problems. This paper introduces to genetic pro...
Joel Lehman, Kenneth O. Stanley
IPPS
2005
IEEE
14 years 3 months ago
Desynchronized Pfair Scheduling on Multiprocessors
Pfair scheduling, currently the only known way of optimally scheduling recurrent real-time tasks on multiprocessors, imposes certain requirements that may limit its practical impl...
UmaMaheswari C. Devi, James H. Anderson