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GECCO
2005
Springer
118views Optimization» more  GECCO 2005»
14 years 1 months ago
The Push3 execution stack and the evolution of control
The Push programming language was developed for use in genetic and evolutionary computation systems, as the representation within which evolving programs are expressed. It has bee...
Lee Spector, Jon Klein, Maarten Keijzer
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
2010
Springer
158views Optimization» more  GECCO 2010»
14 years 11 days ago
A genetic algorithm to improve linux kernel performance on resource-constrained devices
As computers become increasingly mobile, users demand more functionality, longer battery-life, and better performance from mobile devices. In response, chipset fabricators are foc...
James Kukunas, Robert D. Cupper, Gregory M. Kapfha...
CEC
2007
IEEE
13 years 11 months ago
A multi-layered solution for supporting isp traffic demand using genetic algorithm
This paper proposes a unique feedback governed multi layered architectural model to support ISP's traffic demands with multiple Quality of Service(QoS) constraints. The propos...
Gajaruban Kandavanam, Dmitri Botvich, Sasitharan B...
GECCO
2008
Springer
239views Optimization» more  GECCO 2008»
13 years 8 months ago
Multiobjective design of operators that detect points of interest in images
In this paper, a multiobjective (MO) learning approach to image feature extraction is described, where Pareto-optimal interest point (IP) detectors are synthesized using genetic p...
Leonardo Trujillo, Gustavo Olague, Evelyne Lutton,...