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EUROGP
2010
Springer
160views Optimization» more  EUROGP 2010»
15 years 5 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
2010
Springer
169views Optimization» more  GECCO 2010»
15 years 5 months ago
Robust symbolic regression with affine arithmetic
We use affine arithmetic to improve both the performance and the robustness of genetic programming for symbolic regression. During evolution, we use affine arithmetic to analyze e...
Cassio Pennachin, Moshe Looks, João A. de V...
GECCO
2005
Springer
131views Optimization» more  GECCO 2005»
15 years 7 months ago
Multipopulation cooperative coevolutionary programming (MCCP) to enhance design innovation
This paper describes the development of an evolutionary algorithm called Multipopulation Cooperative Coevolutionary Programming (MCCP) that extends Genetic Programming (GP) to sea...
Emily M. Zechman, S. Ranji Ranjithan
IJNSEC
2007
119views more  IJNSEC 2007»
15 years 1 months ago
Evolutionary Design of Intrusion Detection Programs
Intrusion detection is the process of monitoring the events occurring in a computer system or network and analyzing them for signs of intrusions, defined as attempts to compromis...
Ajith Abraham, Crina Grosan, Carlos Martín-...
GECCO
2004
Springer
140views Optimization» more  GECCO 2004»
15 years 7 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