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ICGA
1993
145views Optimization» more  ICGA 1993»
15 years 8 months ago
Genetic Programming of Minimal Neural Nets Using Occam's Razor
A genetic programming method is investigated for optimizing both the architecture and the connection weights of multilayer feedforward neural networks. The genotype of each networ...
Byoung-Tak Zhang, Heinz Mühlenbein
GECCO
2008
Springer
127views Optimization» more  GECCO 2008»
15 years 7 months ago
Denial of service detection and analysis using idiotypic networks paradigm
In this paper we present a novel intrusion detection architecture based on Idiotypic Network Theory (INIDS), that aims at dealing with large scale network attacks featuring variab...
Marek Ostaszewski, Pascal Bouvry, Franciszek Sered...
GECCO
2008
Springer
123views Optimization» more  GECCO 2008»
15 years 7 months ago
On hopeful monsters, neutral networks and junk code in evolving L-systems
This paper investigates L-system evolution through experiments with a simulation platform of virtual plants. The conducted simulations vary the occurrence probability of terminal ...
Stefan Bornhofen, Claude Lattaud
GECCO
2008
Springer
134views Optimization» more  GECCO 2008»
15 years 7 months ago
Branch predictor on-line evolutionary system
In this work a branch prediction system which utilizes evolutionary techniques is introduced. It allows the predictor to adapt to the executed code and thus to improve its perform...
Karel Slany
GECCO
2008
Springer
196views Optimization» more  GECCO 2008»
15 years 7 months ago
A fuzzy-genetic approach to network intrusion detection
Computer networks have expanded significantly in use and numbers. This expansion makes them more vulnerable to attack by malicious agents. Many current intrusion detection systems...
Terrence P. Fries