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EUROGP
1999
Springer
166views Optimization» more  EUROGP 1999»
13 years 11 months ago
Adapting the Fitness Function in GP for Data Mining
In this paper we describe how the Stepwise Adaptation of Weights (saw) technique can be applied in genetic programming. The saw-ing mechanism has been originally developed for and ...
Jeroen Eggermont, A. E. Eiben, Jano I. van Hemert
CSREASAM
2010
13 years 4 months ago
Modeling NIDS Evasion with Genetic Programming
Nowadays, Network Intrusion Detection Systems are quickly updated in order to prevent systems against new attacks. This situation has provoked that attackers focus their efforts on...
Sergio Pastrana, Agustín Orfila, Arturo Rib...
ICCS
2007
Springer
13 years 11 months ago
SymGrid-Par: Designing a Framework for Executing Computational Algebra Systems on Computational Grids
Abstract. SymGrid-Par is a new framework for executing large computer algebra problems on computational Grids. We present the design of SymGrid-Par, which supports multiple compute...
Abdallah Al Zain, Kevin Hammond, Philip W. Trinder...
GECCO
2006
Springer
13 years 11 months ago
MOGE: GP classification problem decomposition using multi-objective optimization
A novel approach to classification is proposed in which a Paretobased ranking of individuals is used to encourage multiple individuals to participate in the solution. To do so, th...
Andrew R. McIntyre, Malcolm I. Heywood
GECCO
2003
Springer
112views Optimization» more  GECCO 2003»
14 years 23 days ago
Multi-agent Learning of Heterogeneous Robots by Evolutionary Subsumption
Abstract. Many multi-robot systems are heterogeneous cooperative systems, systems consisting of different species of robots cooperating with each other to achieve a common goal. T...
Hongwei Liu, Hitoshi Iba