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TEC
2008
139views more  TEC 2008»
13 years 8 months ago
Genetic Programming Approaches for Solving Elliptic Partial Differential Equations
In this paper, we propose a technique based on genetic programming (GP) for meshfree solution of elliptic partial differential equations. We employ the least-squares collocation pr...
Andras Sobester, Prasanth B. Nair, Andy J. Keane
TITS
2008
116views more  TITS 2008»
13 years 8 months ago
Genetic Programming for the Automatic Design of Controllers for a Surface Ship
Abstract--In this paper, the implementation of genetic programming (GP) to design a controller structure is assessed. GP is used to evolve control strategies that, given the curren...
Eva Alfaro-Cid, Euan William McGookin, David James...
APIN
1998
139views more  APIN 1998»
13 years 8 months ago
Evolutionary Learning of Modular Neural Networks with Genetic Programming
Evolutionary design of neural networks has shown a great potential as a powerful optimization tool. However, most evolutionary neural networks have not taken advantage of the fact ...
Sung-Bae Cho, Katsunori Shimohara
CEC
2010
IEEE
13 years 7 months ago
Active Learning Genetic programming for record deduplication
The great majority of genetic programming (GP) algorithms that deal with the classification problem follow a supervised approach, i.e., they consider that all fitness cases availab...
Junio de Freitas, Gisele L. Pappa, Altigran Soares...
CSREASAM
2010
13 years 5 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...