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CORR
2006
Springer
130views Education» more  CORR 2006»
14 years 10 months ago
Genetic Programming for Kernel-based Learning with Co-evolving Subsets Selection
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
Christian Gagné, Marc Schoenauer, Mich&egra...
JSW
2006
98views more  JSW 2006»
14 years 10 months ago
A Jxta Based Asynchronous Peer-to-Peer Implementation of Genetic Programming
Abstract-- Solving complex real-world problems using evolutionary computation is a CPU time-consuming task that requires a large amount of computational resources. Peerto-Peer (P2P...
Gianluigi Folino, Agostino Forestiero, Giandomenic...
TEC
2008
139views more  TEC 2008»
14 years 10 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»
14 years 9 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»
14 years 9 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