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JSW
2006
98views more  JSW 2006»
13 years 8 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»
13 years 7 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 7 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 7 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 6 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...