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» Modeling Speculators with Genetic Programming
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TEC
2008
139views more  TEC 2008»
14 years 9 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...
85
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CEC
2010
IEEE
14 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...
PLDI
2009
ACM
15 years 4 months ago
Parallelizing sequential applications on commodity hardware using a low-cost software transactional memory
Multicore designs have emerged as the mainstream design paradigm for the microprocessor industry. Unfortunately, providing multiple cores does not directly translate into performa...
Mojtaba Mehrara, Jeff Hao, Po-Chun Hsu, Scott A. M...
EUROGP
2006
Springer
140views Optimization» more  EUROGP 2006»
15 years 1 months ago
Evolving Noisy Oscillatory Dynamics in Genetic Regulatory Networks
We introduce a genetic programming (GP) approach for evolving genetic networks that demonstrate desired dynamics when simulated as a discrete stochastic process. Our representation...
André Leier, P. Dwight Kuo, Wolfgang Banzha...