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» Genetic programming and evolutionary generalization
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ANOR
2005
93views more  ANOR 2005»
14 years 9 months ago
Evolutionary Approaches to DNA Sequencing with Errors
In the paper, two evolutionary approaches to the general DNA sequencing problem, assuming both negative and positive errors in the spectrum, are compared. The older of them is base...
Jacek Blazewicz, Fred Glover, Marta Kasprzak
GECCO
2003
Springer
120views Optimization» more  GECCO 2003»
15 years 2 months ago
Multi-FPGA Systems Synthesis by Means of Evolutionary Computation
Abstract. Multi-FPGA systems (MFS) are used for a great variety of applications, for instance, dynamically re-configurable hardware applications, digital circuit emulation, and num...
José Ignacio Hidalgo, Francisco Ferná...
88
Voted
GECCO
2007
Springer
140views Optimization» more  GECCO 2007»
15 years 3 months ago
Program evolvability under environmental variations and neutrality
Biological organisms employ various mechanisms to cope with the dynamic environments they live in. One recent research reported that depending on the rates of environmental variati...
Tina Yu
80
Voted
CEC
2010
IEEE
14 years 10 months ago
An examination on the modularity of grammars in grammatical evolutionary design
Abstract-- This work furthers the understanding of modularity in grammar-based genetic programming approaches by analyzing how different grammars may be capable of producing the sa...
John Mark Swafford, Michael O'Neill
EPS
1997
Springer
15 years 1 months ago
Performance-Enhanced Genetic Programming
Genetic Programming is increasing in popularity as the basis for a wide range of learning algorithms. However, the technique has to date only been successfully applied to modest t...
Chris Clack, Tina Yu