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ICIC
2009
Springer
14 years 3 months ago
Function Sequence Genetic Programming
Genetic Programming(GP) can obtain a program structure to solve complex problem. This paper presents a new form of Genetic Programming, Function Sequence Genetic Programming (FSGP)...
Shixian Wang, Yuehui Chen, Peng Wu
DEXA
2001
Springer
151views Database» more  DEXA 2001»
14 years 1 months ago
Cache Conscious Clustering C3
The two main techniques of improving I/O performance of Object Oriented Database Management Systems(OODBMS) are clustering and buffer replacement. Clustering is the placement of o...
Zhen He, Alonso Marquez
EUROGP
2007
Springer
135views Optimization» more  EUROGP 2007»
14 years 3 months ago
A Grammatical Genetic Programming Approach to Modularity in Genetic Algorithms
The ability of Genetic Programming to scale to problems of increasing difficulty operates on the premise that it is possible to capture regularities that exist in a problem environ...
Erik Hemberg, Conor Gilligan, Michael O'Neill, Ant...
GECCO
2004
Springer
118views Optimization» more  GECCO 2004»
14 years 2 months ago
Adapting Representation in Genetic Programming
Genetic Programming uses trees to represent chromosomes. The user defines the representation space by defining the set of functions and terminals to label the nodes in the trees....
Cezary Z. Janikow
DATE
2010
IEEE
129views Hardware» more  DATE 2010»
14 years 1 months ago
A power optimization method for CMOS Op-Amps using sub-space based geometric programming
—— A new sub-space max-monomial modeling scheme for CMOS transistors in sub-micron technologies is proposed to improve the modeling accuracy. Major electrical parameters of CMOS...
Wei Gao, Richard Hornsey