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CEC
2010
IEEE
14 years 3 months ago
Discriminating normal and cancerous thyroid cell lines using implicit context representation Cartesian genetic programming
Abstract— In this paper, we describe a method for discriminating between thyroid cell lines. Five commercial thyroid cell lines were obtained, ranging from non-cancerous to cance...
Michael A. Lones, Stephen L. Smith, Andrew T. Harr...
GECCO
2004
Springer
118views Optimization» more  GECCO 2004»
15 years 5 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
105
Voted
PPSN
1994
Springer
15 years 3 months ago
A Representation Scheme To Perform Program Induction in a Canonical Genetic Algorithm
This paper studies Genetic Programming (GP) and its relation to the Genetic Algorithm (GA). GP uses a GA approach to breed successive populations of programs, represented in the ch...
Mark Wineberg, Franz Oppacher
ICES
2003
Springer
93views Hardware» more  ICES 2003»
15 years 4 months ago
A Genetic Representation for Evolutionary Fault Recovery in Virtex FPGAs
Most evolutionary approaches to fault recovery in FPGAs focus on evolving alternative logic configurations as opposed to evolving the intra-cell routing. Since the majority of tra...
Jason D. Lohn, Gregory V. Larchev, Ronald F. DeMar...
GECCO
2006
Springer
190views Optimization» more  GECCO 2006»
15 years 3 months ago
Design synthesis of microelectromechanical systems using genetic algorithms with component-based genotype representation
An automated design synthesis system based on a multi-objective genetic algorithm (MOGA) has been developed for the optimization of surface-micromachined MEMS devices. A hierarchi...
Ying Zhang, Raffi R. Kamalian, Alice M. Agogino, C...