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» On Genetic Algorithms and Lindenmayer Systems
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STOC
1995
ACM
126views Algorithms» more  STOC 1995»
15 years 5 months ago
A computational view of population genetics
This paper contributes tothe study of nonlinear dynamical systems from a computational perspective. These systems are inherently more powerful than their linear counterparts (such...
Yuval Rabani, Yuri Rabinovich, Alistair Sinclair
COMCOM
2007
84views more  COMCOM 2007»
15 years 1 months ago
A genetic approach for adding QoS to distributed virtual environments
Distributed Virtual Environment (DVE) systems have been designed last years as a set of distributed servers. These systems allow a large number of remote users to share a single 3...
Silvia Rueda, Pedro Morillo, Juan M. Orduña...
BMCBI
2010
208views more  BMCBI 2010»
15 years 2 months ago
A multi-filter enhanced genetic ensemble system for gene selection and sample classification of microarray data
Background: Feature selection techniques are critical to the analysis of high dimensional datasets. This is especially true in gene selection from microarray data which are common...
Pengyi Yang, Bing Bing Zhou, Zili Zhang, Albert Y....
GECCO
2007
Springer
213views Optimization» more  GECCO 2007»
15 years 8 months ago
Genetically programmed learning classifier system description and results
An agent population can be evolved in a complex environment to perform various tasks and optimize its job performance using Learning Classifier System (LCS) technology. Due to the...
Gregory Anthony Harrison, Eric W. Worden
MAM
2007
157views more  MAM 2007»
15 years 1 months ago
Executing large algorithms on low-capacity FPGAs using flowpath partitioning and runtime reconfiguration
This paper describes a new method of executing a software program on an FPGA for embedded systems. Rather than combine reconfigurable logic with a microprocessor core, this method...
Darrin M. Hanna, Michael DuChene