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» Evaluating Adaptive Problem Selection
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GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
14 years 16 days ago
Inference of genetic networks using S-system: information criteria for model selection
In this paper we present an evolutionary approach for inferring the structure and dynamics in gene circuits from observed expression kinetics. For representing the regulatory inte...
Nasimul Noman, Hitoshi Iba
EMSOFT
2001
Springer
14 years 1 months ago
Compiler Optimizations for Adaptive EPIC Processors
Abstract. Advances in VLSI technology have lead to a tremendous increase in the density and number of devices that can be manufactured in a single microchip. One of the interesting...
Krishna V. Palem, Surendranath Talla, Weng-Fai Won...
CEC
2008
IEEE
14 years 3 months ago
Automatic model type selection with heterogeneous evolution: An application to RF circuit block modeling
— Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a cost effe...
Dirk Gorissen, Luciano De Tommasi, Jeroen Croon, T...
ADHOCNOW
2009
Springer
14 years 3 months ago
Autonomous Transmission Power Adaptation for Multi-Radio Multi-Channel Wireless Mesh Networks
Multi-Radio Multi-Channel (MRMC) systems are key to power control problems in WMNs. Previous studies have emphasized throughput maximization in such systems as the main design chal...
Thomas O. Olwal, Barend J. van Wyk, Karim Djouani,...
ICPR
2008
IEEE
14 years 10 months ago
Fuzzy rule selection using Iterative Rule Learning for speech data classification
Fuzzy rule base systems have been successfully used for pattern classification. These systems focus on generating a rule-base from numerical input data. The resulting rule-base ca...
Bin Ma, Chng Eng Siong, Haizhou Li, Omid Dehzangi