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» Combining genetic algorithms with squeaky-wheel optimization
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GECCO
2008
Springer
135views Optimization» more  GECCO 2008»
13 years 8 months ago
Evolving sequence patterns for prediction of sub-cellular locations of eukaryotic proteins
A genetic algorithm (GA) is utilised to discover known and novel PROSITE-like sequence templates that can be used to classify the sub-cellular location of eukaryotic proteins. Whi...
Greg Paperin
HIS
2008
13 years 9 months ago
Using Genetic Algorithm for Hybrid Modes of Collaborative Filtering in Online Recommenders
Online recommenders are usually referred to those used in e-Commerce websites for suggesting a product or service out of many choices. The core technology implemented behind this ...
Simon Fong, Yvonne Ho, Yang Hang
ISQED
2005
IEEE
106views Hardware» more  ISQED 2005»
14 years 1 months ago
Thermal-Aware Floorplanning Using Genetic Algorithms
In this work, we present a genetic algorithm based thermal-aware floorplanning framework that aims at reducing hot spots and distributing temperature evenly across a chip while op...
Wei-Lun Hung, Yuan Xie, Narayanan Vijaykrishnan, C...
GECCO
2006
Springer
122views Optimization» more  GECCO 2006»
13 years 11 months ago
Genetic algorithms are suitable for driving microbial ecosystems in desirable directions
The behavior of natural, biological ecosystems is for a large part determined by environmental conditions. It should therefore be possible to experimentally manipulate such condit...
Frederik P. J. Vandecasteele, Thomas F. Hess, Rona...
EUSFLAT
2001
119views Fuzzy Logic» more  EUSFLAT 2001»
13 years 9 months ago
Optimization of evolutionary strategies to achieve knowledge in faded temporal fuzzy logic controllers
In this document we cany out a comparative analysis of the reasoning strategies implemented in Fuzzy Logic Controllers (hereinafter FLCs) and Faded Temporal Fuzzy Logic Controller...
Manuel A. Gadeo Martos, Juan R. Velasco Pér...