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» Evolution strategies - A comprehensive introduction
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NC
2002
154views Neural Networks» more  NC 2002»
13 years 4 months ago
Evolution strategies - A comprehensive introduction
Hans-Georg Beyer, Hans-Paul Schwefel
CEC
2007
IEEE
13 years 8 months ago
Evolution of classification rules for comprehensible knowledge discovery
This article, which lies within the data mining framework, proposes a method to build classifiers based on the evolution of rules. The method, named REC (Rule Evolution for Classif...
Emiliano Carreno, Guillermo Leguizamón, Nea...
NAR
2008
122views more  NAR 2008»
13 years 4 months ago
PlantTFDB: a comprehensive plant transcription factor database
Transcription factors (TFs) play key roles in controlling gene expression. Systematic identification and annotation of TFs, followed by construction of TF databases may serve as u...
Anyuan Guo, Xin Chen, Ge Gao, He Zhang, Qihui Zhu,...
JUCS
2008
139views more  JUCS 2008»
13 years 4 months ago
Parallel Strategies for Stochastic Evolution
: This paper discusses the parallelization of Stochastic Evolution (StocE) metaheuristic, for a distributed parallel environment. VLSI cell placement is used as an optimization pro...
Sadiq M. Sait, Khawar S. Khan, Mustafa Imran Ali
IPPS
2006
IEEE
13 years 11 months ago
Evaluating parallel simulated evolution strategies for VLSI cell placement
Simulated Evolution (SimE) is an evolutionary metaheuristic that has produced results comparable to well established stochastic heuristics such as SA, TS and GA, with shorter runti...
Sadiq M. Sait, Mustafa I. Ali, Ali Mustafa Zaidi