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» Query Optimization by Simulated Annealing
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CEC
2007
IEEE
14 years 2 months ago
Improving generalization capability of neural networks based on simulated annealing
— This paper presents a single-objective and a multiobjective stochastic optimization algorithms for global training of neural networks based on simulated annealing. The algorith...
Yeejin Lee, Jong-Seok Lee, Sun-Young Lee, Cheol Ho...
ICPR
2008
IEEE
14 years 2 months ago
A new multiobjective simulated annealing based clustering technique using stability and symmetry
Most clustering algorithms operate by optimizing (either implicitly or explicitly) a single measure of cluster solution quality. Such methods may perform well on some data sets bu...
Sriparna Saha, Sanghamitra Bandyopadhyay
ENGL
2008
118views more  ENGL 2008»
13 years 8 months ago
Hybrid Architecture of Genetic Algorithm and Simulated Annealing
This paper discusses novel dedicated hardware architecture for hybrid optimization based on Genetic algorithm (GA) and Simulated Annealing (SA). The proposed architecture achieves ...
Masaya Yoshikawa, Hironori Yamauchi, Hidekazu Tera...
AAAI
2008
13 years 10 months ago
From Comparing Clusterings to Combining Clusterings
This paper presents a fast simulated annealing framework for combining multiple clusterings (i.e. clustering ensemble) based on some measures of agreement between partitions, whic...
Zhiwu Lu, Yuxin Peng, Jianguo Xiao
BMCBI
2010
122views more  BMCBI 2010»
13 years 8 months ago
Fast and accurate protein substructure searching with simulated annealing and GPUs
Background: Searching a database of protein structures for matches to a query structure, or occurrences of a structural motif, is an important task in structural biology and bioin...
Alex Stivala, Peter J. Stuckey, Anthony Wirth