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» Modified Line Search Method for Global Optimization
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PAKDD
2007
ACM
158views Data Mining» more  PAKDD 2007»
14 years 1 months ago
Density-Sensitive Evolutionary Clustering
In this study, we propose a novel evolutionary algorithm-based clustering method, named density-sensitive evolutionary clustering (DSEC). In DSEC, each individual is a sequence of ...
Maoguo Gong, Licheng Jiao, Ling Wang, Liefeng Bo
JC
2006
61views more  JC 2006»
13 years 7 months ago
The discretized discrepancy principle under general source conditions
We discuss adaptive strategies for choosing regularization parameters in TikhonovPhillips regularization of discretized linear operator equations. Two rules turn out to be entirel...
Peter Mathé, Sergei V. Pereverzev
ISQED
2005
IEEE
119views Hardware» more  ISQED 2005»
14 years 1 months ago
Fast Decap Allocation Algorithm For Robust On-Chip Power Delivery
Adding on-chip decoupling capacitors (decaps) is an effective way to reduce voltage noise in power/ground networks and ensure robust power delivery. In this paper, we present a fa...
Zhenyu Qi, Hang Li, Sheldon X.-D. Tan, Lifeng Wu, ...
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
13 years 11 months ago
Genetic algorithms for positioning and utilizing sensors in synthetically generated landscapes
Positioning multiple sensors for acquisition of a a given environment is one of the fundamental research areas in various fields, such as military scouting, computer vision and ro...
Haluk Topcuoglu, Murat Ermis
ISCC
2006
IEEE
188views Communications» more  ISCC 2006»
14 years 1 months ago
Dejong Function Optimization by Means of a Parallel Approach to Fuzzified Genetic Algorithm
Genetic Algorithms are very powerful search methods that are used in different optimization problems. Parallel versions of genetic algorithms are easily implemented and usually in...
Ebrahim Bagheri, Hossein Deldari