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DAC
1994
ACM
15 years 10 months ago
Optimum Functional Decomposition Using Encoding
In this paper, we revisit the classical problem of functional decomposition [1, 2] that arises so often in logic synthesis. One basic problem that has remained largely unaddressed...
Rajeev Murgai, Robert K. Brayton, Alberto L. Sangi...
CPHYSICS
2006
204views more  CPHYSICS 2006»
15 years 7 months ago
Genetically controlled random search: a global optimization method for continuous multidimensional functions
A new stochastic method for locating the global minimum of a multidimensional function inside a rectangular hyperbox is presented. A sampling technique is employed that makes use ...
Ioannis G. Tsoulos, Isaac E. Lagaris
193
Voted
TNN
1998
254views more  TNN 1998»
15 years 7 months ago
Periodic symmetric functions, serial addition, and multiplication with neural networks
Abstract—This paper investigates threshold based neural networks for periodic symmetric Boolean functions and some related operations. It is shown that any n-input variable perio...
Sorin Cotofana, Stamatis Vassiliadis
236
Voted
KDD
2008
ACM
161views Data Mining» more  KDD 2008»
16 years 7 months ago
Locality sensitive hash functions based on concomitant rank order statistics
: Locality Sensitive Hash functions are invaluable tools for approximate near neighbor problems in high dimensional spaces. In this work, we are focused on LSH schemes where the si...
Kave Eshghi, Shyamsundar Rajaram
GECCO
2005
Springer
232views Optimization» more  GECCO 2005»
16 years 24 days ago
A hardware pipeline for function optimization using genetic algorithms
Genetic Algorithms (GAs) are very commonly used as function optimizers, basically due to their search capability. A number of different serial and parallel versions of GA exist. ...
Malay Kumar Pakhira, Rajat K. De