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» Modeling GA Performance for Control Parameter Optimization
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NC
1998
101views Neural Networks» more  NC 1998»
15 years 2 months ago
Evolutionary Optimized Tensor Product Bernstein Polynomials versus Backpropagation Networks
In this paper a new approach for approximation problems involving only few input and output parameters is presented and compared to traditional Backpropagation Neural Networks (BP...
Günther R. Raidl, Gabriele Kodydek
SIGMETRICS
1993
ACM
118views Hardware» more  SIGMETRICS 1993»
15 years 5 months ago
An Analytic Performance Model of Disk Arrays
As disk arrays become widely used, tools for understanding and analyzing their performance become increasingly important. In particular, performance models can be invaluable in bo...
Edward K. Lee, Randy H. Katz
SC
2005
ACM
15 years 7 months ago
Performance Modeling and Tuning Strategies of Mixed Mode Collective Communications
On SMP clusters, mixed mode collective MPI communications, which use shared memory communications within SMP nodes and point-to-point communications between SMP nodes, are more eï...
Meng-Shiou Wu, Ricky A. Kendall, Kyle Wright, Zhao...
ICDCS
2010
IEEE
15 years 5 months ago
Stochastic Steepest-Descent Optimization of Multiple-Objective Mobile Sensor Coverage
—We propose a steepest descent method to compute optimal control parameters for balancing between multiple performance objectives in stateless stochastic scheduling, wherein the ...
Chris Y. T. Ma, David K. Y. Yau, Nung Kwan Yip, Na...
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ICCAD
1997
IEEE
137views Hardware» more  ICCAD 1997»
15 years 5 months ago
Optimization techniques for high-performance digital circuits
The relentless push for high performance in custom digital circuits has led to renewed emphasis on circuit optimization or tuning. The parameters of the optimization are typically...
Chandramouli Visweswariah