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» Techniques for Optimization of Net Algorithms
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GECCO
2005
Springer
288views Optimization» more  GECCO 2005»
15 years 3 months ago
A comparison study between genetic algorithms and bayesian optimize algorithms by novel indices
Genetic Algorithms (GAs) are a search and optimization technique based on the mechanism of evolution. Recently, another sort of population-based optimization method called Estimat...
Naoki Mori, Masayuki Takeda, Keinosuke Matsumoto
ICANN
2009
Springer
15 years 4 months ago
Evolving Memory Cell Structures for Sequence Learning
The best recent supervised sequence learning methods use gradient descent to train networks of miniature nets called memory cells. The most popular cell structure seems somewhat ar...
Justin Bayer, Daan Wierstra, Julian Togelius, J&uu...
CORR
2010
Springer
182views Education» more  CORR 2010»
14 years 9 months ago
SPOT: An R Package For Automatic and Interactive Tuning of Optimization Algorithms by Sequential Parameter Optimization
The sequential parameter optimization (spot) package for R (R Development Core Team, 2008) is a toolbox for tuning and understanding simulation and optimization algorithms. Model-...
Thomas Bartz-Beielstein
ICCAD
2003
IEEE
141views Hardware» more  ICCAD 2003»
15 years 3 months ago
An Enhanced Multilevel Algorithm for Circuit Placement
This paper presents several important enhancements to the recently published multilevel placement package mPL [12]. The improvements include (i) unconstrained quadratic relaxation...
Tony F. Chan, Jason Cong, Tim Kong, Joseph R. Shin...
ICCAD
2001
IEEE
84views Hardware» more  ICCAD 2001»
15 years 6 months ago
Minimum-Buffered Routing of Non-Critical Nets for Slew Rate and Reliability Control
In high-speed digital VLSI design, bounding the load capacitance at gate outputs is a well-known methodology to improve coupling noise immunity, reduce degradation of signal trans...
Charles J. Alpert, Andrew B. Kahng, Bao Liu, Ion I...