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IJON
2000
105views more  IJON 2000»
15 years 4 months ago
G-Prop: Global optimization of multilayer perceptrons using GAs
A general problem in model selection is to obtain the right parameters that make a model "t observed data. For a multilayer perceptron (MLP) trained with back-propagation (BP...
Pedro A. Castillo Valdivieso, Juan J. Merelo Guerv...
ASPDAC
2005
ACM
117views Hardware» more  ASPDAC 2005»
15 years 10 months ago
Dynamic symmetry-breaking for improved Boolean optimization
With impressive progress in Boolean Satisfiability (SAT) solving and several extensions to pseudo-Boolean (PB) constraints, many applications that use SAT, such as highperformanc...
Fadi A. Aloul, Arathi Ramani, Igor L. Markov, Kare...
128
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ICS
2001
Tsinghua U.
15 years 9 months ago
Optimizing strategies for telescoping languages: procedure strength reduction and procedure vectorization
At Rice University, we have undertaken a project to construct a framework for generating high-level problem solving languages that can achieve high performance on a variety of pla...
Arun Chauhan, Ken Kennedy
ISQED
2007
IEEE
124views Hardware» more  ISQED 2007»
15 years 10 months ago
Multi-Dimensional Circuit and Micro-Architecture Level Optimization
This paper studies multi-dimensional optimization at both circuit and micro-architecture levels. By formulating and solving the optimization problem with conflicting design objec...
Zhenyu Qi, Matthew M. Ziegler, Stephen V. Kosonock...
GECCO
2007
Springer
142views Optimization» more  GECCO 2007»
15 years 10 months ago
Improving global numerical optimization using a search-space reduction algorithm
We have developed an algorithm for reduction of search-space, called Domain Optimization Algorithm (DOA), applied to global optimization. This approach can efficiently eliminate ...
Vinicius Veloso de Melo, Alexandre C. B. Delbem, D...