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» Evolutionary Approach to Test Generation for Functional BIST
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PRL
2007
200views more  PRL 2007»
13 years 7 months ago
Generative learning of visual concepts using multiobjective genetic programming
This paper introduces a novel method of visual learning based on Genetic Programming, which evolves a population of individuals (image analysis programs) that process attributed v...
Krzysztof Krawiec
EC
2000
187views ECommerce» more  EC 2000»
13 years 7 months ago
Comparison of Multiobjective Evolutionary Algorithms: Empirical Results
In this paper, we provide a systematic comparison of various evolutionary approaches to multiobjective optimization using six carefully chosen test functions. Each test function i...
Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele
EOR
2007
100views more  EOR 2007»
13 years 7 months ago
Parallel radial basis function methods for the global optimization of expensive functions
We introduce a master–worker framework for parallel global optimization of computationally expensive functions using response surface models. In particular, we parallelize two r...
Rommel G. Regis, Christine A. Shoemaker
DATE
2007
IEEE
155views Hardware» more  DATE 2007»
14 years 2 months ago
Design fault directed test generation for microprocessor validation
Functional validation of modern microprocessors is an important and complex problem. One of the problems in functional validation is the generation of test cases that has higher p...
Deepak Mathaikutty, Sandeep K. Shukla, Sreekumar V...
BMCBI
2006
115views more  BMCBI 2006»
13 years 7 months ago
The accuracy of several multiple sequence alignment programs for proteins
Background: There have been many algorithms and software programs implemented for the inference of multiple sequence alignments of protein and DNA sequences. The "true" ...
Paulo A. S. Nuin, Zhouzhi Wang, Elisabeth R. M. Ti...