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CEC
2005
IEEE
14 years 2 months ago
FPGA segmented channel routing using genetic algorithms
A genetic algorithm approach for segmented channel routing in field programmable gate arrays (FPGA's) is presented in this paper. The FPGA segmented channel routing problem (F...
Lipo Wang, Lei Zhou, Wen Liu
GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
14 years 2 months ago
Nonlinear feature extraction using a neuro genetic hybrid
Feature extraction is a process that extracts salient features from observed variables. It is considered a promising alternative to overcome the problems of weight and structure o...
Yung-Keun Kwon, Byung Ro Moon
IWANN
1995
Springer
14 years 6 days ago
Test Pattern Generation for Analog Circuits Using Neural Networks and Evolutive Algorithms
This paper presents a comparative analysis of neural networks, simulated annealing, and genetic algorithms in the determination of input patterns for testing analog circuits. The ...
José Luis Bernier, Juan J. Merelo Guerv&oac...
EOR
2008
133views more  EOR 2008»
13 years 8 months ago
Investigating a hybrid simulated annealing and local search algorithm for constrained optimization
Constrained Optimization Problems (COP) often take place in many practical applications such as kinematics, chemical process optimization, power systems and so on. These problems ...
Chandra Sekhar Pedamallu, Linet Özdamar
JSS
2010
104views more  JSS 2010»
13 years 3 months ago
Using hybrid algorithm for Pareto efficient multi-objective test suite minimisation
Test suite minimisation techniques seek to reduce the effort required for regression testing by selecting a subset of test suites. In previous work, the problem has been considere...
Shin Yoo, Mark Harman