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» An evolutionary method for complex-process optimization
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101
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IJIT
2004
15 years 1 months ago
Modeling of Pulping of Sugar Maple Using Advanced Neural Network Learning
This paper reports work done to improve the modeling of complex processes when only small experimental data sets are available. Neural networks are used to capture the nonlinear un...
W. D. Wan Rosli, Z. Zainuddin, R. Lanouette, S. Sa...
GECCO
2007
Springer
258views Optimization» more  GECCO 2007»
15 years 4 months ago
TFBS identification by position- and consensus-led genetic algorithm with local filtering
Identification of Transcription Factor Binding Site (TFBS) motifs in multiple DNA upstream sequences is important in understanding the mechanism of gene regulation. This identific...
Tak-Ming Chan, Kwong-Sak Leung, Kin-Hong Lee
ICASSP
2007
IEEE
15 years 6 months ago
Protein Fold Recognition using Residue-Based Alignments of Sequence and Secondary Structure
Protein structure prediction aims to determine the three-dimensional structure of proteins form their amino acid sequences. When a protein does not have similarity (homology) to a...
Zafer Aydin, Hakan Erdogan, Yucel Altunbasak
102
Voted
CVPR
2007
IEEE
16 years 2 months ago
Precise Registration of 3D Models To Images by Swarming Particles
The precise alignment of a 3D model to 2D sensor images to recover the pose of an object in a scene is an important topic in computer vision. In this work, we outline a registrati...
Joerg Liebelt, Klaus Schertler
GECCO
2009
Springer
156views Optimization» more  GECCO 2009»
15 years 7 months ago
Insight knowledge in search based software testing
Software testing can be re-formulated as a search problem, hence search algorithms (e.g., Genetic Algorithms) can be used to tackle it. Most of the research so far has been of emp...
Andrea Arcuri