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» Genetic algorithms using low-discrepancy sequences
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161
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TSE
2010
197views more  TSE 2010»
14 years 10 months ago
A Genetic Algorithm-Based Stress Test Requirements Generator Tool and Its Empirical Evaluation
Genetic algorithms (GAs) have been applied previously to UML-driven, stress test requirements generation with the aim of increasing chances of discovering faults relating to networ...
Vahid Garousi
234
Voted
ICDE
2006
IEEE
178views Database» more  ICDE 2006»
16 years 4 months ago
Declarative Querying for Biological Sequences
The ongoing revolution in life sciences research is producing vast amounts of genetic and proteomic sequence data. Scientists want to pose increasingly complex queries on this dat...
Sandeep Tata, Jignesh M. Patel, James S. Friedman,...
136
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CEC
2007
IEEE
15 years 7 months ago
Mining association rules from databases with continuous attributes using genetic network programming
Most association rule mining algorithms make use of discretization algorithms for handling continuous attributes. Discretization is a process of transforming a continuous attribute...
Karla Taboada, Eloy Gonzales, Kaoru Shimada, Shing...
CVPR
1997
IEEE
15 years 7 months ago
3D Reconstruction of the Human Jaw from A Sequence of Images
A novel approach is proposed to obtain a record of the patient’s occlusion using computer vision. Data acquisition is obtained using intra-oral video cameras. The technique utili...
Moumen T. Ahmed, Sameh M. Yamany, Elsayed E. Hemay...
140
Voted
GECCO
2008
Springer
122views Optimization» more  GECCO 2008»
15 years 4 months ago
Varying portfolio construction of stocks using genetic network programming with control nodes
A new evolutionary method named “Genetic Network Programming with Control Nodes, GNPcn” has been proposed and applied to determine the timing of buying and selling stocks. GNP...
Etsushi Ohkawa, Yan Chen, Shingo Mabu, Kaoru Shima...