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» An empirical study of optimizations in YOGI
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GECCO
2008
Springer
172views Optimization» more  GECCO 2008»
13 years 8 months ago
Empirical analysis of a genetic algorithm-based stress test technique
Evolutionary testing denotes the use of evolutionary algorithms, e.g., Genetic Algorithms (GAs), to support various test automation tasks. Since evolutionary algorithms are heuris...
Vahid Garousi
ITSL
2008
13 years 9 months ago
An Empirical Comparison of NML Clustering Algorithms
Clustering can be defined as a data assignment problem where the goal is to partition the data into nonhierarchical groups of items. In our previous work, we suggested an informati...
Petri Kontkanen, Petri Myllymäki
GECCO
2010
Springer
196views Optimization» more  GECCO 2010»
14 years 13 days ago
Using synthetic test suites to empirically compare search-based and greedy prioritizers
The increase in the complexity of modern software has led to the commensurate growth in the size and execution time of the test suites for these programs. In order to address this...
Zachary D. Williams, Gregory M. Kapfhammer
ICCV
2001
IEEE
14 years 9 months ago
Empirical Filter Estimation for Subpixel Interpolation and Matching
We study the low-level problem of predicting pixel intensities after subpixel image translations. This is a basic subroutine for image warping and super-resolution, and it has a c...
Bill Triggs
XPU
2004
Springer
14 years 29 days ago
Self-Adaptability of Agile Software Processes: A Case Study on Post-iteration Workshops
None of the agile methods are claimed to fit all development situations. A team should attempt to adapt the methods and practices to fit their specific needs. For that reason agile...
Outi Salo, Kari Kolehmainen, Pekka Kyllönen, ...