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» The State Problem for Evolutionary Testing
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GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
15 years 3 months ago
Introducing a watermarking with a multi-objective genetic algorithm
We propose an evolutionary algorithm for the enhancement of digital semi-fragile watermaking based on the manipulation of the image discrete cosine transform (DCT). The algorithm ...
Diego Sal Díaz, Manuel Grana Romay
GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
15 years 4 months ago
A multimodal particle swarm optimizer based on fitness Euclidean-distance ratio
One of the most critical issues that remains to be fully addressed in existing multimodal evolutionary algorithms is the difficulty in pre-specifying parameters used for estimatin...
Xiaodong Li
GECCO
2009
Springer
110views Optimization» more  GECCO 2009»
15 years 2 months ago
EMO shines a light on the holes of complexity space
Typical domains used in machine learning analyses only partially cover the complexity space, remaining a large proportion of problem difficulties that are not tested. Since the ac...
Núria Macià, Albert Orriols-Puig, Es...
TACAS
2000
Springer
121views Algorithms» more  TACAS 2000»
15 years 1 months ago
Using Static Analysis to Improve Automatic Test Generation
Conformance testing is still the main industrial validation technique for telecommunication protocols. The automatic construction of test cases based on the model approach is hinde...
Marius Bozga, Jean-Claude Fernandez, Lucian Ghirvu
TEC
2002
108views more  TEC 2002»
14 years 9 months ago
Analysis and modeling of control tasks in dynamic systems
Most applications of evolutionary algorithms (EAs) deal with static optimization problems. However, in recent years, there has been a growing interest in timevarying (dynamic) prob...
Rasmus K. Ursem, Thiemo Krink, Mikkel T. Jensen, Z...