HC12: The principles of cuda implementation

Mendel

Volumn , Issue , 2010, Pages 303-308

  Matoušek, Radomil ^a  

^a BRNO UNIVERSITY OF TECHNOLOGY   (Czech Republic)

Author keywords

Chunk tree; CUDA; GPU; HC12; Hill climbing; Optimization

Indexed keywords

EID: 84883023571     PISSN: 18033814     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

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3. R. Bayer, E. McCreight, Organization and Maintenance of Large Ordered Indexes. In Acta Informatica, 1, pp. 173-189, 1972
4. R. Matousek, GA (GA with HC mutation) implementation and application, Master thesis (in Czech), Brno University of Technology, Brno, Czech Republic, 1995
5. R. Matousek, GAHC: A Hybrid Genetic Algorithm, in Proc. . of the 10th Fuzzy Colloquium in Zittau, Zittau, pp. 239-244. ISBN: 3-9808089-2-0, 2002
6. R. Matousek, GAHC: Improved Genetic Algorithm, inthe Springer book series (Eds.: Krasnogor, et al.) Nature Inspired Cooperative Strategies for Optimization (NICSO 2007), Volume 129, 2008, XIV, pp. 114-125, ISSN 1860-949X, ISBN 978-3-540-78986-4, Springer Berlin, 2008
7. M. Mitchell, J. H. Holland, When Will a Genetic Algorithm Outperform Hill Climbing? In J. D. Cowan, G. Tesauro, and J. Alspector (editors), Advances in Neural Information Processing Systems 6. San Mateo, CA: Morgan Kaufmann, 1994
8. P. Popela, Numerical Techniques and Available Software, Chapter 8 in Part II, In J. Dupacova, J. Hurt, J. Stepan: Stochastic Modeling in Economics and Finance, pp. 206-227, Kluwer Academic Publishers, 2005