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Concurrent Methodologies for Global Optimization

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Logic Programming (ICLP 2005)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 3668))

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Abstract

My research interests are mainly focused on concurrent approaches to global optimization problems. Optimization tasks have two main conflicting features: they are both very difficult and central to a lot of the applications computer science faces daily. The problems I’m most interested in stem out from biology, protein folding being the principal one.

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References

  1. Bortolussi, L., Palù, A.D., Dovier, A., Fogolari, F.: Agent-based protein folding simulation. Intelligenza Artificiale (January 2005)

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  2. Bortolussi, L., Dovier, A., Fogolari, F.: Multi-agent simulation of protein folding. In: To be presented at MAS-BIOMED 2005 (2005)

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  3. Bortolussi, L., Wiklicky, H.: A distriuted and probabilistic concurrent constraint programming language. In: Gabbrielli, M., Gupta, G. (eds.) ICLP 2005. LNCS, vol. 3668, pp. 143–158. Springer, Heidelberg (2005)

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© 2005 Springer-Verlag Berlin Heidelberg

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Bortolussi, L. (2005). Concurrent Methodologies for Global Optimization. In: Gabbrielli, M., Gupta, G. (eds) Logic Programming. ICLP 2005. Lecture Notes in Computer Science, vol 3668. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11562931_47

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  • DOI: https://doi.org/10.1007/11562931_47

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29208-1

  • Online ISBN: 978-3-540-31947-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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