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Distributed Branch and Bound Algorithm in Coalition Planning

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Multi-Agent Systems and Applications II (ACAI 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2322))

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Abstract

We suggest the Distributed Branch and Bound Algorithm intended for solving problems with exponential complexity e.g. coalition planning. This technique consists of three parts: the state space distribution, effective search algorithm and partial solution expansion. We will describe CPlanT - an OOTW (operations other than war) coalition planning multi-agent system where this approach has been exploited.

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References

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© 2002 Springer-Verlag Berlin Heidelberg

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Bárta, J., Štěpánková, O., Pěchouček, M. (2002). Distributed Branch and Bound Algorithm in Coalition Planning. In: Mařík, V., Štěpánková, O., Krautwurmová, H., Luck, M. (eds) Multi-Agent Systems and Applications II. ACAI 2001. Lecture Notes in Computer Science(), vol 2322. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45982-0_8

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  • DOI: https://doi.org/10.1007/3-540-45982-0_8

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43377-4

  • Online ISBN: 978-3-540-45982-8

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