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  Mixed Integer Programming Models for Planning Problems

Bockmayr, A., & Dimopoulos, Y. (1998). Mixed Integer Programming Models for Planning Problems. In J. Frank, & M. Sabin (Eds.), Proceedings of the Workshop on Constraint Problem Reformulation (CP-98) (pp. 1-6). Moffett Field, USA: NASA Ames Research Center.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-3856-5 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-3857-3
Genre: Conference Paper

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 Creators:
Bockmayr, Alexander1, Author           
Dimopoulos, Yannis1, Author           
Affiliations:
1Programming Logics, MPI for Informatics, Max Planck Society, ou_40045              

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 Abstract: We present some preliminary work on modeling AI planning as a Mixed Integer Programming (MIP) problem. We discuss the main advantages and disadvantages of the approach and compare it to traditional planning frameworks. We investigate a number of MIP models of specific problems, each of them exploiting different strengths of the MIP formulation, and present our computational experience with these models.

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Language(s): eng - English
 Dates: 2010-03-121998
 Publication Status: Issued
 Pages: -
 Publishing info: Moffett Field, USA : NASA Ames Research Center
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 519656
Other: Local-ID: C1256104005ECAFC-4711AB898C61704FC125668E00343692-BockmayrDimopoulos98
 Degree: -

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Title: Untitled Event
Place of Event: Pisa, Italy
Start-/End Date: 2006-10-11 - 2006-10-11

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Title: Proceedings of the Workshop on Constraint Problem Reformulation (CP-98)
Source Genre: Proceedings
 Creator(s):
Frank, Jeremy, Editor
Sabin, Mihaela, Editor
Affiliations:
-
Publ. Info: Moffett Field, USA : NASA Ames Research Center
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1 - 6 Identifier: -