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An application of artificial intelligence to operations research

Published: 01 October 1984 Publication History

Abstract

An extension of critical path scheduling to a case where there are alternate methods for completing a project is introduced. Three solution methods are presented including one based on the heuristic search algorithm used in artificial intelligence.

References

[1]
Hart, P.E., Nilsson, N.J., and Raphael, B. A formal basis for the heuristic determination of minimum cost path, IEEE Trans. Syst. Man Cybern. SMC-4(2) (1968), 100-107.
[2]
Kelley, J.E. Critical path planning and scheduling: Mathematical basis. Oper. Res. 9 (1969}, 296-320.
[3]
Martelli, A., and Montanari, U. Additive AND/OR graphs. I/CAI-4, (1975), 345-350.
[4]
Moder, l., and Phillips, C. Project Management with CPM and PERT. Van Nostrand Reinhold, New York, 1970.
[5]
Nilsson, N.J. Principles of Artificial Intelligence. Tioga Publishing, Pale Alto, Calif., 1080.

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Published In

cover image Communications of the ACM
Communications of the ACM  Volume 27, Issue 10
Oct 1984
70 pages
ISSN:0001-0782
EISSN:1557-7317
DOI:10.1145/358274
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 October 1984
Published in CACM Volume 27, Issue 10

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Author Tags

  1. AND-OR network
  2. critical path
  3. optimal plan

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