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Letter to the Editor-Solution of a Combinatorial Problem by Dynamic Programming

Published: 01 February 1965 Publication History

Abstract

A combinatorial problem to determine the least cost of a matrix configuration is solved by dynamic programming. In particular, the application of an algorithm based on an approximation in policy space yields a least-cost configuration consistent with the initial matrix configuration. While the optimization is local in character because of its dependence on the initial matrix configuration, the optimization may be extended to approach global optimization by consideration of a variety of initial matrix configurations. The method lends itself readily to finding the hierachy of configurations ranging from the least to the most expensive.

References

[1]
R. BELLMAN, Dynamic Programming, Princeton University Press, Princeton, New Jersey, 1951.
[2]
R. BELLMAN AND S. DREYFUS, Applied Dynamic Programming, Princeton University Press, Princeton, New Jersey, 1962.
[3]
B. FLORES, "Quantitative Tools for Plant Layout," MS Thesis, University of Houston, 1964.
[4]
S. REITER AND G. SHERMAN, "Discrete Optimizing," Purdue University Institute Paper No. 37.
[5]
S. M. ROBERTS, Dynamic Programming in Chemical Engineering and Process Control, Academic Press, New York, 1964.

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Published In

cover image Operations Research
Operations Research  Volume 13, Issue 1
February 1965
180 pages

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INFORMS

Linthicum, MD, United States

Publication History

Published: 01 February 1965

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