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An exact parallel algorithm for the resource constrained traveling salesman problem with application to scheduling with an aggregate deadline
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Proceedings of the 1990 ACM annual conference on Cooperation table of contents
Washington, D.C., United States
Pages: 208 - 214  
Year of Publication: 1990
ISBN:0-89791-348-5
Authors
J. F. Pekny  Engineering Design Research Center, Carnegie Mellon University, Pittsburgh, PA
D. L. Miller  Central Research and Development Department, E. I. du Pont de Nemours & Company Inc., Wilmington, DE
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 4,   Downloads (12 Months): 33,   Citation Count: 1
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ABSTRACT

The Resource Constrained Traveling Salesman Problem (RCTSP) is introduced and an optimal algorithm for its solution is presented. The RCTSP is shown to subsume the Prize Collecting TSP and Orienteering Problem. Computational results are presented for sequential and parallel computations for problems containing up to 200 cities. The RCTSP algorithm is used to optimally schedule a processing facility involving sequence dependent transition costs and an aggregate due date on all job completion times. A penalty is incurred for each job not completed by the aggregate due date.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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4
L F. Pekny, D. L. Miller, and G. J. McRae, "An Exact Parallel Algorithm for Scheduling When Production Costs Depend on Consecutive System States," Computers and Chemical Engineering, 1989. submitted
 
5
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11
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18
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Collaborative Colleagues:
J. F. Pekny: colleagues
D. L. Miller: colleagues