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New advances and applications of combining simulation and optimization
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Source Winter Simulation Conference archive
Proceedings of the 28th conference on Winter simulation table of contents
Coronado, California, United States
Pages: 144 - 152  
Year of Publication: 1996
ISBN:0-7803-3383-7
Authors
Fred Glover  Graduate School of Business, University of Colorado, Boulder, Colorado
James P. Kelly  Graduate School of Business, University of Colorado, Boulder, Colorado
Manuel Laguna  Graduate School of Business, University of Colorado, Boulder, Colorado
Sponsors
INFORMS/CS : Computer Science TC
SIGSIM: ACM Special Interest Group on Simulation and Modeling
IIE : Institute of Industrial Engineers
SCS : Society for Computer Simulation
ASA : American Statistical Association
NIST : National Institue of Standards & Technology
IEEE-CS : Computer Society
IEEE-SMCS : Systems, Man & Cybernetics Society
ACM: Association for Computing Machinery
Publisher
IEEE Computer Society  Washington, DC, USA
Bibliometrics
Downloads (6 Weeks): 8,   Downloads (12 Months): 42,   Citation Count: 9
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ABSTRACT

The design of efficient parallel discrete-event simulation (PDES) models often appears to be a mysterious art practiced primarily by academic researchers who have been rigorously ordained in this task. This tutorial attempts to unravel some of the mysteries. It describes the process of generating an efficient parallel implementation of a discrete-event simulation (DES) model. Common pitfalls in the parallel execution of the models are described together with suggestions on their avoidance.


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.

 
1
Glover, F. 1977. Heuristics for integer pro~Tamming using surrogate constraints. Decision Sciences 8:156-166.
 
2
Glover, F. 1994. Genetic algorithms and scatter search: unsuspected potentials. Statistics and Computing 4:131-140.
 
3
Glover, F. 1996. Tabu search and adaptive memory programming---advances, applications and challenges. To appear in Interfaces in Computer Science and Operations Research, eds. Barr, Helgason and Kennington, Kluwer Academic Publishers.
 
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6
OptQuest 96 User's Guide---The Micro Saint Simulation Optimizer. Optimization Technologies, Inc. Boulder, Colorado.

CITED BY  9
 
 
 
 
 
 
 
Collaborative Colleagues:
Fred Glover: colleagues
James P. Kelly: colleagues
Manuel Laguna: colleagues

Peer to Peer - Readers of this Article have also read: