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Robust Discrete Optimization and its Applications

Robust Discrete Optimization and its Applications Journal of the Operational Research Society (1998) 49, 1303±1305 #1998 Operational Research Society Ltd. All rights reserved. 0160-5682/98 $12.00 http://www.stockton-press.co.uk/jor Book Selection Edited by JM Wilson EJ Dudewicz (Ed.): Modern Digital Simulation Methodology II 1303 P Kouvelis and G Yu: Robust Discrete Optimization and its Applications 1303 D Cieslik: Steiner Minimal Trees 1304 WG Wojtkowski, W Wojtkowski, S Wrycza and J Zupancic (Eds.): System Development Methods for the Next Century 1305 Modern Digital Simulation Methodology II Unlike deterministic optimisation models which rely on the assumption that the most likely scenario will certainly EJ Dudewicz (Ed) occur, RDO acknowledges that real-life problems involve American Sciences Press, Syracuse, New York, 1997. considerable uncertainty. However, rather than assigning 231 pp. $135.00. ISBN 0 935950 42 7 probabilities to different scenarios with a view to generating a decision which is optimal in the long run (as in stochastic optimisation approaches), RDO considers a set of poten- The title of this book suggests that it will be of interest to tially realisable scenarios. Use of min±max criteria is then many in OR, but I suspect they will be disappointed. The made to select a decision that has the best worst-case book consists of four http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of the Operational Research Society Taylor & Francis

Robust Discrete Optimization and its Applications

Journal of the Operational Research Society , Volume 49 (12): 2 – Dec 1, 1998

Robust Discrete Optimization and its Applications

Journal of the Operational Research Society , Volume 49 (12): 2 – Dec 1, 1998

Abstract

Journal of the Operational Research Society (1998) 49, 1303±1305 #1998 Operational Research Society Ltd. All rights reserved. 0160-5682/98 $12.00 http://www.stockton-press.co.uk/jor Book Selection Edited by JM Wilson EJ Dudewicz (Ed.): Modern Digital Simulation Methodology II 1303 P Kouvelis and G Yu: Robust Discrete Optimization and its Applications 1303 D Cieslik: Steiner Minimal Trees 1304 WG Wojtkowski, W Wojtkowski, S Wrycza and J Zupancic (Eds.): System Development Methods for the Next Century 1305 Modern Digital Simulation Methodology II Unlike deterministic optimisation models which rely on the assumption that the most likely scenario will certainly EJ Dudewicz (Ed) occur, RDO acknowledges that real-life problems involve American Sciences Press, Syracuse, New York, 1997. considerable uncertainty. However, rather than assigning 231 pp. $135.00. ISBN 0 935950 42 7 probabilities to different scenarios with a view to generating a decision which is optimal in the long run (as in stochastic optimisation approaches), RDO considers a set of poten- The title of this book suggests that it will be of interest to tially realisable scenarios. Use of min±max criteria is then many in OR, but I suspect they will be disappointed. The made to select a decision that has the best worst-case book consists of four

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References (2)

Publisher
Taylor & Francis
Copyright
Copyright © 1998, Operational Research Society
ISSN
1476-9360
eISSN
0160-5682
DOI
10.1057/palgrave.jors.2600043
Publisher site
See Article on Publisher Site

Abstract

Journal of the Operational Research Society (1998) 49, 1303±1305 #1998 Operational Research Society Ltd. All rights reserved. 0160-5682/98 $12.00 http://www.stockton-press.co.uk/jor Book Selection Edited by JM Wilson EJ Dudewicz (Ed.): Modern Digital Simulation Methodology II 1303 P Kouvelis and G Yu: Robust Discrete Optimization and its Applications 1303 D Cieslik: Steiner Minimal Trees 1304 WG Wojtkowski, W Wojtkowski, S Wrycza and J Zupancic (Eds.): System Development Methods for the Next Century 1305 Modern Digital Simulation Methodology II Unlike deterministic optimisation models which rely on the assumption that the most likely scenario will certainly EJ Dudewicz (Ed) occur, RDO acknowledges that real-life problems involve American Sciences Press, Syracuse, New York, 1997. considerable uncertainty. However, rather than assigning 231 pp. $135.00. ISBN 0 935950 42 7 probabilities to different scenarios with a view to generating a decision which is optimal in the long run (as in stochastic optimisation approaches), RDO considers a set of poten- The title of this book suggests that it will be of interest to tially realisable scenarios. Use of min±max criteria is then many in OR, but I suspect they will be disappointed. The made to select a decision that has the best worst-case book consists of four

Journal

Journal of the Operational Research SocietyTaylor & Francis

Published: Dec 1, 1998

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