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ORCIDAnnals of Operations Research, Volume 90
Volume 90, 1999
- Preface. 0
- Jens Clausen, Michael Perregaard:
On the best search strategy in parallel branch-and-bound: Best-First Search versus Lazy Depth-First Search. 1-17 - Robert E. Bixby, William J. Cook, Alan Cox, Eva K. Lee:
Computational experience with parallel mixed integerprogramming in a distributed environment. 19-43 - Adrian Brüngger, Ambros Marzetta, K. Fukuda, Jürg Nievergelt:
The parallel search bench ZRAM and its applications. 45-63 - Lakshmi S. Iyer, Jay E. Aronson:
A parallel branch-and-bound methodfor cluster analysis. 65-86 - Hercules Vladimirou, Stavros A. Zenios:
Scalable parallel computations forlarge-scale stochastic programming. 87-129 - Laureano F. Escudero, José Luis de la Fuente, Cristina García, Francisco Javier Prieto:
A parallel computation approach for solvingmultistage stochastic network problems. 131-160 - M. A. H. Dempster, R. T. Thompson:
EVPI-based importance sampling solution proceduresfor multistage stochastic linear programmeson parallel MIMD architectures. 161-184 - M. G. A. Verhoeven, M. E. M. Severens:
Parallel local search for Steiner trees in graphs. 185-202 - Udo Kohlmorgen, Hartmut Schmeck, K. Haase:
Experiences with fine-grainedparallel genetic algorithms. 203-219 - Maciej Drozdowski, Wieslaw Kubiak:
Scheduling parallel tasks withsequential heads and tails. 221-246 - Mireille L. Bougeard, C. D. Caquineau:
Parallel proximal decomposition algorithmsfor robust estimation. 247-270 - S. Berner, K. I. M. McKinnon, C. Millar:
A parallel algorithm for the global minimizationof Gibbs free energy. 271-291 - Robert L. Popp, Krishna R. Pattipati, Yaakov Bar-Shalom:
Distributed- and shared-memory parallelizationsof assignment-based data association formultitarget tracking. 293-322
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