caa a22 4500 469067829 CHVBK 20180323132913.0 cr unu---uuuuu 170328e19920901xx s 000 0 eng 10.1007/BF00171828 doi (NATIONALLICENCE)springer-10.1007/BF00171828 A parallel stochastic method for solving linearly constrained concave global minimization problems [Elektronische Daten] [A. Phillips, J. Rosen, M. Van Vliet] A parallel stochastic algorithm is presented for solving the linearly constrained concave global minimization problem. The algorithm is a multistart method and makes use of a Bayesian stopping rule to identify the global minimum with high probability. Computational results are presented for more than 200 problems on a Cray X-MP EA/464 supercomputer. Kluwer Academic Publishers, 1992 Constrained global minimization nationallicence stochastic method nationallicence multistart technique nationallicence Bayesian stopping rule nationallicence parallel computation nationallicence Phillips A. Computer Science Department, United States Naval Academy, 21402, Annapolis, MD, U.S.A. aut Rosen J. Computer Science Department, University of Minnesota, 55455, Minneapolis, MN, U.S.A. aut Van Vliet M. Tinbergen Institute, Erasmus University, Rotterdam, The Netherlands aut Journal of Global Optimization Kluwer Academic Publishers 2/3(1992-09-01), 243-258 0925-5001 2:3<243 1992 2 10898 https://doi.org/10.1007/BF00171828 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF00171828 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Phillips A. Computer Science Department, United States Naval Academy, 21402, Annapolis, MD, U.S.A aut NATIONALLICENCE 700 1- Rosen J. Computer Science Department, University of Minnesota, 55455, Minneapolis, MN, U.S.A aut NATIONALLICENCE 700 1- Van Vliet M. Tinbergen Institute, Erasmus University, Rotterdam, The Netherlands aut NATIONALLICENCE 773 0- Journal of Global Optimization Kluwer Academic Publishers 2/3(1992-09-01), 243-258 0925-5001 2:3<243 1992 2 10898 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer