caa a22 4500 463168844 CHVBK 20180406164807.0 cr unu---uuuuu 170326e20070601xx s 000 0 eng 10.1007/s10957-007-9168-2 doi (NATIONALLICENCE)springer-10.1007/s10957-007-9168-2 Bulger D. Department of Statistics, Macquarie University, Sydney, New South Wales, Australia aut Combining a Local Search and Grover's Algorithm in Black-Box Global Optimization [Elektronische Daten] [D. Bulger] Grover's quantum algorithm promises a quadratic acceleration for any problem formulable as a search. For unstructured search problems, its implementation and performance are well understood. The curse of dimensionality and the intractability of the general global optimization problem require any identifiable structure or regularity to be incorporated into a solution method. This paper addresses the application of Grover's algorithm when a local search technique is available, thereby combining the quadratic acceleration with the acceleration seen in the multistart method. Springer Science+Business Media, LLC, 2007 Global optimization nationallicence Grover's search algorithm nationallicence Quantum computation nationallicence Multistart techniques nationallicence Journal of Optimization Theory and Applications Kluwer Academic Publishers-Plenum Publishers; http://www.springer-ny.com 133/3(2007-06-01), 289-301 0022-3239 133:3<289 2007 133 10957 https://doi.org/10.1007/s10957-007-9168-2 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10957-007-9168-2 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Bulger D. Department of Statistics, Macquarie University, Sydney, New South Wales, Australia aut NATIONALLICENCE 773 0- Journal of Optimization Theory and Applications Kluwer Academic Publishers-Plenum Publishers; http://www.springer-ny.com 133/3(2007-06-01), 289-301 0022-3239 133:3<289 2007 133 10957 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer