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Record 10 of 282
You searched IISERK - Subject: Operating systems (Computers)
Tag In 1 In 2 Data
001  vtls000037008
003  IISER-K
005  20220801113000.0
007  cr nn 008mamaa
008  220801s2021 sz | s |||| 0|eng d
020  \a 9783030685140 \9 978-3-030-68514-0
035  \a (DE-He213)978-3-030-68514-0
039 9\y 202208011130 \z Siladitya
050 4\a T57.6-57.97
050 4\a T55.4-60.8
08204\a 003 \2 23
1001 \a Souravlias, Dimitris. \e author. \4 aut \4 http://id.loc.gov/vocabulary/relators/aut
24510\a Algorithm Portfolios \h [electronic resource] : \b Advances, Applications, and Challenges / \c by Dimitris Souravlias, Konstantinos E. Parsopoulos, Ilias S. Kotsireas, Panos M. Pardalos.
250  \a 1st ed. 2021.
264 1\a Cham : \b Springer International Publishing : \b Imprint: Springer, \c 2021.
300  \a XIV, 92 p. 5 illus. \b online resource.
336  \a text \b txt \2 rdacontent
337  \a computer \b c \2 rdamedia
338  \a online resource \b cr \2 rdacarrier
347  \a text file \b PDF \2 rda
4901 \a SpringerBriefs in Optimization, \x 2191-575X
5050 \a 1. Metaheuristic optimization algorithms -- 2. Algorithm portfolios -- 3. Selection of constituent algorithms -- 4. Allocation of computation resources -- 5. Sequential and parallel models -- 6. Recent applications -- 7. Epilogue -- References.
520  \a This book covers algorithm portfolios, multi-method schemes that harness optimization algorithms into a joint framework to solve optimization problems. It is expected to be a primary reference point for researchers and doctoral students in relevant domains that seek a quick exposure to the field. The presentation focuses primarily on the applicability of the methods and the non-expert reader will find this book useful for starting designing and implementing algorithm portfolios. The book familiarizes the reader with algorithm portfolios through current advances, applications, and open problems. Fundamental issues in building effective and efficient algorithm portfolios such as selection of constituent algorithms, allocation of computational resources, interaction between algorithms and parallelism vs. sequential implementations are discussed. Several new applications are analyzed and insights on the underlying algorithmic designs are provided. Future directions, new challenges, and open problems in the design of algorithm portfolios and applications are explored to further motivate research in this field.
650 0\a Operations research.
650 0\a Management science.
650 0\a Algorithms.
650 0\a Microprogramming .
650 0\a Discrete Mathematics.
65014\a Operations Research, Management Science.
65024\a Algorithms.
65024\a Control Structures and Microprogramming.
65024\a Discrete Mathematics.
7001 \a Parsopoulos, Konstantinos E. \e author. \4 aut \4 http://id.loc.gov/vocabulary/relators/aut
7001 \a Kotsireas, Ilias S. \e author. \4 aut \4 http://id.loc.gov/vocabulary/relators/aut
7001 \a Pardalos, Panos M. \e author. \0 (orcid)0000-0003-2824-101X \1 https://orcid.org/0000-0003-2824-101X \4 aut \4 http://id.loc.gov/vocabulary/relators/aut
7102 \a SpringerLink (Online service)
7730 \t Springer Nature eBook
77608\i Printed edition: \z 9783030685133
77608\i Printed edition: \z 9783030685157
830 0\a SpringerBriefs in Optimization, \x 2191-575X
85640\u https://doi.org/10.1007/978-3-030-68514-0
912  \a ZDB-2-SMA
912  \a ZDB-2-SXMS
950  \a Mathematics and Statistics (SpringerNature-11649)
950  \a Mathematics and Statistics (R0) (SpringerNature-43713)

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