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Lingua: Inglese
Editore: Springer International Publishing AG, 2014
ISBN 10: 3319129694 ISBN 13: 9783319129693
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
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Aggiungi al carrelloCondizione: New. Editor(s): Siarry, Patrick; Idoumghar, Lhassane; Lepagnot, Julien. Series: Lecture Notes in Computer Science / Theoretical Computer Science and General Issues. Num Pages: 203 pages, 55 black & white illustrations, biography. BIC Classification: UMB; UNH; UYQ; UYZG. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 11. Weight in Grams: 320. . 2014. Paperback. . . . .
Lingua: Inglese
Editore: Springer-Verlag New York Inc, 2016
ISBN 10: 3319503065 ISBN 13: 9783319503066
Da: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: Brand New. revised edition. 136 pages. 9.25x6.10x0.31 inches. In Stock.
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Editore: Springer-Verlag New York Inc, 2015
ISBN 10: 3319129694 ISBN 13: 9783319129693
Da: Revaluation Books, Exeter, Regno Unito
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Editore: Springer International Publishing AG, 2014
ISBN 10: 3319129694 ISBN 13: 9783319129693
Da: Kennys Bookstore, Olney, MD, U.S.A.
Condizione: New. Editor(s): Siarry, Patrick; Idoumghar, Lhassane; Lepagnot, Julien. Series: Lecture Notes in Computer Science / Theoretical Computer Science and General Issues. Num Pages: 203 pages, 55 black & white illustrations, biography. BIC Classification: UMB; UNH; UYQ; UYZG. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 11. Weight in Grams: 320. . 2014. Paperback. . . . . Books ship from the US and Ireland.
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Editore: Springer, Berlin, Springer International Publishing, Springer, 2016
ISBN 10: 3319503065 ISBN 13: 9783319503066
Da: AHA-BUCH GmbH, Einbeck, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the thoroughly refereed post-conference proceedings of the Second International Conference on Swarm Intelligence Based Optimization, ICSIBO 2016, held in Mulhouse, France, in June 2016.The 9 full papers presented were carefully reviewed and selected from 20 submissions. They are centered around the following topics: theoretical advances of swarm intelligence metaheuristics; combinatorial discrete, binary, constrained, multi-objective, multi-modal, dynamic, noisy, and large scale optimization; artificial immune systems, particle swarms, ant colony, bacterial forging, artificial bees, fireflies algorithm; hybridization of algorithms; parallel/distributed computing, machine learning, data mining, data clustering, decision making and multi-agent systems based on swarm intelligence principles; adaptation and applications of swarm intelligence principles to real world problems in various domains.
Lingua: Inglese
Editore: Springer International Publishing, 2014
ISBN 10: 3319129694 ISBN 13: 9783319129693
Da: AHA-BUCH GmbH, Einbeck, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the thoroughly refereed post-conference proceedings of the 1st International Conference on Swarm Intelligence Based Optimization, ICSIBO 2014, held in Mulhouse, France, in May 2014. The 20 full papers presented were carefully reviewed and selected from 48 submissions. Topics of interest presented and discussed in the conference focuses on the theoretical progress of swarm intelligence metaheuristics and their applications in areas such as: theoretical advances of swarm intelligence metaheuristics, combinatorial, discrete, binary, constrained, multi-objective, multi-modal, dynamic, noisy, and large-scale optimization, artificial immune systems, particle swarms, ant colony, bacterial foraging, artificial bees, fireflies algorithm, hybridization of algorithms, parallel/distributed computing, machine learning, data mining, data clustering, decision making and multi-agent systems based on swarm intelligence principles, adaptation and applications of swarm intelligence principles to real world problems in various domains.
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Da: Mispah books, Redhill, SURRE, Regno Unito
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Da: Mispah books, Redhill, SURRE, Regno Unito
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Condizione: As New. Unread book in perfect condition.
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Lingua: Inglese
ISBN 10: 7513666334 ISBN 13: 9787513666336
Da: liu xing, Nanjing, JS, Cina
paperback. Condizione: New. Language:Chinese.Paperback. Pub Date: 2021-10-01 Publisher: China Economic Press In recent years. the research on heuristic optimization methods based on biological swarm intelligence has developed rapidly. and some algorithms with superior performance and extensive influence have appeared one after another. These methods imitate the group cooperative behavior and adaptive evolutionary selection of biological systems in nature. and can quickly approach the optimal solution of the problem. Thi.
Editore: China Economic Press, 2021
ISBN 10: 7513666334 ISBN 13: 9787513666336
Da: liu xing, Nanjing, JS, Cina
paperback. Condizione: New. Language:Chinese.Paperback. Pub Date: 2021-10-01 Publisher: China Economic Press In recent years. the research on heuristic optimization methods based on biological swarm intelligence has developed rapidly. and some algorithms with superior performance and extensive influence have appeared one after another. These methods imitate the group cooperative behavior and adaptive evolutionary selection of biological systems in nature. and can quickly approach the optimal solution of the problem. Thi.
ISBN 10: 7302436827 ISBN 13: 9787302436829
Da: liu xing, Nanjing, JS, Cina
paperback. Condizione: New. Language:Chinese.Paperback. Pub Date:2016-06-01 Pages:184 Publisher: Tsinghua University press shop scheduling is one of the hot areas of research at home and abroad at present. the common solving method of heuristic rules. including branch and bound and in recent years a variety of popular swarm intelligence algorithm etc. This book mainly describes the workshop scheduling in the single machine. parallel machine. water workshop. mixed flow shop problem.
paperback. Condizione: New. Paperback. Pub Date: 2021-06-01 Pages: 201 Language: Chinese Publisher: Science Press uses time series forecasting technology to perform statistical analysis on data. and can speculate on the future trend of the development of things.?However. the traditional time series forecasting technology model is simple to construct. and the information mining and analysis contained in the data is not deep enough.?Therefore. the use of forecasting theory based on swarm intelligence optimization algorith.