Sprache: Englisch
Verlag: LAP Lambert Academic Publishing, 2012
ISBN 10: 3659183490 ISBN 13: 9783659183492
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Performance Analysis of Evolutionary Algorithms | An insight into the dynamics of an evolutionary algorithm | Paramartha Dutta (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659183492 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659183490 ISBN 13: 9783659183492
Anbieter: Mispah books, Redhill, SURRE, Vereinigtes Königreich
EUR 174,32
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In den WarenkorbPaperback. Zustand: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659183490 ISBN 13: 9783659183492
Anbieter: moluna, Greven, Deutschland
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In den WarenkorbKartoniert / Broschiert. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Dutta ParamarthaDr. Paramartha Dutta, M.Stat., M.Tech(Computer Science), Ph.D(Engineering) is currently a Professor in the Department of Computer and System Science, Visva Bharati University, India. He has about 125 papers published .
Sprache: Englisch
Verlag: LAP Lambert Academic Publishing, 2012
ISBN 10: 3659183490 ISBN 13: 9783659183492
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is aimed at offering some insight into the dynamics of evolutionary algorithms, which are primarily stochastic heuristic schemes. Since the comprehensive theoretical formulation encompassing the entire spectrum of evolutionary schemes is difficult, if not impossible, the present treatise may be viewed as an effort to make mathematical chracterization of the dynamics of some restricted class of evolutionary algorithms. Naturally, the endeavour can further be extended to incorporate even wider class of evolutionary algorithms. In that sense, this treatment may be viewed as the beginning of theorization of the dynamics of such class of probabilistic heuristics. As such, the authors intend to dedicate this book to this community to invite them in such efforts. However, the authors are also engaged in extending their present work further. An appreciation from the readership, even if critical, will be treated as of immense help in their future effort.