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24.37
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booksXpress /Abebooks
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ISBN10: 3642134246, ISBN13: 9783642134241, [publisher: Springer] Hardcover
[Bayonne, NJ, U.S.A.] [Publication Year: 2010]
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Sarker, Ruhul A (Editor), and Ray, Tapabrata (Editor)
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33.58
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Bonita via Alibris /Alibris
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Springer 2010 hardcover Good Access codes and supplements are not guaranteed with used items. May be an ex-library book.
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Sarker, Ruhul A (Editor), and Ray, Tapabrata (Editor)
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103.32
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Alibris /Alibris
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Berlin, Heidelberg Springer 2010 Hard cover New. Sewn binding. Cloth over boards. 291 p. Contains: Unspecified, Illustrations, color, Tables, black & white, Figures. Adaptation, Learning, and Optimization, 5.
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Tapabrata Ray
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111.07
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AHA-BUCH GmbH /ZVAB
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ISBN10: 3642134246, ISBN13: 9783642134241, [publisher: Springer Berlin Heidelberg] Hardcover Druck auf Anfrage Neuware - Printed after ordering - Agent based evolutionary search is an emerging paradigm in computational int- ligence offering the potential to conceptualize and solve a variety of complex problems such as currency trading, production planning, disaster response m- agement, business process management etc. There has been a significant growth in the number of publications related to the development and applications of agent based systems in recent years which has prompted special issues of journals and dedicated sessions in premier conferences. The notion of an agent with its ability to sense, learn and act autonomously - lows the development of a plethora of efficient algorithms to deal with complex problems. This notion of an agent differs significantly from a restrictive definition of a solution in an evolutionary algorithm and opens up the possibility to model and capture emergent behavior of complex systems through a natural age- oriented decomposition of the problem space. While this flexibility of represen- tion offered by agent based systems is widely acknowledged, they need to be - signed for specific purposes capturing the right level of details and description. This edited volume is aimed to provide the readers with a brief background of agent based evolutionary search, recent developments and studies dealing with various levels of information ...
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116.18
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ISBN10: 3642134246, ISBN13: 9783642134241, [publisher: Springer] Hardcover
[Dallas, TX, U.S.A.] [Publication Year: 2010]
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Tapabrata Ray
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124.33
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AHA-BUCH GmbH /AbebooksDE
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ISBN10: 3642134246, ISBN13: 9783642134241, [publisher: Springer Berlin Heidelberg] Hardcover Druck auf Anfrage Neuware - Printed after ordering - Agent based evolutionary search is an emerging paradigm in computational int- ligence offering the potential to conceptualize and solve a variety of complex problems such as currency trading, production planning, disaster response m- agement, business process management etc. There has been a significant growth in the number of publications related to the development and applications of agent based systems in recent years which has prompted special issues of journals and dedicated sessions in premier conferences. The notion of an agent with its ability to sense, learn and act autonomously - lows the development of a plethora of efficient algorithms to deal with complex problems. This notion of an agent differs significantly from a restrictive definition of a solution in an evolutionary algorithm and opens up the possibility to model and capture emergent behavior of complex systems through a natural age- oriented decomposition of the problem space. While this flexibility of represen- tion offered by agent based systems is widely acknowledged, they need to be - signed for specific purposes capturing the right level of details and description. This edited volume is aimed to provide the readers with a brief background of agent based evolutionary search, recent developments and studies dealing with various levels of information ...
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Sarker, Ruhul A (Editor), and Ray, Tapabrata (Editor)
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131.07
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ShopSpell via Alibris /Alibris
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Berlin, Heidelberg Springer 2010 Hard cover New. Sewn binding. Cloth over boards. 291 p. Contains: Unspecified, Illustrations, color, Tables, black & white, Figures. Adaptation, Learning, and Optimization, 5.
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Ruhul Amin Sarker
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146.51
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The Saint Bookstore /Biblio
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Hardback. New. Presenting state-of-the-art theory and practice in the field, this volume includes novel frameworks, a convergence and complexity analysis, and real-world applications. It aims to raise awareness of this effective method of enhancing evolutionary algorithms. ISBN 3642134246 9783642134241 [GB]
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