9783030390358 - biologically inspired techniques in many-criteria decision making: international conference on biologically inspired techniques in many-criteria ... and analytics in intelligent systems) (14 resultados)
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Editorial: Springer, 2021
Serie: Libro 10 de 29 - Learning and Analytics in Intelligent Systems
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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Editorial: Springer, 2021
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Taschenbuch. Condición: Neu. Biologically Inspired Techniques in Many-Criteria Decision Making | International Conference on Biologically Inspired Techniques in Many-Criteria Decision Making (BITMDM-2019) | Satchidananda Dehuri (u. a.) | Taschenbuch | Learning and Analytics in Intelligent Systems | xv | Englisch | 2021 | Springe…r | EAN 9783030390358 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Idioma: Inglés
Editorial: Springer, 2021
Serie: Libro 10 de 29 - Learning and Analytics in Intelligent Systems
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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Condición: New. 1st ed. 2020 edition NO-PA16APR2015-KAP.
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Idioma: Inglés
Editorial: Springer International Publishing, 2021
Serie: Libro 10 de 29 - Learning and Analytics in Intelligent Systems
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book addresses many-criteria decision-making (MCDM), a process used to find a solution in an environment with several criteria. In many real-world problems, there are several different objectives that need to be taken into account. Solving the…se problems is a challenging task and requires careful consideration. In real applications, often simple and easy to understand methods are used; as a result, the solutions accepted by decision makers are not always optimal solutions. On the other hand, algorithms that would provide better outcomes are very time consuming. The greatest challenge facing researchers is how to create effective algorithms that will yield optimal solutions with low time complexity. Accordingly, many current research efforts are focused on the implementation of biologically inspired algorithms (BIAs), which are well suited to solving uni-objective problems. This book introduces readers to state-of-the-art developments in biologically inspired techniques and their applications, with a major emphasis on the MCDM process. To do so, it presents a wide range of contributions on e.g. BIAs, MCDM, nature-inspired algorithms, multi-criteria optimization, machine learning and soft computing.
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Editorial: Springer, 2021
Serie: Libro 10 de 29 - Learning and Analytics in Intelligent Systems
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Librería: Buchpark, Trebbin, AlemaniaBuchpark
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Condición: Hervorragend. Zustand: Hervorragend | Seiten: 276 | Sprache: Englisch | Produktart: Bücher | This book addresses many-criteria decision-making (MCDM), a process used to find a solution in an environment with several criteria. In many real-world problems, there are several different objectives that need to be taken int…o account. Solving these problems is a challenging task and requires careful consideration. In real applications, often simple and easy to understand methods are used; as a result, the solutions accepted by decision makers are not always optimal solutions. On the other hand, algorithms that would provide better outcomes are very time consuming. The greatest challenge facing researchers is how to create effective algorithms that will yield optimal solutions with low time complexity. Accordingly, many current research efforts are focused on the implementation of biologically inspired algorithms (BIAs), which are well suited to solving uni-objective problems. This book introduces readers to state-of-the-art developments in biologically inspired techniques and their applications, with a major emphasis on the MCDM process. To do so, it presents a wide range of contributions on e.g. BIAs, MCDM, nature-inspired algorithms, multi-criteria optimization, machine learning and soft computing.
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Editorial: Springer Nature, 2021
Serie: Libro 10 de 29 - Learning and Analytics in Intelligent Systems
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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Paperback. Condición: Brand New. 276 pages. 9.25x6.10x0.67 inches. In Stock.
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Editorial: Springer, 2021
Serie: Libro 10 de 29 - Learning and Analytics in Intelligent Systems
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Librería: Mispah books, Redhill, SURRE, Reino UnidoMispah books
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Paperback. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Editorial: Springer, 2021
Serie: Libro 10 de 29 - Learning and Analytics in Intelligent Systems
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Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condición: new. Questo è un articolo print on demand.
Idioma: Inglés
Editorial: Springer, 2021
Serie: Libro 10 de 29 - Learning and Analytics in Intelligent Systems
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Librería: Basi6 International, Irving, TX, Estados Unidos de AmericaBasi6 International
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Condición: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days. Excellent Customer Service.
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Idioma: Inglés
Editorial: Springer International Publishing, 2021
Serie: Libro 10 de 29 - Learning and Analytics in Intelligent Systems
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Librería: moluna, Greven, Alemaniamoluna
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Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Addresses recent challenges in optimization methods and techniques associated with the exponential growth in data production Gathers the Proceedings of the International Conference on Biologic…ally Inspired Techniques in Many-Criteria Decision Making .
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Idioma: Inglés
Editorial: Springer International Publishing Jan 2021, 2021
Serie: Libro 10 de 29 - Learning and Analytics in Intelligent Systems
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book addresses many-criteria decision-making (MCDM), a process used to find a solution in an environment with several criteria. In many real-world problems, there are several different objectives that need to be taken into acco…unt. Solving these problems is a challenging task and requires careful consideration. In real applications, often simple and easy to understand methods are used; as a result, the solutions accepted by decision makers are not always optimal solutions. On the other hand, algorithms that would provide better outcomes are very time consuming. The greatest challenge facing researchers is how to create effective algorithms that will yield optimal solutions with low time complexity. Accordingly, many current research efforts are focused on the implementation of biologically inspired algorithms (BIAs), which are well suited to solving uni-objective problems. This book introduces readers to state-of-the-art developments in biologically inspired techniques and their applications, with a major emphasis on the MCDM process. To do so, it presents a wide range of contributions on e.g. BIAs, MCDM, nature-inspired algorithms, multi-criteria optimization, machine learning and soft computing. 276 pp. Englisch.
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Idioma: Inglés
Editorial: Springer, Springer Jan 2021, 2021
Serie: Libro 10 de 29 - Learning and Analytics in Intelligent Systems
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book addresses many-criteria decision-making (MCDM), a process used to find a solution in an environment with several criteria. In many real-world problems, there are several different objectives that need to be taken into account.… Solving these problems is a challenging task and requires careful consideration. In real applications, often simple and easy to understand methods are used; as a result, the solutions accepted by decision makers are not always optimal solutions. On the other hand, algorithms that would provide better outcomes are very time consuming. The greatest challenge facing researchers is how to create effective algorithms that will yield optimal solutions with low time complexity. Accordingly, many current research efforts are focused on the implementation of biologically inspired algorithms (BIAs), which are well suited to solving uni-objective problems.This book introduces readers to state-of-the-art developments in biologically inspired techniques and their applications, with a major emphasis on the MCDM process. To do so, it presents a wide range of contributions on e.g. BIAs, MCDM, nature-inspired algorithms, multi-criteria optimization, machine learning and soft computing.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 276 pp. Englisch.
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Editorial: Springer, 2021
Serie: Libro 10 de 29 - Learning and Analytics in Intelligent Systems
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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EUR 281,53
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Condición: New. Print on Demand.
Idioma: Inglés
Editorial: Springer, 2021
Serie: Libro 10 de 29 - Learning and Analytics in Intelligent Systems
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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EUR 287,44
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