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Sinopsis
Nature-Inspired Algorithms have been gaining much popularity in recent years due to the fact that many real-world optimisation problems have become increasingly large, complex and dynamic. The size and complexity of the problems nowadays require the development of methods and solutions whose efficiency is measured by their ability to find acceptable results within a reasonable amount of time, rather than an ability to guarantee the optimal solution. This volume 'Nature-Inspired Algorithms for Optimisation' is a collection of the latest state-of-the-art algorithms and important studies for tackling various kinds of optimisation problems. It comprises 18 chapters, including two introductory chapters which address the fundamental issues that have made optimisation problems difficult to solve and explain the rationale for seeking inspiration from nature. The contributions stand out through their novelty and clarity of the algorithmic descriptions and analyses, and lead the way to interesting and varied new applications.
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Nature-Inspired Algorithms have been gaining much popularity in recent years due to the fact that many real-world optimisation problems have become increasingly large, complex and dynamic. The size and complexity of the problems nowadays require the development of methods and solutions whose efficiency is measured by their ability to find acceptable results within a reasonable amount of time, rather than an ability to guarantee the optimal solution. This volume 'Nature-Inspired Algorithms for Optimisation' is a collection of the latest state-of-the-art algorithms and important studies for tackling various kinds of optimisation problems. It comprises 18 chapters, including two introductory chapters which address the fundamental issues that have made optimisation problems difficult to solve and explain the rationale for seeking inspiration from nature. The contributions stand out through their novelty and clarity of the algorithmic descriptions and analyses, and lead the way to interesting and varied new applications.
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Nature-inspired algorithms for optimisation.
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Berlin/Heidelberg, Springer., 2009
ISBN 10: 3642002668
ISBN 13: 9783642002663
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XVII, 514 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Stamped. Studies in computational intelligence ; Vol. 193. Sprache: Englisch. Nº de ref. del artículo: 2572BB
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Nature-Inspired Algorithms for Optimisation
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Springer-Verlag GmbH, 2009
ISBN 10: 3642002668
ISBN 13: 9783642002663
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Nature-Inspired Algorithms for Optimisation (Studies in Computational Intelligence)
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Nature-Inspired Algorithms for Optimisation
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ISBN 10: 3642002668
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Recent research and source of reference of knowledge on nature-inspired algorithms and their applicationsFocuses on the implementation of nature-inspired solutions for optimisation based on empirical studiesNature-Inspired Algorithm. Nº de ref. del artículo: 5043048
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Nature-Inspired Algorithms for Optimisation (Studies in Computational Intelligence, 193)
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Nature-Inspired Algorithms for Optimisation
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Springer, Berlin, Springer Berlin Heidelberg, Springer, 2009
ISBN 10: 3642002668
ISBN 13: 9783642002663
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Nature-Inspired Algorithmshave beengaining much popularity in recent years due to the fact that many real-world optimisation problems have become increasingly large, complex and dynamic. The size and complexity of the problems nowadays require the development of methods and solutions whose efficiency is measured by their ability to find acceptable results within a reasonable amount of time, rather than an ability to guarantee the optimal solution. This volume 'Nature-Inspired Algorithms for Optimisation' is a collection of the latest state-of-the-art algorithms and important studies for tackling various kinds of optimisation problems. It comprises 18 chapters, including two introductory chapters which address the fundamental issues that have made optimisation problems difficult to solve and explain the rationale for seeking inspiration from nature. The contributions stand out through their novelty and clarity of the algorithmic descriptions and analyses, and lead the way to interesting and varied new applications. 516 pp. Englisch. Nº de ref. del artículo: 9783642002663
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Nature-Inspired Algorithms for Optimisation
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Springer, Berlin, Springer Berlin Heidelberg, Springer, 2009
ISBN 10: 3642002668
ISBN 13: 9783642002663
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Nature-Inspired Algorithmshave beengaining much popularity in recent years due to the fact that many real-world optimisation problems have become increasingly large, complex and dynamic. The size and complexity of the problems nowadays require the development of methods and solutions whose efficiency is measured by their ability to find acceptable results within a reasonable amount of time, rather than an ability to guarantee the optimal solution. This volume 'Nature-Inspired Algorithms for Optimisation' is a collection of the latest state-of-the-art algorithms and important studies for tackling various kinds of optimisation problems. It comprises 18 chapters, including two introductory chapters which address the fundamental issues that have made optimisation problems difficult to solve and explain the rationale for seeking inspiration from nature. The contributions stand out through their novelty and clarity of the algorithmic descriptions and analyses, and lead the way to interesting and varied new applications. Nº de ref. del artículo: 9783642002663
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Nature-Inspired Algorithms for Optimisation (Studies in Computational Intelligence, 193)
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Nature-Inspired Algorithms for Optimisation
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Nature-Inspired Algorithms for Optimisation
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Condición: New. Print on Demand pp. 536 161 Illus. Nº de ref. del artículo: 6508057
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