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  • 1
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : IntechOpen
    UID:
    gbv_1778659063
    Format: 1 Online-Ressource (140 p.)
    ISBN: 9789535109136 , 9789535162971
    Content: This book aims at attracting the interest of researchers and practitioners around the applicability of meta-heuristic algorithms to practical scenarios arising from different knowledge disciplines. Emphasis is placed on evolutionary algorithms and swarm intelligence as computational means to efficiently balance the tradeoff between optimality of the produced solutions and the complexity derived from their estimation. In summary, this book serves as a good start point for early-stage investigators in the initial steps of their research on meta-heuristics, grounded on both a thorough literature review and the practical orientation of its contents
    Note: English
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    gbv_1778478387
    Format: 1 Online-Ressource (128 p.)
    ISBN: 9781789845372 , 9781789845365 , 9781839680007
    Series Statement: Artificial Intelligence 2
    Content: Swarm Intelligence has emerged as one of the most studied artificial intelligence branches during the last decade, constituting the fastest growing stream in the bio-inspired computation community. A clear trend can be deduced analyzing some of the most renowned scientific databases available, showing that the interest aroused by this branch has increased at a notable pace in the last years. This book describes the prominent theories and recent developments of Swarm Intelligence methods, and their application in all fields covered by engineering. This book unleashes a great opportunity for researchers, lecturers, and practitioners interested in Swarm Intelligence, optimization problems, and artificial intelligence
    Note: English
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : IntechOpen
    UID:
    gbv_1778516947
    Format: 1 Online-Ressource (70 p.)
    ISBN: 9781789233292 , 9781789233285 , 9781838815721
    Content: Nature-inspired algorithms have a great popularity in the current scientific community, being the focused scope of many research contributions in the literature year by year. The rationale behind the acquired momentum by this broad family of methods lies on their outstanding performance evinced in hundreds of research fields and problem instances. This book gravitates on the development of nature-inspired methods and their application to stochastic, dynamic and robust optimization. Topics covered by this book include the design and development of evolutionary algorithms, bio-inspired metaheuristics, or memetic methods, with empirical, innovative findings when used in different subfields of mathematical optimization, such as stochastic, dynamic, multimodal and robust optimization, as well as noisy optimization and dynamic and constraint satisfaction problems
    Note: English
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    UID:
    b3kat_BV046444622
    Format: 1 Online-Ressource , Illustrationen, Diagramme, Pläne
    ISBN: 9781789845372 , 9781839680007
    Series Statement: IntechOpen Book Series. Artificial intelligence 2
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-1-78984-536-5
    Language: English
    URL: Volltext  (kostenfrei)
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    UID:
    b3kat_BV045269644
    Format: 1 Online-Ressource (XV, 448 p. 108 illus)
    ISBN: 9783319996264
    Series Statement: Studies in Computational Intelligence 798
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-319-99625-7
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-319-99627-1
    Language: English
    Subjects: Computer Science
    RVK:
    URL: Volltext  (URL des Erstveröffentlichers)
    Author information: Yang, Xin-She 1965-
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  • 6
    UID:
    almahu_9949281503202882
    Format: 1 online resource (128 pages) : , illustrations
    ISBN: 1-83968-000-8 , 1-78984-537-8
    Series Statement: Artificial Intelligence 2
    Content: Swarm Intelligence has emerged as one of the most studied artificial intelligence branches during the last decade, constituting the fastest growing stream in the bio-inspired computation community. A clear trend can be deduced analyzing some of the most renowned scientific databases available, showing that the interest aroused by this branch has increased at a notable pace in the last years. This book describes the prominent theories and recent developments of Swarm Intelligence methods, and their application in all fields covered by engineering. This book unleashes a great opportunity for researchers, lecturers, and practitioners interested in Swarm Intelligence, optimization problems, and artificial intelligence.
    Note: English
    Additional Edition: ISBN 1-78984-536-X
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 7
    UID:
    edocfu_9959394795102883
    Format: 1 online resource (128 pages) : , illustrations
    ISBN: 1-83968-000-8 , 1-78984-537-8
    Series Statement: Artificial Intelligence 2
    Content: Swarm Intelligence has emerged as one of the most studied artificial intelligence branches during the last decade, constituting the fastest growing stream in the bio-inspired computation community. A clear trend can be deduced analyzing some of the most renowned scientific databases available, showing that the interest aroused by this branch has increased at a notable pace in the last years. This book describes the prominent theories and recent developments of Swarm Intelligence methods, and their application in all fields covered by engineering. This book unleashes a great opportunity for researchers, lecturers, and practitioners interested in Swarm Intelligence, optimization problems, and artificial intelligence.
    Note: English
    Additional Edition: ISBN 1-78984-536-X
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 8
    UID:
    edoccha_9959394795102883
    Format: 1 online resource (128 pages) : , illustrations
    ISBN: 1-83968-000-8 , 1-78984-537-8
    Series Statement: Artificial Intelligence 2
    Content: Swarm Intelligence has emerged as one of the most studied artificial intelligence branches during the last decade, constituting the fastest growing stream in the bio-inspired computation community. A clear trend can be deduced analyzing some of the most renowned scientific databases available, showing that the interest aroused by this branch has increased at a notable pace in the last years. This book describes the prominent theories and recent developments of Swarm Intelligence methods, and their application in all fields covered by engineering. This book unleashes a great opportunity for researchers, lecturers, and practitioners interested in Swarm Intelligence, optimization problems, and artificial intelligence.
    Note: English
    Additional Edition: ISBN 1-78984-536-X
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 9
    Online Resource
    Online Resource
    IntechOpen | Rijeka, Croatia :IntechOpen,
    UID:
    edoccha_9959046567202883
    Format: 1 online resource (140 pages) : , illustrations
    ISBN: 953-51-6297-7
    Content: This book aims at attracting the interest of researchers and practitioners around the applicability of meta-heuristic algorithms to practical scenarios arising from different knowledge disciplines. Emphasis is placed on evolutionary algorithms and swarm intelligence as computational means to efficiently balance the tradeoff between optimality of the produced solutions and the complexity derived from their estimation. In summary, this book serves as a good start point for early-stage investigators in the initial steps of their research on meta-heuristics, grounded on both a thorough literature review and the practical orientation of its contents.
    Note: English
    Additional Edition: ISBN 953-51-0913-8
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 10
    Online Resource
    Online Resource
    IntechOpen | Rijeka, Croatia :IntechOpen,
    UID:
    almahu_9949282259502882
    Format: 1 online resource (140 pages) : , illustrations
    ISBN: 953-51-6297-7
    Content: This book aims at attracting the interest of researchers and practitioners around the applicability of meta-heuristic algorithms to practical scenarios arising from different knowledge disciplines. Emphasis is placed on evolutionary algorithms and swarm intelligence as computational means to efficiently balance the tradeoff between optimality of the produced solutions and the complexity derived from their estimation. In summary, this book serves as a good start point for early-stage investigators in the initial steps of their research on meta-heuristics, grounded on both a thorough literature review and the practical orientation of its contents.
    Note: English
    Additional Edition: ISBN 953-51-0913-8
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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