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Taschenbuch. Condition: Neu. Evolutionary and Swarm Intelligence Algorithms | Jagdish Chand Bansal (u. a.) | Taschenbuch | x | Englisch | 2019 | Springer | EAN 9783030082291 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Published by Springer International Publishing, Springer Nature Switzerland, 2019
ISBN 10: 3030082296 ISBN 13: 9783030082291
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is a delight for academics, researchers and professionals working in evolutionary and swarm computing, computational intelligence, machine learning and engineering design, as well as search and optimization in general. It provides an introduction to the design and development of a number of popular and recent swarm and evolutionary algorithms with a focus on their applications in engineering problems in diverse domains. The topics discussed include particle swarm optimization, the artificial bee colony algorithm, Spider Monkey optimization algorithm, genetic algorithms, constrained multi-objective evolutionary algorithms, genetic programming, and evolutionary fuzzy systems. A friendly and informative treatment of the topics makes this book an ideal reference for beginners and those with experience alike.
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is a delight for academics, researchers and professionals working in evolutionary and swarm computing, computational intelligence, machine learning and engineering design, as well as search and optimization in general. It provides an introduction to the design and development of a number of popular and recent swarm and evolutionary algorithms with a focus on their applications in engineering problems in diverse domains. The topics discussed include particle swarm optimization, the artificial bee colony algorithm, Spider Monkey optimization algorithm, genetic algorithms, constrained multi-objective evolutionary algorithms, genetic programming, and evolutionary fuzzy systems. A friendly and informative treatment of the topics makes this book an ideal reference for beginners and those with experience alike.
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Hardcover. Condition: new. Hardcover. This reprint showcases recent advances in swarm intelligence (SI) and evolutionary computation (EC), emphasising their capacity to address complex, data-intensive, and noise-prone real-world problems where conventional methods often fall short. The collected works highlight how the self-organising and adaptive nature of SI and EC enables robust search, optimisation, and modeling across diverse domains.The contributions span finance, healthcare, hardware design, energy systems, molecular biology, and intelligent environments. They include hybrid neural-evolutionary strategies for portfolio optimisation, evolutionary approaches for identifying circadian-modulating molecules, and grammatical evolution for automatic generation of synthesizable hardware code. Bio-inspired multi-objective optimisation is applied to early voice-disorder detection, while particle swarm optimisation supports optimal placement of electric-vehicle parking infrastructure. New algorithmic developments-such as a swarm optimiser and symbiotic organism search-based unsupervised feature selection-advance global optimisation and data analytics. Finally, a QPSO-based hybrid technique enhances indoor positioning by fusing WLAN and WSN data.Together, these papers demonstrate the versatility and growing impact of SI and EC techniques, fostering dialogue among emerging and established researchers and advancing their application to pressing real-world challenges. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Seller: Biblios, Frankfurt am main, HESSE, Germany
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Published by Taylor & Francis Ltd, 2019
ISBN 10: 0367257572 ISBN 13: 9780367257576
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