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Da: Buchpark, Trebbin, Germania
EUR 120,60
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Aggiungi al carrelloCondizione: Hervorragend. Zustand: Hervorragend | Seiten: 756 | Sprache: Englisch | Produktart: Bücher | In today¿s world, with an increase in the breadth and scope of real-world engineering optimization problems as well as with the advent of big data, improving the performance and efficiency of algorithms for solving such problems has become an indispensable need for specialists and researchers. In contrast to conventional books in the field that employ traditional single-stage computational, single-dimensional, and single-homogeneous optimization algorithms, this book addresses multiple newfound architectures for meta-heuristic music-inspired optimization algorithms. These proposed algorithms, with multi-stage computational, multi-dimensional, and multi-inhomogeneous structures, bring about a new direction in the architecture of meta-heuristic algorithms for solving complicated, real-world, large-scale, non-convex, non-smooth engineering optimization problems having a non-linear, mixed-integer nature with big data. The architectures of these new algorithms may also be appropriate for finding an optimal solution or a Pareto-optimal solution set with higher accuracy and speed in comparison to other optimization algorithms, when feasible regions of the solution space and/or dimensions of the optimization problem increase. This book, unlike conventional books on power systems problems that only consider simple and impractical models, deals with complicated, techno-economic, real-world, large-scale models of power systems operation and planning. Innovative applicable ideas in these models make this book a precious resource for specialists and researchers with a background in power systems operation and planning. Provides an understanding of the optimization problems and algorithms, particularly meta-heuristic optimization algorithms, found in fields such as engineering, economics, management, and operations research; Enhances existing architectures and develops innovative architectures for meta-heuristic music-inspired optimization algorithms in order to deal with complicated, real-world, large-scale, non-convex, non-smooth engineering optimization problems having a non-linear, mixed-integer nature with big data; Addresses innovative multi-level, techno-economic, real-world, large-scale, computational-logical frameworks for power systems operation and planning, and illustrates practical training on implementation of the frameworks using the meta-heuristic music-inspired optimization algorithms.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 231,34
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Aggiungi al carrelloCondizione: New.
Da: California Books, Miami, FL, U.S.A.
EUR 233,72
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 215,80
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 224,33
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Aggiungi al carrelloCondizione: New. In.
Condizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 224,33
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Aggiungi al carrelloCondizione: New. In.
Condizione: New. pp. 727.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 245,84
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Condizione: As New. Unread book in perfect condition.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 249,65
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Springer Nature Switzerland AG, CH, 2019
ISBN 10: 3030120430 ISBN 13: 9783030120436
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 281,41
Quantità: Più di 20 disponibili
Aggiungi al carrelloHardback. Condizione: New. 2019 ed.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 219,37
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - In today's world, with an increase in the breadth and scope of real-world engineering optimization problems as well as with the advent of big data, improving the performance and efficiency of algorithms for solving such problems has become an indispensable need for specialists and researchers. In contrast to conventional books in the field that employ traditional single-stage computational, single-dimensional, and single-homogeneous optimization algorithms, this book addresses multiple newfound architectures for meta-heuristic music-inspired optimization algorithms. These proposed algorithms, with multi-stage computational, multi-dimensional, and multi-inhomogeneous structures, bring about a new direction in the architecture of meta-heuristic algorithms for solving complicated, real-world, large-scale, non-convex, non-smooth engineering optimization problems having a non-linear, mixed-integer nature with big data. The architectures of these new algorithms may also be appropriate for finding an optimal solution or a Pareto-optimal solution set with higher accuracy and speed in comparison to other optimization algorithms, when feasible regions of the solution space and/or dimensions of the optimization problem increase.This book, unlike conventional books on power systems problems that only consider simple and impractical models, deals with complicated, techno-economic, real-world, large-scale models of power systems operation and planning. Innovative applicable ideas in these models make this book a precious resource for specialists and researchers with a background in power systems operation and planning.Provides an understanding of the optimization problems and algorithms, particularly meta-heuristic optimization algorithms, found in fields such as engineering, economics, management, and operations research;Enhances existing architectures and develops innovative architectures for meta-heuristic music-inspired optimization algorithms in order to deal with complicated, real-world, large-scale, non-convex, non-smooth engineering optimization problems having a non-linear, mixed-integer nature with big data;Addresses innovative multi-level, techno-economic, real-world, large-scale, computational-logical frameworks for power systems operation and planning, and illustrates practical training on implementation of the frameworks using the meta-heuristic music-inspired optimization algorithms.
Da: Revaluation Books, Exeter, Regno Unito
EUR 306,77
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 756 pages. 9.25x6.10x1.51 inches. In Stock.
Da: Revaluation Books, Exeter, Regno Unito
EUR 308,90
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Aggiungi al carrelloHardcover. Condizione: Brand New. 727 pages. 9.50x6.25x1.75 inches. In Stock.
Da: Rarewaves.com UK, London, Regno Unito
EUR 265,27
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Aggiungi al carrelloBook. Condizione: New. 1st ed. 2019.
Da: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, Germania
EUR 359,90
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: gut. 2019. Modern Music-Inspired Optimization Algorithms for Electric Power Systems In deutscher Sprache. pages.
Lingua: Inglese
Editore: Springer International Publishing, 2019
ISBN 10: 3030120430 ISBN 13: 9783030120436
Da: moluna, Greven, Germania
EUR 180,07
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides an understanding of the optimization problems and algorithms, particularly meta-heuristic optimization algorithms, found in fields such as engineering, economics, management, and operations researchEnhances existing architectures and deve.
Lingua: Inglese
Editore: Springer International Publishing, 2020
ISBN 10: 3030120465 ISBN 13: 9783030120467
Da: moluna, Greven, Germania
EUR 180,07
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides an understanding of the optimization problems and algorithms, particularly meta-heuristic optimization algorithms, found in fields such as engineering, economics, management, and operations researchEnhances existing architectures and deve.
Da: Majestic Books, Hounslow, Regno Unito
EUR 257,43
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand pp. 727.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 258,41
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 727.