9783030120436 - modern music-inspired optimization algorithms for electric power systems: modeling, analysis and practice de kiani-moghaddam, mohammad; shivaie, mojtaba; weinsier, philip d. (14 resultados)
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Editorial: Cham, Springer. 2019
Serie: Power Systems, Libro 119 de 153. Libro 119 de 153 - Power Systems
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XXVII, 727 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. Power Systems. Sprache: Englisch.
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Serie: Power Systems, Libro 119 de 153. Libro 119 de 153 - Power Systems
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Condición: 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 proble…ms 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.
Modern Music-Inspired Optimization Algorithms for Electric Power Systems: Modeling, Analysis and Practice
Kiani-Moghaddam, Mohammad; Shivaie, Mojtaba; Weinsier, Philip D.
Idioma: Inglés
Editorial: Springer 2019
Serie: Power Systems, Libro 119 de 153. Libro 119 de 153 - Power Systems
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Modern Music-Inspired Optimization Algorithms for Electric Power Systems: Modeling, Analysis and Practice
Kiani-Moghaddam, Mohammad, Shivaie, Mojtaba, Weinsier, Phili
Idioma: Inglés
Editorial: Springer 2019
Serie: Power Systems, Libro 119 de 153. Libro 119 de 153 - Power Systems
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Hardcover. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Idioma: Inglés
Editorial: Springer 2019
Serie: Power Systems, Libro 119 de 153. Libro 119 de 153 - Power Systems
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Modern Music-Inspired Optimization Algorithms for Electric Power Systems
Mohammad Kiani-Moghaddam, Mojtaba Shivaie, Philip D. Weinsier
Idioma: Inglés
Editorial: Springer Nature Switzerland AG, CH 2019
Serie: Power Systems, Libro 119 de 153. Libro 119 de 153 - Power Systems
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Hardback. Condición: New. 2019 ed.
Idioma: Inglés
Editorial: Springer 2019
Serie: Power Systems, Libro 119 de 153. Libro 119 de 153 - Power Systems
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Buch. Condición: 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 indispensabl…e 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.
Modern Music-Inspired Optimization Algorithms for Electric Power Systems: Modeling, Analysis and Practice
Kiani-Moghaddam, Mohammad (Author)/ Shivaie, Mojtaba (Author)/ Weinsier, Philip D. (Author)
Idioma: Inglés
Editorial: Springer 2019
Serie: Power Systems, Libro 119 de 153. Libro 119 de 153 - Power Systems
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Librería: Revaluation Books, Exeter, , Reino UnidoRevaluation Books
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Hardcover. Condición: Brand New. 727 pages. 9.50x6.25x1.75 inches. In Stock.
Idioma: Inglés
Editorial: Springer 2019
Serie: Power Systems, Libro 119 de 153. Libro 119 de 153 - Power Systems
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Librería: Kennys Bookstore, Olney, MD, Estados Unidos de AmericaKennys Bookstore
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Modern Music-Inspired Optimization Algorithms for Electric Power Systems: Modeling, Analysis and Practice
Mohammad Kiani-Moghaddam, Mojtaba Shivaie, Philip D. Weinsier
Idioma: Inglés
Editorial: Springer 2019
Serie: Power Systems, Libro 119 de 153. Libro 119 de 153 - Power Systems
- Tapa dura
Librería: Rarewaves.com UK, London, Reino UnidoRarewaves.com UK
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Book. Condición: New. 1st ed. 2019.
Idioma: Inglés
Editorial: Springer 2019
Serie: Power Systems, Libro 119 de 153. Libro 119 de 153 - Power 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 International Publishing 2019
Serie: Power Systems, Libro 119 de 153. Libro 119 de 153 - Power Systems
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Librería: moluna, Greven, , Alemaniamoluna
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Condición: 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 e…xisting architectures and deve.
Idioma: Inglés
Editorial: Springer International Publishing Mai 2019 2019
Serie: Power Systems, Libro 119 de 153. Libro 119 de 153 - Power Systems
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 756 pp. Englisch.
Idioma: Inglés
Editorial: Springer International Publishing, Springer International Publishing Mai 2019 2019
Serie: Power Systems, Libro 119 de 153. Libro 119 de 153 - Power Systems
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 756 pp. Englisch.
