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Automatic Speed Tracking of PMSM Drive: A Swarm Intelligence Approach: Optimal PID Gain Scheduling for Speed Control of PMSM Drive using Bio Inspired Optimization Algorithms
Published by LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3330023686 ISBN 13: 9783330023680
Language: English
US$ 70.72
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Add to basketPaperback. Condition: Brand New. 72 pages. 8.66x5.91x0.17 inches. In Stock.
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US$ 116.44
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Optimization algorithms : Newton's method, Genetic algorithm, Greedy algorithm, Dynamic programming, Minimax, Alpha-beta pruning, Random optimization, Simulated annealing, CMA-ES, Simplex algorithm, Swarm intelligence, Particl
Published by Books LLC, Reference Series, 2014
ISBN 10: 1156553881 ISBN 13: 9781156553886
US$ 19.70
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Seiten: 90 | Sprache: Englisch | Produktart: Bücher.
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Glowworm Swarm Optimization: Theory, Algorithms, and Applications (Studies in Computational Intelligence, 698)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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US$ 130.25
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Glowworm Swarm Optimization: Theory, Algorithms, and Applications (Studies in Computational Intelligence, 698)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 135.09
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Metaheuristic Optimization: Nature-Inspired Algorithms Swarm and Computational Intelligence, Theory and Applications (Studies in Computational Intelligence, 927)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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US$ 171.76
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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
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Metaheuristic Optimization: Nature-Inspired Algorithms Swarm and Computational Intelligence, Theory and Applications
Published by Springer International Publishing, 2021
ISBN 10: 3030611132 ISBN 13: 9783030611132
Language: English
US$ 192.03
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book exemplifies how algorithms are developed by mimicking nature. Classical techniques for solving day-to-day problems is time-consuming and cannot address complex problems. Metaheuristic algorithms are nature-inspired optimization techniques for solving real-life complex problems. This book emphasizes the social behaviour of insects, animals and other natural entities, in terms of converging power and benefits. Major nature-inspired algorithms discussed in this book include the bee colony algorithm, ant colony algorithm, grey wolf optimization algorithm, whale optimization algorithm, firefly algorithm, bat algorithm, ant lion optimization algorithm, grasshopper optimization algorithm, butterfly optimization algorithm and others. The algorithms have been arranged in chapters to help readers gain better insight into nature-inspired systems and swarm intelligence. All the MATLAB codes have been provided in the appendices of the book to enable readers practice how to solve examplesincluded in all sections. This book is for experts in Engineering and Applied Sciences, Natural and Formal Sciences, Economics, Humanities and Social Sciences.
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Metaheuristic Optimization: Nature-Inspired Algorithms Swarm and Computational Intelligence, Theory and Applications
Published by Springer International Publishing, 2020
ISBN 10: 3030611108 ISBN 13: 9783030611101
Language: English
US$ 192.03
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book exemplifies how algorithms are developed by mimicking nature. Classical techniques for solving day-to-day problems is time-consuming and cannot address complex problems. Metaheuristic algorithms are nature-inspired optimization techniques for solving real-life complex problems. This book emphasizes the social behaviour of insects, animals and other natural entities, in terms of converging power and benefits. Major nature-inspired algorithms discussed in this book include the bee colony algorithm, ant colony algorithm, grey wolf optimization algorithm, whale optimization algorithm, firefly algorithm, bat algorithm, ant lion optimization algorithm, grasshopper optimization algorithm, butterfly optimization algorithm and others. The algorithms have been arranged in chapters to help readers gain better insight into nature-inspired systems and swarm intelligence. All the MATLAB codes have been provided in the appendices of the book to enable readers practice how to solve examplesincluded in all sections. This book is for experts in Engineering and Applied Sciences, Natural and Formal Sciences, Economics, Humanities and Social Sciences.
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US$ 196.49
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Add to basketPaperback. Condition: New. New. book.
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Condition: As New. Unread book in perfect condition.
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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
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Metaheuristic Optimization: Nature-Inspired Algorithms Swarm and Computational Intelligence, Theory and Applications
Published by Springer International Publishing, Springer International Publishing Nov 2020, 2020
ISBN 10: 3030611108 ISBN 13: 9783030611101
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
US$ 192.03
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Add to basketBuch. Condition: Neu. Neuware -This book exemplifies how algorithms are developed by mimicking nature. Classical techniques for solving day-to-day problems is time-consuming and cannot address complex problems. Metaheuristic algorithms are nature-inspired optimization techniques for solving real-life complex problems. This book emphasizes the social behaviour of insects, animals and other natural entities, in terms of converging power and benefits. Major nature-inspired algorithms discussed in this book include the bee colony algorithm, ant colony algorithm, grey wolf optimization algorithm, whale optimization algorithm, firefly algorithm, bat algorithm, ant lion optimization algorithm, grasshopper optimization algorithm, butterfly optimization algorithm and others. The algorithms have been arranged in chapters to help readers gain better insight into nature-inspired systems and swarm intelligence. All the MATLAB codes have been provided in the appendices of the book to enable readers practice how to solve examplesincluded in all sections. This book is for experts in Engineering and Applied Sciences, Natural and Formal Sciences, Economics, Humanities and Social Sciences.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 204 pp. Englisch.
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Condition: New.
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Swarm Intelligence Optimization : Algorithms and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 242.70
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Swarm Intelligence Optimization : Algorithms and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 247.67
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Swarm Intelligence Optimization: Algorithms and Applications
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 258.89
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US$ 271.63
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Add to basketHardcover. Condition: Brand New. 204 pages. 9.25x6.10x0.71 inches. In Stock.
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US$ 283.91
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Add to basketPaperback. Condition: Brand New. 204 pages. 9.25x6.10x0.46 inches. In Stock.
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US$ 244.66
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Add to basketGebunden. Condition: New. Abhishek Kumar gained his PhD in computer science from the University of Madras, India in 2019. He is assistant professor at Chitkara University and has more than 80 publications in peer-reviewed international and national journals, books & conferences His .
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Swarm Intelligence Optimization: Algorithms and Applications
Published by John Wiley & Sons Inc, 2021
ISBN 10: 1119778743 ISBN 13: 9781119778745
Language: English
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
First Edition
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Add to basketCondition: New. 2021. 1st Edition. Hardcover. . . . . .
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US$ 317.82
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Add to basketHardcover. Condition: Brand New. 362 pages. 9.00x6.00x1.00 inches. In Stock.
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US$ 301.82
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Add to basketBuch. Condition: Neu. Neuware - Resource optimization has always been a thrust area of research, and as the Internet of Things (IoT) is the most talked about topic of the current era of technology, it has become the need of the hour. Therefore, the idea behind this book was to simplify the journey of those who aspire to understand resource optimization in the IoT. To this end, included in this book are various real-time/offline applications and algorithms/case studies in the fields of engineering, computer science, information security, and cloud computing, along with the modern tools and various technologies used in systems, leaving the reader with a high level of understanding of various techniques and algorithms used in resource optimization.
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Swarm Intelligence Optimization: Algorithms and Applications
Published by John Wiley & Sons Inc, 2021
ISBN 10: 1119778743 ISBN 13: 9781119778745
Language: English
Condition: New. 2021. 1st Edition. Hardcover. . . . . . Books ship from the US and Ireland.
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Applying Swarm Intelligence Algorithms in Logistics Optimization
Published by Continental Academy Press, London
Seller: Continental Academy Press, London, SELEC, United Kingdom
Seller rating 5 out of 5 stars
US$ 14.23
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Add to basketSoftcover. Condition: New. Dust Jacket Condition: no dj. First. Applying Swarm Intelligence Algorithms in Logistics Optimization explores the use of nature-inspired algorithms such as ant colony and particle swarm optimization to enhance supply chain efficiency. This book discusses the principles behind these algorithms and their practical implementation in solving complex routing and scheduling problems. It emphasizes the potential for improving operational costs and delivery times through decentralized, adaptive systems. The work is particularly relevant for logistics professionals seeking innovative approaches to optimize distribution networks. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.
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Designing Algorithms Based on Swarm Intelligence for Traffic Optimization
Published by Continental Academy Press, London
Seller: Continental Academy Press, London, SELEC, United Kingdom
Seller rating 5 out of 5 stars
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Add to basketSoftcover. Condition: New. Dust Jacket Condition: no dj. First. Traffic congestion is a major challenge facing urban planners and transportation engineers, but traditional approaches to traffic management often fail to address the complex dynamics of urban traffic systems. This book presents a new approach to traffic optimization based on swarm intelligence, which draws inspiration from the collective behavior of insects and animals. By developing algorithms that mimic the behavior of swarms, the author demonstrates how to create more efficient and adaptive traffic management systems that can respond to changing traffic conditions in real-time. The book provides a detailed explanation of the theoretical foundations of swarm intelligence and its application to traffic optimization, including the use of machine learning and data analytics. It also offers practical guidance on how to design and implement swarm-based traffic management systems in urban environments. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.
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Automatic Speed Tracking of PMSM Drive: A Swarm Intelligence Approach : Optimal PID Gain Scheduling for Speed Control of PMSM Drive using Bio Inspired Optimization Algorithms
Published by LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3330023686 ISBN 13: 9783330023680
Language: English
US$ 42.96
Convert currencyUS$ 33.25 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - PID controller is a most popular controller in industry. The performance of PID controller depends on proper scheduling of gains which is a difficult task due to uncertainties in the industry. In this context this book presents an efficient methodology for automatic speed tracking of PMSM drive using bio inspired optimization based PID controller. PSO, BAT and FFA based online gain scheduling of PID controller for speed control of PMSM drive was developed and implemented with the help of various objective functions. From the obtained results it can concluded that among ISE, IAE, ITSE and ITAE, ITAE is the best objective function for gain scheduling of PID controller for speed control of PMSM drive. Among PSO+PID, BAT+PID and FFA+PID, PSO+PID are proven to be robust as it was applied to control the speed of PMSM drive at different reference speeds. I hope this book is most useful for the researchers and masters level students who were in the area of control of electric drives.
