Swarm Intelligence Optimization Algorithms (36 results)
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Taschenbuch. Condition: Neu. 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 | Satish Kumar Injeti (u. a.) | Taschenbuch | 72 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330023680 |…Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Language: English
Published by Springer, 2018
Series: Book 197 of 538 - Studies in Computational Intelligence
- Softcover
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Language: English
Published by Springer, 2017
Series: Book 197 of 538 - Studies in Computational Intelligence
- Hardcover
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Language: English
Published by Springer, 2018
Series: Book 197 of 538 - Studies in Computational Intelligence
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Condition: New. Softcover reprint of the original 1st ed. 2017 edition NO-PA16APR2015-KAP.
Language: English
Published by Springer, 2020
Series: Book 425 of 538 - Studies in Computational Intelligence
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Language: English
Published by Springer, 2021
Series: Book 425 of 538 - Studies in Computational Intelligence
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Published by Springer, 2018
Series: Book 197 of 538 - Studies in Computational Intelligence
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Published by Springer, 2020
Series: Book 425 of 538 - Studies in Computational Intelligence
- Hardcover
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Language: English
Published by Springer, 2021
Series: Book 425 of 538 - Studies in Computational Intelligence
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Taschenbuch. Condition: Neu. Metaheuristic Optimization: Nature-Inspired Algorithms Swarm and Computational Intelligence, Theory and Applications | Modestus O. Okwu (u. a.) | Taschenbuch | xii | Englisch | 2021 | Springer | EAN 9783030611132 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heid…elberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Language: English
Published by Springer International Publishing, 2021
Series: Book 425 of 538 - Studies in Computational Intelligence
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. 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.
Language: English
Published by Springer International Publishing, 2020
Series: Book 425 of 538 - Studies in Computational Intelligence
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. 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 so…lving 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.
Language: English
Published by Springer, 2021
Series: Book 425 of 538 - Studies in Computational Intelligence
- Softcover
Seller: Studibuch, Stuttgart, GermanyStudibuch
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paperback. Condition: Gut. 204 Seiten; 9783030611132.3 Gewicht in Gramm: 500.
Language: English
Published by Springer Nature, 2021
Series: Book 425 of 538 - Studies in Computational Intelligence
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Hardcover. Condition: Brand New. 204 pages. 9.25x6.10x0.71 inches. In Stock.
Language: English
Published by Springer Nature, 2021
Series: Book 425 of 538 - Studies in Computational Intelligence
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Paperback. Condition: Brand New. 204 pages. 9.25x6.10x0.46 inches. In Stock.
Language: English
Published by Springer, 2020
Series: Book 425 of 538 - Studies in Computational Intelligence
- Hardcover
Seller: Mispah books, Redhill, SURRE, United KingdomMispah books
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Hardcover. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
- Hardcover
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Hardcover. Condition: Brand New. 362 pages. 9.00x6.00x1.00 inches. In Stock.
Published by Books LLC, Reference Series, 2014
- Softcover
Seller: Buchpark, Trebbin, GermanyBuchpark
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Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Source: Wikipedia. Pages: 90. Chapters: Newton's method, Genetic algorithm, Greedy algorithm, Dynamic programming, Minimax, Alpha-beta pruning, Random optimization, Simulated annealing, CMA-ES, Simplex algorithm, Swarm intelligence, Particle swarm…optimization, Criss-cross algorithm, Imperialist competitive algorithm, Divide and conquer algorithm, Harmony search, Bees algorithm, Differential evolution, Matrix chain multiplication, Bin packing problem, Evolutionary algorithm, Nelder¿Mead method, Extremal optimization, Hill climbing, IOSO, Reactive search optimization, Cutting-plane method, Guided Local Search, Automatic label placement, Karmarkar's algorithm, Cuckoo search, Evolutionary multi-modal optimization, Job shop scheduling, Cross-entropy method, Meta-optimization, Interior point method, Crew scheduling, Auction algorithm, Artificial Bee Colony Algorithm, Tabu search, Augmented Lagrangian method, Firefly algorithm, BRST algorithm, Quantum annealing, Pattern search, Graduated optimization, Branch and bound, Fourier¿Motzkin elimination, Random search, Bland's rule, Maximum subarray problem, Negamax, Genetic algorithms in economics, Tree rearrangement, Glowworm swarm optimization, Sequential minimal optimization, Branch and cut, Delayed column generation, Very large-scale neighborhood search, Mehrotra predictor-corrector method, Penalty method, BHHH algorithm, Evolutionary programming, Destination dispatch, Great Deluge algorithm, Iterated local search, Big M method, Lemke's algorithm, Sequence-dependent setup, Ordered subset expectation maximization, MCS algorithm, Zionts¿Wallenius method, Biologically inspired algorithms, Rosenbrock methods, Stochastic hill climbing, Optimization algorithm. Excerpt: A genetic algorithm (GA) is a search heuristic that mimics the process of natural evolution. This heuristic is routinely used to generate useful solutions to optimization and search problems. Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover. In a genetic algorithm, a population of strings (called chromosomes or the genotype of the genome), which encode candidate solutions (called individuals, creatures, or phenotypes) to an optimization problem, evolves toward better solutions. Traditionally, solutions are represented in binary as strings of 0s and 1s, but other encodings are also possible. The evolution usually starts from a population of randomly generated individuals and happens in generations. In each generation, the fitness of every individual in the population is evaluated, multiple individuals are stochastically selected from the current population (based on their fitness), and modified (recombined and possibly randomly mutated) to form a new population. The new population is then used in the next iteration of the algorithm. Commonly, the algorithm terminates when either a maximum number of generations has been produced, or a satisfactory fitness level has been reached for the population. If the algorithm has terminated due to a maximum number of generations, a satisfactory solution may or may not have been reached. Genetic algorithms find application in bioinformatics, phylogenetics, computational science, engineering, economics, chemistry, manufacturing, mathematics, physics and other fields. A typical genetic algorithm requires..
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Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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- Softcover
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Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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- Softcover
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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. 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 effici…ent 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.
Language: English
Published by Springer, 2021
Series: Book 425 of 538 - Studies in Computational Intelligence
- Softcover
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Seller: Brook Bookstore On Demand, Napoli, NA, ItalyBrook Bookstore On Demand
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Language: English
Published by Springer, 2020
Series: Book 425 of 538 - Studies in Computational Intelligence
- Hardcover
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Language: English
Published by Springer, 2018
Series: Book 197 of 538 - Studies in Computational Intelligence
- Softcover
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Language: English
Published by Springer, 2018
Series: Book 197 of 538 - Studies in Computational Intelligence
- Softcover
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Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Language: English
Published by Springer International Publishing Nov 2021, 2021
Series: Book 425 of 538 - Studies in Computational Intelligence
- Softcover
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - 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 optimiz…ation 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. 204 pp. Englisch.
Language: English
Published by Springer International Publishing Nov 2020, 2020
Series: Book 425 of 538 - Studies in Computational Intelligence
- Hardcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - 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 t…echniques 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. 204 pp. Englisch.
Language: English
Published by Springer International Publishing, 2020
Series: Book 425 of 538 - Studies in Computational Intelligence
- Hardcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduction to metaheuristic techniques and algorithms, biomimicry and nature-inspired algorithms with swarm intelligence and presents the basics of the algorithmsProvides a guide of how to develop algorith…ms from nature-insp.
Language: English
Published by Springer, Berlin|Springer International Publishing|Springer, 2021
Series: Book 425 of 538 - Studies in Computational Intelligence
- Softcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 lio…n optimization algorithm, grasshopper op.
