Condition: As New. Unread book in perfect condition.
hardcover. Condition: Good. Ex-library copy with usual markings, otherwise good condition with unscratched disk.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Condition: New.
Language: English
Published by Taylor & Francis Ltd, 2019
ISBN 10: 0367381931 ISBN 13: 9780367381936
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
Condition: New. 1st edition NO-PA16APR2015-KAP.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 83.05
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Add to basketCondition: New. In.
Condition: New.
Language: English
Published by Routledge 2019-09-19, 2019
ISBN 10: 0367381931 ISBN 13: 9780367381936
Seller: Chiron Media, Wallingford, United Kingdom
£ 80.80
Quantity: Over 20 available
Add to basketPaperback. Condition: New.
Paperback. Condition: Brand New. 397 pages. 9.00x6.00x0.75 inches. In Stock.
Condition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
Condition: As New. Unread book in perfect condition.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
Condition: New.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Language: English
Published by Taylor & Francis Inc Dez 2011, 2011
ISBN 10: 1439835764 ISBN 13: 9781439835760
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Neuware - Although the particle swarm optimisation (PSO) algorithm requires relatively few parameters and is computationally simple and easy to implement, it is not a globally convergent algorithm. In Particle Swarm Optimisation: Classical and Quantum Perspectives, the authors introduce their concept of quantum-behaved particles inspired by quantum mechanics, which leads to the quantum-behaved particle swarm optimisation (QPSO) algorithm. This globally convergent algorithm has fewer parameters, a faster convergence rate, and stronger searchability for complex problems. The book presents the concepts of optimisation problems as well as random search methods for optimisation before discussing the principles of the PSO algorithm. Examples illustrate how the PSO algorithm solves optimisation problems. The authors also analyse the reasons behind the shortcomings of the PSO algorithm. Moving on to the QPSO algorithm, the authors give a thorough overview of the literature on QPSO, describe the fundamental model for the QPSO algorithm, and explore applications of the algorithm to solve typical optimisation problems.They also discuss some advanced theoretical topics, including the behaviour of individual particles, global convergence, computational complexity, convergence rate, and parameter selection. The text closes with coverage of several real-world applications, including inverse problems, optimal design of digital filters, economic dispatch problems, biological multiple sequence alignment, and image processing. MATLAB(R), Fortran, and C++ source codes for the main algorithms are provided on an accompanying CD-ROM. Helping you numerically solve optimisation problems, this book focuses on the fundamental principles and applications of PSO and QPSO algorithms. It not only explains how to use the algorithms, but also covers advanced topics that establish the groundwork for understanding state-of-the-art research in the field.
Language: English
Published by Taylor & Francis Ltd, 2019
ISBN 10: 0367381931 ISBN 13: 9780367381936
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Helping readers numerically solve optimization problems, this book focuses on the fundamental principles and applications of PSO and QPSO algorithms. The authors develop their novel QPSO algorithm, a PSO variant motivated from quantum mechanics, and show how to implement it in real-world applications, including inverse problems, digital filter d.