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In den WarenkorbPaperback. Zustand: Brand New. 397 pages. 9.00x6.00x0.75 inches. In Stock.
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In den WarenkorbZustand: 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.
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In den WarenkorbHardcover. Zustand: Brand New. 1st edition. 256 pages. 9.29x6.14x1.02 inches. In Stock.
Sprache: Englisch
Verlag: Taylor & Francis Inc Dez 2011, 2011
ISBN 10: 1439835764 ISBN 13: 9781439835760
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: 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.
Zustand: New. Series: Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series. Num Pages: 419 pages, 126 black & white illustrations, 59 black & white tables. BIC Classification: UMB; UYQ. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 164 x 237 x 28. Weight in Grams: 724. . 2011. 1st Edition. hardcover. . . . . Books ship from the US and Ireland.
Zustand: New. Series: Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series. Num Pages: 419 pages, 126 black & white illustrations, 59 black & white tables. BIC Classification: UMB; UYQ. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 164 x 237 x 28. Weight in Grams: 724. . 2011. 1st Edition. hardcover. . . . .
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In den WarenkorbPaperback / softback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Taschenbuch. Zustand: 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.