Description |
xiv, 153 pages : illustrations ; 25 cm |
Series |
Studies in computational intelligence, 1860-949X ; v. 121 |
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Studies in computational intelligence. 1860-949X ; v. 121
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Contents |
1. Gaussian Quantum-Behaved Particle Swarm Optimization Applied to Fuzzy PID Controller Design / Leandro dos Santos Coelho, Nadia Nedjah and Luiza de Macedo Mourelle -- 2. Quantum-inspired genetic algorithms for flow shop scheduling / Ling Wang and Bin-bin Li -- 3. Quantum Simulataneous Recurrent Networks for Content Addressable Memory / Raheel Allauddin, Stuart Boehmer, Elizabeth C. Behrman, Kavitha Gaddam and James E. Steck -- 4. Quantum Intelligent Mobile System / Chunlin Chen and Daoyi Dong -- 5. Quantum Associative Pattern Retrieval / Carlo A. Trugenberger and Cristina M. Diamantini -- 6. Quantum-Inspired Evolutionary Algorithm for Numerical Optimization / Andre Vargas Abs da Cruz, Marley M. B. R. Vellasco and Marco Aurelio C. Pacheco -- 7. Calibration of the VGSSD Option Pricing Model using a Quantum-inspired Evolutionary Algorithm / Kai Fan, Conall O'Sullivan, Anthony Brabazon, Michael O'Neill and Sean McGarraghy |
Summary |
"Research on applying principles of quantum computing to improve the engineering of intelligent systems has been launched since late 1990s. This emergent research field concentrates on studying on quantum computing that is characterized by certain principles of quantum mechanics such as standing waves, interference, quantum bits, coherence, superposition of states, and concept of interference, combined with computational intelligence or soft computing approaches, such as artificial neural networks, fuzzy systems, evolutionary computing, swarm intelligence and hybrid soft computing methods. This volume offers a wide spectrum of research work developed using soft computing combined with quantum computing systems."--BOOK JACKET |
Bibliography |
Includes bibliographical references and index |
Subject |
Quantum computers.
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Author |
Nedjah, Nadia.
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Coelho, Leandro dos Santos.
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Macedo Mourelle, Luiza de.
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LC no. |
2008923731 |
ISBN |
9783540785316 (hardcover : alk. paper) |
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