Quantum Inspired Intelligent Systems
by
 
Nedjah, Nadia. editor.

Title
Quantum Inspired Intelligent Systems

Author
Nedjah, Nadia. editor.

ISBN
9783540785323

Physical Description
XIV, 156 p. online resource.

Series
Studies in Computational Intelligence, 121

Contents
Gaussian Quantum-Behaved Particle Swarm Optimization Applied to Fuzzy PID Controller Design -- Quantum-inspired genetic algorithms for flow shop scheduling -- Quantum Simulataneous Recurrent Networks for Content Addressable Memory -- Quantum Intelligent Mobile System -- Quantum Associative Pattern Retrieval -- Quantum-Inspired Evolutionary Algorithm for Numerical Optimization -- Calibration of the VGSSD Option Pricing Model using a Quantum-inspired Evolutionary Algorithm.

Abstract
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.

Subject Term
Engineering.
 
Artificial intelligence.
 
Quantum theory.
 
Engineering mathematics.
 
Appl.Mathematics/Computational Methods of Engineering.
 
Artificial Intelligence (incl. Robotics).
 
Quantum Physics.
 
Quantum Information Technology, Spintronics.

Added Author
Nedjah, Nadia.
 
Coelho, Leandro dos Santos.
 
Mourelle, Luiza de Macedo.

Added Corporate Author
SpringerLink (Online service)

Electronic Access
http://dx.doi.org/10.1007/978-3-540-78532-3


LibraryMaterial TypeItem BarcodeShelf NumberStatus
IYTE LibraryE-Book503388-1001TA329 -348Online Springer