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Quantum Inspired Computational Intelligence
book

Quantum Inspired Computational Intelligence

by Siddhartha Bhattacharyya, Ujjwal Maulik, Paramartha Dutta
September 2016
Intermediate to advanced
506 pages
15h 38m
English
Morgan Kaufmann
Content preview from Quantum Inspired Computational Intelligence
Chapter 4

Design of cellular quantum-inspired evolutionary algorithms with random topologies

N. Mania; Gursarana; A. Manib    a Dayalbagh Educational Institute, Agra, UP, Indiab Amity School of Engineering and Technology, Amity University Uttar Pradesh, Noida,UP, India

Abstract

Quantum-inspired evolutionary algorithms (QEAs) are designed by the integration of principles from quantum mechanics into the framework of evolutionary algorithms. QEAs are characterized by Q-bit representation, variation operators such as rotation gates, measurement operators, and population structures. Recently the effect of population models and static topologies on the performance of QEAs was investigated. This chapter presents the design of cellular quantum-inspired ...

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Publisher Resources

ISBN: 9780128044377