Multi-Scale Quantum Harmonic Oscillator Algorithm With Truncated Mean Stabilization Strategy for Global Numerical Optimization Problems

A multi-scale quantum harmonic oscillator algorithm (MQHOA) is a quantum population-based algorithm proposed recently. It utilizes the quantum wave function to locate the global optimum of a global numerical optimization problem. As the MQHOA employs the elitism to replace the worst particle in each...

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Bibliographic Details
Published in:	IEEE access Vol. 7; pp. 18926 - 18939
Main Authors:	Ye, Xinggui, Wang, Peng, Xin, Gang, Jin, Jin, Huang, Yan
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Convergence Energy states Harmonic analysis Harmonic oscillators Iterative methods Multi-scale quantum harmonic oscillator algorithm Optimization Oscillators Particle swarm optimization population-based algorithm Sociology Stabilization Statistics stochastic algorithm Swarm intelligence truncated mean stabilization strategy Wave functions
ISSN:	2169-3536, 2169-3536
Online Access:	Get full text
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