Multi-Scale Quantum Harmonic Oscillator Algorithm With Centroid Motion for Global Numerical Optimization Problems

This paper proposes a new approach for function optimization using a new variant of multi-scale quantum harmonic optimization algorithm (MQHOA). The new approach introduces a centroid motion to improve the convergence efficiency, which is called MQHOA with centroid motion (CM-MQHOA). Instead of repl...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE access Vol. 7; pp. 90055 - 90068
Main Authors:	Ye, Xinggui, Wang, Peng
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Artificial intelligence Benchmark testing Benchmarks centroid motion Centroids Convergence global optimization Harmonic analysis Harmonic oscillators heuristic algorithm Heuristic algorithms Multi-scale quantum harmonic oscillator algorithm Optimization Oscillators population-based algorithm Stationary state
ISSN:	2169-3536, 2169-3536
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!