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...

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Vydané v:	IEEE access Ročník 7; s. 90055 - 90068
Hlavní autori:	Ye, Xinggui, Wang, Peng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
On-line prístup:	Získať plný text
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