Adaptive Multi-scale Quantum Harmonic Oscillator Algorithm Based on Evolutionary Strategy

This paper proposes a novel adaptive multi-scale quantum harmonic oscillator algorithm based on evolutionary strategies (AMQHOA-ES) for global numerical optimization. Since the original Multi-scale Quantum Harmonic Oscillator Algorithm (MQHOA) utilizes a fixed contraction factor to narrow the search...

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Bibliographic Details

Published in:	2020 IEEE Congress on Evolutionary Computation (CEC) pp. 1 - 8
Main Authors:	Ye, Xinggui, Wang, Peng
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.07.2020
Subjects:	adaptive mechanism Benchmark testing Convergence differential evolution Evolutionary strategy Harmonic analysis multi-scale quantum harmonic oscillator algorithm Oscillators population-based optimization Sociology Statistics
Online Access:	Get full text
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