MQHOA algorithm with energy level stabilizing process

An improved multi-scale quantum harmonic oscillator algorithm (MQHOA) with energy level stabilizing process was proposed analogizing to quantum harmonic oscillator's wave function. Inspired by quantum model, the op-timization problem was transformed to finding ground state wave function of boun...

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Main Authors: Peng WANG, Yan HUANG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2016-07-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016136/
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author Peng WANG
Yan HUANG
author_facet Peng WANG
Yan HUANG
author_sort Peng WANG
collection DOAJ
description An improved multi-scale quantum harmonic oscillator algorithm (MQHOA) with energy level stabilizing process was proposed analogizing to quantum harmonic oscillator's wave function. Inspired by quantum model, the op-timization problem was transformed to finding ground state wave function of bound state. Harmonic oscillator potential well was used to approach objective function under the condition of Taylor approximation. Energy level stabilization, en-ergy level reduction, scale reduction were the basic iterative convergence processes of MQHOA, coinciding with its physical model. Only one subjective control parameter was needed in MQHOA whose wave function and zero-point en-ergy were defined with reference to quantum model. Experimental results show that MQHOA's performance is superior to several other common optimization algorithms. For high dimensional testing functions including Ackley、Griewank、Sphere、Sum Squares、Zakharov, etc, the global optimums can be obtained precisely with 100% probability.
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series Tongxin xuebao
spelling doaj-art-d2aae9ec842e42f08314cdec68bfce4b2025-01-14T06:55:45ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2016-07-0137798659702134MQHOA algorithm with energy level stabilizing processPeng WANGYan HUANGAn improved multi-scale quantum harmonic oscillator algorithm (MQHOA) with energy level stabilizing process was proposed analogizing to quantum harmonic oscillator's wave function. Inspired by quantum model, the op-timization problem was transformed to finding ground state wave function of bound state. Harmonic oscillator potential well was used to approach objective function under the condition of Taylor approximation. Energy level stabilization, en-ergy level reduction, scale reduction were the basic iterative convergence processes of MQHOA, coinciding with its physical model. Only one subjective control parameter was needed in MQHOA whose wave function and zero-point en-ergy were defined with reference to quantum model. Experimental results show that MQHOA's performance is superior to several other common optimization algorithms. For high dimensional testing functions including Ackley、Griewank、Sphere、Sum Squares、Zakharov, etc, the global optimums can be obtained precisely with 100% probability.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016136/optimization algorithmfunction optimizationMQHOAwave functionground state
spellingShingle Peng WANG
Yan HUANG
MQHOA algorithm with energy level stabilizing process
Tongxin xuebao
optimization algorithm
function optimization
MQHOA
wave function
ground state
title MQHOA algorithm with energy level stabilizing process
title_full MQHOA algorithm with energy level stabilizing process
title_fullStr MQHOA algorithm with energy level stabilizing process
title_full_unstemmed MQHOA algorithm with energy level stabilizing process
title_short MQHOA algorithm with energy level stabilizing process
title_sort mqhoa algorithm with energy level stabilizing process
topic optimization algorithm
function optimization
MQHOA
wave function
ground state
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016136/
work_keys_str_mv AT pengwang mqhoaalgorithmwithenergylevelstabilizingprocess
AT yanhuang mqhoaalgorithmwithenergylevelstabilizingprocess