Second fitness selection QPSO and SA cooperative search for large-scale discrete optimization algorithm

To address the large-scale discrete optimization problem,a cooperative optimization algorithm called IDQPSO-SA was proposed.First,a strategy by applying two selections on the averaging fitness values to update the mean best position was presented,which could overcome the deficiency that QPSO was not...

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Main Authors: Zhaojuan ZHANG, Wanliang WANG, Jijun TANG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2020-08-01
Series:Tongxin xuebao
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Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020173/
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author Zhaojuan ZHANG
Wanliang WANG
Jijun TANG
author_facet Zhaojuan ZHANG
Wanliang WANG
Jijun TANG
author_sort Zhaojuan ZHANG
collection DOAJ
description To address the large-scale discrete optimization problem,a cooperative optimization algorithm called IDQPSO-SA was proposed.First,a strategy by applying two selections on the averaging fitness values to update the mean best position was presented,which could overcome the deficiency that QPSO was not applicable for discrete problems.Second,the double cut joining (DCJ) sorting strategy was incorporated into IDQPSO-SA,since the DCJ sorting strategy could considerably reduce the search space.Finally,the probability jumping ability of simulated annealing (SA) was combined with the parallel search of QPSO,and the global search was carried out collaboratively.By comparing with existing algorithms,the experimental results show that IDQPSO-SA further improves the search efficiency and has a comparable performance when faced with large-scale discrete optimization problems.
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institution Kabale University
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publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-896579d096bc403c8e3c0c35649ad61c2025-01-14T07:19:25ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2020-08-0141223159735865Second fitness selection QPSO and SA cooperative search for large-scale discrete optimization algorithmZhaojuan ZHANGWanliang WANGJijun TANGTo address the large-scale discrete optimization problem,a cooperative optimization algorithm called IDQPSO-SA was proposed.First,a strategy by applying two selections on the averaging fitness values to update the mean best position was presented,which could overcome the deficiency that QPSO was not applicable for discrete problems.Second,the double cut joining (DCJ) sorting strategy was incorporated into IDQPSO-SA,since the DCJ sorting strategy could considerably reduce the search space.Finally,the probability jumping ability of simulated annealing (SA) was combined with the parallel search of QPSO,and the global search was carried out collaboratively.By comparing with existing algorithms,the experimental results show that IDQPSO-SA further improves the search efficiency and has a comparable performance when faced with large-scale discrete optimization problems.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020173/cooperative searchQPSOSADCJ sortingdiscrete optimization
spellingShingle Zhaojuan ZHANG
Wanliang WANG
Jijun TANG
Second fitness selection QPSO and SA cooperative search for large-scale discrete optimization algorithm
Tongxin xuebao
cooperative search
QPSO
SA
DCJ sorting
discrete optimization
title Second fitness selection QPSO and SA cooperative search for large-scale discrete optimization algorithm
title_full Second fitness selection QPSO and SA cooperative search for large-scale discrete optimization algorithm
title_fullStr Second fitness selection QPSO and SA cooperative search for large-scale discrete optimization algorithm
title_full_unstemmed Second fitness selection QPSO and SA cooperative search for large-scale discrete optimization algorithm
title_short Second fitness selection QPSO and SA cooperative search for large-scale discrete optimization algorithm
title_sort second fitness selection qpso and sa cooperative search for large scale discrete optimization algorithm
topic cooperative search
QPSO
SA
DCJ sorting
discrete optimization
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020173/
work_keys_str_mv AT zhaojuanzhang secondfitnessselectionqpsoandsacooperativesearchforlargescalediscreteoptimizationalgorithm
AT wanliangwang secondfitnessselectionqpsoandsacooperativesearchforlargescalediscreteoptimizationalgorithm
AT jijuntang secondfitnessselectionqpsoandsacooperativesearchforlargescalediscreteoptimizationalgorithm