M-elite coevolutionary kinetic-molecular theory optimization algorithm

M-elite coevolutionary kinetic-molecular theory optimization algorithm (MECKMTOA) was proposed.MECKMTOA uses M elites to avoid misleading,improves the convergence precision by learning and collaboration among the elites,employs a new wave operator to prevent premature by dimension.The results show t...

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Main Authors: Chao-dong FAN, Jing ZHANG, Ling-zhi YI
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2015-07-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015200/
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author Chao-dong FAN
Jing ZHANG
Ling-zhi YI
author_facet Chao-dong FAN
Jing ZHANG
Ling-zhi YI
author_sort Chao-dong FAN
collection DOAJ
description M-elite coevolutionary kinetic-molecular theory optimization algorithm (MECKMTOA) was proposed.MECKMTOA uses M elites to avoid misleading,improves the convergence precision by learning and collaboration among the elites,employs a new wave operator to prevent premature by dimension.The results show that MECKMTOA has good performance in precision and stability,and can solve the high-dimensional function optimization problems well.
format Article
id doaj-art-a57fea578501414580c70a2198a80b90
institution Kabale University
issn 1000-436X
language zho
publishDate 2015-07-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-a57fea578501414580c70a2198a80b902025-01-14T06:46:47ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2015-07-013614415259694412M-elite coevolutionary kinetic-molecular theory optimization algorithmChao-dong FANJing ZHANGLing-zhi YIM-elite coevolutionary kinetic-molecular theory optimization algorithm (MECKMTOA) was proposed.MECKMTOA uses M elites to avoid misleading,improves the convergence precision by learning and collaboration among the elites,employs a new wave operator to prevent premature by dimension.The results show that MECKMTOA has good performance in precision and stability,and can solve the high-dimensional function optimization problems well.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015200/optimization algorithmkinetic-molecular theory optimization algorithmfunction optimizationcoevolution
spellingShingle Chao-dong FAN
Jing ZHANG
Ling-zhi YI
M-elite coevolutionary kinetic-molecular theory optimization algorithm
Tongxin xuebao
optimization algorithm
kinetic-molecular theory optimization algorithm
function optimization
coevolution
title M-elite coevolutionary kinetic-molecular theory optimization algorithm
title_full M-elite coevolutionary kinetic-molecular theory optimization algorithm
title_fullStr M-elite coevolutionary kinetic-molecular theory optimization algorithm
title_full_unstemmed M-elite coevolutionary kinetic-molecular theory optimization algorithm
title_short M-elite coevolutionary kinetic-molecular theory optimization algorithm
title_sort m elite coevolutionary kinetic molecular theory optimization algorithm
topic optimization algorithm
kinetic-molecular theory optimization algorithm
function optimization
coevolution
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015200/
work_keys_str_mv AT chaodongfan melitecoevolutionarykineticmoleculartheoryoptimizationalgorithm
AT jingzhang melitecoevolutionarykineticmoleculartheoryoptimizationalgorithm
AT lingzhiyi melitecoevolutionarykineticmoleculartheoryoptimizationalgorithm