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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Format: | Article |
Language: | zho |
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Editorial Department of Journal on Communications
2015-07-01
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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 |