Self-learning differential evolution algorithm for dynamic polycentric problems
A novel self-learning differential evolution algorithm is proposed to solve dynamical multi-center optimization problems.The approach of re-evaluating some specific individuals is used to monitor environmental changes.The proposed self-learning operator guides the evolutionary group to a new environ...
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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.2015154/ |
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| _version_ | 1841539689187639296 |
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| author | Xing-bao LIU Jian-ping YIN Chun-hua HU Rong-yuan CHEN |
| author_facet | Xing-bao LIU Jian-ping YIN Chun-hua HU Rong-yuan CHEN |
| author_sort | Xing-bao LIU |
| collection | DOAJ |
| description | A novel self-learning differential evolution algorithm is proposed to solve dynamical multi-center optimization problems.The approach of re-evaluating some specific individuals is used to monitor environmental changes.The proposed self-learning operator guides the evolutionary group to a new environment,meanwhile maintains the stable topology structure of group to maintain the current evolutionary trend.A neighborhood search mechanism and a random immigrant mechanism are adapted to make a tradeoff between algorithmic convergence and population diversity.The experiment studies on a periodic dynamic function set suits are done,and the comparisons with peer algorithms show that the self-learning differential algorithm outperforms other algorithms in term of convergence and adaptability under dynamical environment. |
| format | Article |
| id | doaj-art-cf0db407b27d4b149e833a8ca25de52f |
| 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-cf0db407b27d4b149e833a8ca25de52f2025-01-14T06:46:48ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2015-07-013616617559694478Self-learning differential evolution algorithm for dynamic polycentric problemsXing-bao LIUJian-ping YINChun-hua HURong-yuan CHENA novel self-learning differential evolution algorithm is proposed to solve dynamical multi-center optimization problems.The approach of re-evaluating some specific individuals is used to monitor environmental changes.The proposed self-learning operator guides the evolutionary group to a new environment,meanwhile maintains the stable topology structure of group to maintain the current evolutionary trend.A neighborhood search mechanism and a random immigrant mechanism are adapted to make a tradeoff between algorithmic convergence and population diversity.The experiment studies on a periodic dynamic function set suits are done,and the comparisons with peer algorithms show that the self-learning differential algorithm outperforms other algorithms in term of convergence and adaptability under dynamical environment.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015154/evolutionary computationdynamic optimizationself-learning mechanismdifferential evolution |
| spellingShingle | Xing-bao LIU Jian-ping YIN Chun-hua HU Rong-yuan CHEN Self-learning differential evolution algorithm for dynamic polycentric problems Tongxin xuebao evolutionary computation dynamic optimization self-learning mechanism differential evolution |
| title | Self-learning differential evolution algorithm for dynamic polycentric problems |
| title_full | Self-learning differential evolution algorithm for dynamic polycentric problems |
| title_fullStr | Self-learning differential evolution algorithm for dynamic polycentric problems |
| title_full_unstemmed | Self-learning differential evolution algorithm for dynamic polycentric problems |
| title_short | Self-learning differential evolution algorithm for dynamic polycentric problems |
| title_sort | self learning differential evolution algorithm for dynamic polycentric problems |
| topic | evolutionary computation dynamic optimization self-learning mechanism differential evolution |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015154/ |
| work_keys_str_mv | AT xingbaoliu selflearningdifferentialevolutionalgorithmfordynamicpolycentricproblems AT jianpingyin selflearningdifferentialevolutionalgorithmfordynamicpolycentricproblems AT chunhuahu selflearningdifferentialevolutionalgorithmfordynamicpolycentricproblems AT rongyuanchen selflearningdifferentialevolutionalgorithmfordynamicpolycentricproblems |