An Improved Artificial Bee Colony Algorithm Based on Elite Strategy and Dimension Learning
Artificial bee colony is a powerful optimization method, which has strong search abilities to solve many optimization problems. However, some studies proved that ABC has poor exploitation abilities in complex optimization problems. To overcome this issue, an improved ABC variant based on elite strat...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-03-01
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| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/7/3/289 |
| _version_ | 1819237761946746880 |
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| author | Songyi Xiao Wenjun Wang Hui Wang Dekun Tan Yun Wang Xiang Yu Runxiu Wu |
| author_facet | Songyi Xiao Wenjun Wang Hui Wang Dekun Tan Yun Wang Xiang Yu Runxiu Wu |
| author_sort | Songyi Xiao |
| collection | DOAJ |
| description | Artificial bee colony is a powerful optimization method, which has strong search abilities to solve many optimization problems. However, some studies proved that ABC has poor exploitation abilities in complex optimization problems. To overcome this issue, an improved ABC variant based on elite strategy and dimension learning (called ABC-ESDL) is proposed in this paper. The elite strategy selects better solutions to accelerate the search of ABC. The dimension learning uses the differences between two random dimensions to generate a large jump. In the experiments, a classical benchmark set and the 2013 IEEE Congress on Evolutionary (CEC 2013) benchmark set are tested. Computational results show the proposed ABC-ESDL achieves more accurate solutions than ABC and five other improved ABC variants. |
| first_indexed | 2024-12-23T13:25:28Z |
| format | Article |
| id | doaj.art-1934f3a091a34b92b0b5568107219a78 |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-12-23T13:25:28Z |
| publishDate | 2019-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-1934f3a091a34b92b0b5568107219a782022-12-21T17:45:19ZengMDPI AGMathematics2227-73902019-03-017328910.3390/math7030289math7030289An Improved Artificial Bee Colony Algorithm Based on Elite Strategy and Dimension LearningSongyi Xiao0Wenjun Wang1Hui Wang2Dekun Tan3Yun Wang4Xiang Yu5Runxiu Wu6School of Information Engineering, Nanchang Institute of Technology, Nanchang 330099, ChinaSchool of Business Administration, Nanchang Institute of Technology, Nanchang 330099, ChinaSchool of Information Engineering, Nanchang Institute of Technology, Nanchang 330099, ChinaSchool of Information Engineering, Nanchang Institute of Technology, Nanchang 330099, ChinaSchool of Information Engineering, Nanchang Institute of Technology, Nanchang 330099, ChinaSchool of Information Engineering, Nanchang Institute of Technology, Nanchang 330099, ChinaSchool of Information Engineering, Nanchang Institute of Technology, Nanchang 330099, ChinaArtificial bee colony is a powerful optimization method, which has strong search abilities to solve many optimization problems. However, some studies proved that ABC has poor exploitation abilities in complex optimization problems. To overcome this issue, an improved ABC variant based on elite strategy and dimension learning (called ABC-ESDL) is proposed in this paper. The elite strategy selects better solutions to accelerate the search of ABC. The dimension learning uses the differences between two random dimensions to generate a large jump. In the experiments, a classical benchmark set and the 2013 IEEE Congress on Evolutionary (CEC 2013) benchmark set are tested. Computational results show the proposed ABC-ESDL achieves more accurate solutions than ABC and five other improved ABC variants.https://www.mdpi.com/2227-7390/7/3/289Artificial bee colonyswarm intelligenceelite strategydimension learningglobal optimization |
| spellingShingle | Songyi Xiao Wenjun Wang Hui Wang Dekun Tan Yun Wang Xiang Yu Runxiu Wu An Improved Artificial Bee Colony Algorithm Based on Elite Strategy and Dimension Learning Mathematics Artificial bee colony swarm intelligence elite strategy dimension learning global optimization |
| title | An Improved Artificial Bee Colony Algorithm Based on Elite Strategy and Dimension Learning |
| title_full | An Improved Artificial Bee Colony Algorithm Based on Elite Strategy and Dimension Learning |
| title_fullStr | An Improved Artificial Bee Colony Algorithm Based on Elite Strategy and Dimension Learning |
| title_full_unstemmed | An Improved Artificial Bee Colony Algorithm Based on Elite Strategy and Dimension Learning |
| title_short | An Improved Artificial Bee Colony Algorithm Based on Elite Strategy and Dimension Learning |
| title_sort | improved artificial bee colony algorithm based on elite strategy and dimension learning |
| topic | Artificial bee colony swarm intelligence elite strategy dimension learning global optimization |
| url | https://www.mdpi.com/2227-7390/7/3/289 |
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