Discrete and Continuous Optimization Based on Hierarchical Artificial Bee Colony Optimizer
This paper presents a novel optimization algorithm, namely, hierarchical artificial bee colony optimization (HABC), to tackle complex high-dimensional problems. In the proposed multilevel model, the higher-level species can be aggregated by the subpopulations from lower level. In the bottom level, e...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
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| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2014/402616 |
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| _version_ | 1832554403893084160 |
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| author | Lianbo Ma Kunyuan Hu Yunlong Zhu Ben Niu Hanning Chen Maowei He |
| author_facet | Lianbo Ma Kunyuan Hu Yunlong Zhu Ben Niu Hanning Chen Maowei He |
| author_sort | Lianbo Ma |
| collection | DOAJ |
| description | This paper presents a novel optimization algorithm, namely, hierarchical artificial bee colony optimization (HABC), to tackle complex high-dimensional problems. In the proposed multilevel model, the higher-level species can be aggregated by the subpopulations from lower level. In the bottom level, each subpopulation employing the canonical ABC method searches the part-dimensional optimum in parallel, which can be constructed into a complete solution for the upper level. At the same time, the comprehensive learning method with crossover and mutation operator is applied to enhance the global search ability between species. Experiments are conducted on a set of 20 continuous and discrete benchmark problems. The experimental results demonstrate remarkable performance of the HABC algorithm when compared with other six evolutionary algorithms. |
| format | Article |
| id | doaj-art-08c2c6ee836940c3ab7e92eb8292934a |
| institution | Kabale University |
| issn | 1110-757X 1687-0042 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Applied Mathematics |
| spelling | doaj-art-08c2c6ee836940c3ab7e92eb8292934a2025-02-03T05:51:34ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/402616402616Discrete and Continuous Optimization Based on Hierarchical Artificial Bee Colony OptimizerLianbo Ma0Kunyuan Hu1Yunlong Zhu2Ben Niu3Hanning Chen4Maowei He5Department of Information Service & Intelligent Control, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, ChinaDepartment of Information Service & Intelligent Control, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, ChinaDepartment of Information Service & Intelligent Control, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, ChinaCollege of Management, Shenzhen University, Shenzhen 518060, ChinaDepartment of Information Service & Intelligent Control, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, ChinaDepartment of Information Service & Intelligent Control, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, ChinaThis paper presents a novel optimization algorithm, namely, hierarchical artificial bee colony optimization (HABC), to tackle complex high-dimensional problems. In the proposed multilevel model, the higher-level species can be aggregated by the subpopulations from lower level. In the bottom level, each subpopulation employing the canonical ABC method searches the part-dimensional optimum in parallel, which can be constructed into a complete solution for the upper level. At the same time, the comprehensive learning method with crossover and mutation operator is applied to enhance the global search ability between species. Experiments are conducted on a set of 20 continuous and discrete benchmark problems. The experimental results demonstrate remarkable performance of the HABC algorithm when compared with other six evolutionary algorithms.http://dx.doi.org/10.1155/2014/402616 |
| spellingShingle | Lianbo Ma Kunyuan Hu Yunlong Zhu Ben Niu Hanning Chen Maowei He Discrete and Continuous Optimization Based on Hierarchical Artificial Bee Colony Optimizer Journal of Applied Mathematics |
| title | Discrete and Continuous Optimization Based on Hierarchical Artificial Bee Colony Optimizer |
| title_full | Discrete and Continuous Optimization Based on Hierarchical Artificial Bee Colony Optimizer |
| title_fullStr | Discrete and Continuous Optimization Based on Hierarchical Artificial Bee Colony Optimizer |
| title_full_unstemmed | Discrete and Continuous Optimization Based on Hierarchical Artificial Bee Colony Optimizer |
| title_short | Discrete and Continuous Optimization Based on Hierarchical Artificial Bee Colony Optimizer |
| title_sort | discrete and continuous optimization based on hierarchical artificial bee colony optimizer |
| url | http://dx.doi.org/10.1155/2014/402616 |
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