An Improved Animal Migration Optimization Algorithm for Clustering Analysis
Animal migration optimization (AMO) is one of the most recently introduced algorithms based on the behavior of animal swarm migration. This paper presents an improved AMO algorithm (IAMO), which significantly improves the original AMO in solving complex optimization problems. Clustering is a popular...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2015/194792 |
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| _version_ | 1832549873069588480 |
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| author | Mingzhi Ma Qifang Luo Yongquan Zhou Xin Chen Liangliang Li |
| author_facet | Mingzhi Ma Qifang Luo Yongquan Zhou Xin Chen Liangliang Li |
| author_sort | Mingzhi Ma |
| collection | DOAJ |
| description | Animal migration optimization (AMO) is one of the most recently introduced algorithms based on the behavior of animal swarm migration. This paper presents an improved AMO algorithm (IAMO), which significantly improves the original AMO in solving complex optimization problems. Clustering is a popular data analysis and data mining technique and it is used in many fields. The well-known method in solving clustering problems is k-means clustering algorithm; however, it highly depends on the initial solution and is easy to fall into local optimum. To improve the defects of the k-means method, this paper used IAMO for the clustering problem and experiment on synthetic and real life data sets. The simulation results show that the algorithm has a better performance than that of the k-means, PSO, CPSO, ABC, CABC, and AMO algorithm for solving the clustering problem. |
| format | Article |
| id | doaj-art-9eecf371e44e41d1b370eec3f66ec350 |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-9eecf371e44e41d1b370eec3f66ec3502025-02-03T06:08:18ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2015-01-01201510.1155/2015/194792194792An Improved Animal Migration Optimization Algorithm for Clustering AnalysisMingzhi Ma0Qifang Luo1Yongquan Zhou2Xin Chen3Liangliang Li4College of Information Science and Engineering, Guangxi University for Nationalities, Nanning 530006, ChinaCollege of Information Science and Engineering, Guangxi University for Nationalities, Nanning 530006, ChinaCollege of Information Science and Engineering, Guangxi University for Nationalities, Nanning 530006, ChinaCollege of Information Science and Engineering, Guangxi University for Nationalities, Nanning 530006, ChinaCollege of Information Science and Engineering, Guangxi University for Nationalities, Nanning 530006, ChinaAnimal migration optimization (AMO) is one of the most recently introduced algorithms based on the behavior of animal swarm migration. This paper presents an improved AMO algorithm (IAMO), which significantly improves the original AMO in solving complex optimization problems. Clustering is a popular data analysis and data mining technique and it is used in many fields. The well-known method in solving clustering problems is k-means clustering algorithm; however, it highly depends on the initial solution and is easy to fall into local optimum. To improve the defects of the k-means method, this paper used IAMO for the clustering problem and experiment on synthetic and real life data sets. The simulation results show that the algorithm has a better performance than that of the k-means, PSO, CPSO, ABC, CABC, and AMO algorithm for solving the clustering problem.http://dx.doi.org/10.1155/2015/194792 |
| spellingShingle | Mingzhi Ma Qifang Luo Yongquan Zhou Xin Chen Liangliang Li An Improved Animal Migration Optimization Algorithm for Clustering Analysis Discrete Dynamics in Nature and Society |
| title | An Improved Animal Migration Optimization Algorithm for Clustering Analysis |
| title_full | An Improved Animal Migration Optimization Algorithm for Clustering Analysis |
| title_fullStr | An Improved Animal Migration Optimization Algorithm for Clustering Analysis |
| title_full_unstemmed | An Improved Animal Migration Optimization Algorithm for Clustering Analysis |
| title_short | An Improved Animal Migration Optimization Algorithm for Clustering Analysis |
| title_sort | improved animal migration optimization algorithm for clustering analysis |
| url | http://dx.doi.org/10.1155/2015/194792 |
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