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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shen Jie He Kun Wei Liu-hua Bi Lei Sun Rong-shuang Xu Fa-yan |
| Copyright Year | 2008 |
| Description | Author affiliation: Yangzhou Univ., Yangzhou (Shen Jie) |
| Abstract | State information-based ant colony clustering algorithm is proposed in the paper. The data object is denoted as an ant which has behaviors such as moving or sleeping, the state information's influence on the ants' behaviors is paid more attention. The reference value of ants' information in the static and active state is increased or decreased respectively. State information is taken as the important computing parameter of fitness and active probability of ants, therefore, it could carry out self-adaptive updates with the running of the algorithm, the concept of sensation threshold is introduced in order to avoid the frequent computation and update of the state information and improve the performance and the self-adaptation level of ant colony clustering algorithm. |
| Starting Page | 630 |
| Ending Page | 635 |
| File Size | 1410091 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424416851 |
| DOI | 10.1109/ICNSC.2008.4525294 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-04-06 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Clustering algorithms Algorithm design and analysis Helium Costs Stability Bismuth Sun Biology computing Insects Ant colony optimization |
| Content Type | Text |
| Resource Type | Article |
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