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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gao Hong Hou Li-gang Su Cheng-li |
| Copyright Year | 2009 |
| Description | Author affiliation: School of Information and Control Engineering, Liaoning Shihua University, Fushun, China 113001 (Gao Hong; Hou Li-gang; Su Cheng-li) |
| Abstract | Aim to the disadvantages that ant colony optimization is not applied to continuous optimization problems and easy to get into local optimum, a fast global ant colony algorithm is proposed. In this algorithm the searching way that searches near the best solution and makes the best solution as the initial solution is adopted in order to widen searching scope to avoid getting into local optimum, and then it is applied to test some typical functions. The result that compares with other optimizations on testing these functions showed that the improved algorithm is not only applied to continuous optimization problems, but also has fast global optimization, fast searching rate and high optimizing precision. |
| Starting Page | 1993 |
| Ending Page | 1996 |
| File Size | 343219 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424427222 |
| DOI | 10.1109/CCDC.2009.5191839 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-06-17 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Ant colony optimization Control engineering Global optimization Continuous optimization Local optimum Ant colony algorithm Testing |
| Content Type | Text |
| Resource Type | Article |
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