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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Takano, R. Harada, T. Sato, H. Takadama, K. |
| Copyright Year | 2015 |
| Description | Author affiliation: Grad. Sch. of Inf., Univ. of Electro-Commun., Tokyo, Japan (Takano, R.; Harada, T.; Sato, H.; Takadama, K.) |
| Abstract | This paper focuses on Artificial Bee Colony (ABC) algorithm in multimodal problems with dynamic environmental change, and proposes the additional improvement of ABC algorithm based on local information sharing (ABC-lis) toward robustness against environmental change speed. The additional improvement is that scout bee's phase is modified to calculate by sigmoid function. To investigate the global search ability of ABC-lis and the additional improvement, we compare these algorithms to 3 case of environmental change speeds. The experimental result revealed that the following implications: (1) ABC-lis cannot always maintains the search capability in any change speed. (2) ABC-lis with the additional improvement is able to exert a high performance at every change speed. (3) The number of bees in each local area is able to be controlled by the novel parameter $N_{l}$ in ABC-lis with the additional improvement. |
| Starting Page | 1424 |
| Ending Page | 1431 |
| File Size | 3289799 |
| Page Count | 8 |
| File Format | |
| e-ISBN | 9781479974924 |
| DOI | 10.1109/CEC.2015.7257055 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-05-25 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Heuristic algorithms Search problems Information management Informatics Robustness Particle swarm optimization Optimization dynamic environment Swarm intelligence ABC algorithm |
| Content Type | Text |
| Resource Type | Article |
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