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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lai, J.C. Leung, F.H. Sai-Ho Ling |
| Copyright Year | 2010 |
| Description | Author affiliation: Centre for Health Technologies, Faculty of Engineering and Information Technology, University of Technology, Sydney, NSW, Australia (Sai-Ho Ling) || Centre for Signal Processing, Dept. of Electronic and Information Engg., The Hong Kong Polytechnic University, Hung Ham, Hong Kong (Lai, J.C.; Leung, F.H.) |
| Abstract | A new Differential Evolution (DE) that incorporates fuzzy control and k-nearest neighbors algorithm to determine the terminating condition is proposed. A technique called Iteration Windows is introduced to govern the number of iteration in each searching stage. The size of the iteration windows is controlled by a fuzzy controller, which uses the information provided by the k-nearest neighbors system to analyze the population during the searching process. The controller keeps controlling the iteration windows until the end of the searching process. The wavelet based mutation process is embedded in the DE searching process to enhance the searching performance of DE. The F weight of DE is also controlled by the fuzzy controller to further speed up the searching process. A suite of benchmark test functions is employed to evaluate the performance of the proposed method. It is shown empirically that the proposed method can terminate the searching process with a reasonable number of iteration. |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 753237 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424469093 |
| e-ISBN | 9781424469116 |
| DOI | 10.1109/CEC.2010.5586058 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-07-18 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Equations Optimization Benchmark testing Process control Signal processing algorithms Fuzzy control Clustering algorithms |
| Content Type | Text |
| Resource Type | Article |
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