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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhang, Chengfen Zhao, Yanzhen Ma, Xikui |
| Copyright Year | 2013 |
| Description | Author affiliation: School of Electrical Engineering, Xi'an Jiaotong University, 710049, Shaanxi, China (Zhang, Chengfen; Zhao, Yanzhen; Ma, Xikui) |
| Abstract | According to the characteristics of nonlinear, multivariable and multiple constraint of the optimization of reactor, a modified differential evolution algorithm is proposed based on hybrid mutation and diversity-guided strategy. The algorithm carries out two forms of hybrid mutation in a given probability. The search of the individual is guided by the diversity information when carrying out the mutation, namely we change the search direction of the individual and make it escape the center point when the distance between the individual in differential vector or recombinant vector and the center point is less than the given lower limit. The simulation results of separated dry-type air-core reactor show that the HMDGDE algorithm is of stronger global search ability and better stability than the initial differential evolution (DE) algorithm and DE/rand/1/either-or algorithm. |
| Starting Page | 233 |
| Ending Page | 236 |
| File Size | 843316 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467351379 |
| e-ISBN | 9781467327640 |
| DOI | 10.1109/ICIST.2013.6747542 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-03-23 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Sociology Wires Vectors Inductors Statistics Optimization |
| Content Type | Text |
| Resource Type | Article |
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