Electromagnetics Optimization using an Evolutionary Algorithm with a Mixed-Parameter Self-Adaptive Mutation Operator.
Applications of EP in electromagnetics to date have been mainly in continuous parameter optimizations [3,4]. EP, however, can directly work with continuous or discrete parameters. In this work we present an implementation of EP with a mixed continuous discrete parameter representation. In our approach the mutation operator consists of a hybrid combination of Gaussian mutation, for the continuous parameters, and Poisson mutation, for the discrete parameters. The implementation uses self-adaptive schemes for updating the standard deviation of the Gaussian distribution and the mean of the Poisson distribution during the evolution. As an example, the mixed-parameter EP algorithm is applied to the design of the multi-layer filter structure, shown in Figure 1.
| Main Author: | Hoorfar, Ahmad. |
|---|---|
| Other Authors: | Nelaturi, Sudarshan., Zhu Jinhui. |
| Format: | |
| Language: | English |
| Published: |
2001
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| Online Access: |
http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:176971 |