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.
Language:	English
Published:	2001
Online Access:	http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:176971