Optimization Algorithms in Electromagnetics

Ha Bui Van

Hum Group,EM

Abstract:

In recent years, several global optimization techniques have been adopted for solving electromagnetic problems, which result in novel designs of superior performance. In many cases, optimization techniques offer a unique approach for electromagnetic designs where analytical solutions are not available or impossible to derive. Among all techniques, Genetic Algorithm – GA, and Particle Swarm Optimization – PSO are the most popular optimization algorithms to be applied in electromagnetic design. They both belong to a class of global optimization techniques, which are very simple to implement.

In this talk, I will discuss the basic ideas and implementation of both algorithms. Additionally, I will present our modified version of the genetic algorithm, named Modified Compact Genetic Algorithm, which is very simple and effective for solving electromagnetic problems. Its application to the design of thinned arrays will also be described.

Biography:

Ha Bui Van received his Engineering degree in Electronics and Telecommunications from the Hanoi University Science and Technology, Hanoi, Vietnam, in 2010. Presently, he is working towards his Ph.D degree under the supervision of Prof. Riccardo E. Zich at Politecnico di Milano, Milan, Italy. He has been spending the past nine months at the University of Toronto, as a visiting student working with Prof. Sean Victor Hum. He is interested in antenna design and optimization algorithms for electromagnetics. Currently, he is working on optimization of reflectarray antennas.