MOEA/D-GO FOR FRAGMENTED ANTENNA DESIGN

Dawei Ding, Gang Wang
2013 Progress In Electromagnetics Research M  
In this paper, a hybrid multiobjective evolutionary algorithm, MOEA/D-GO (Multiobjective Evolutionary Algorithm Based on Decomposition combined with Enhanced Genetic Operators), is proposed for fragment-type antenna design. It combines the ability and efficiency of MOEA/D to deal with multiobjective optimization problems with the specific character of two-dimensional chromosome coding of genetic algorithm. And enhanced genetic operators are also introduced to generate new individuals. Numerical
more » ... results of a set of six multiobjective 0/1 knapsack problems show that MOEA/D-GO with weighted sum decomposition approach outperforms original MOEA/D and MOEA/D-PR (MOEA/D combined with Path-Relinking operator). Then it's applied to optimize a CPW-fed monopole antenna to achieve band-notch characteristic. Both numerical and test results show that MOEA/D-GO is promising for solving multiobjective optimization problems about fragmented antenna.
doi:10.2528/pierm13071610 fatcat:7pba56e6dzaqdnwjjt4g246vsy