Modified Multiobjective Evolutionary Algorithm Based on Decomposition for Antenna Design

For antenna design with multiobjective evolutionary algorithm based on decomposition (MOEA/D), population diversity and evolution speed of MOEA/D are two major concerns. Population diversity can be improved by selecting father- individuals along different search directions from external populations sorted by nondominated sorting strategy at small expense of evolution speed. Optimization results of given test instances and a tri-band bow-tie antenna indicate that the modified MOEA/D could generate a large set of alternative solutions in a more efficient way if compared to original MOEA/D. The modified MOEA/D is further demonstrated by designing a quad-band double-sided bow-tie antenna. Both numerical and test results show that modified MOEA/D is a promising multiobjective evolutionary algorithm for antenna design.