Fragment‐type structure has found its application in designing high isolation structure for multiple‐input and multiple‐output (MIMO) system. In this study, a novel design scheme and a high‐efficiency optimisation searching technique for fragment‐type isolation structure are proposed based on multiobjective evolutionary algorithm based on decomposition combined with enhanced genetic operators (MOEA/D‐GO). Both considering non‐uniform fragment cells in design space and combining two‐dimensional median filtering operator in the original MOEA/D‐GO can improve speed of optimisation searching while obtaining higher isolation and better envelope correlation coefficient at expense of capacity loss. With the high‐efficiency optimisation search, more design objectives including the beam direction can be handled as well. The proposed design scheme and high‐efficiency searching technique are demonstrated through design examples with two MIMO planar inverted‐F antennas operating at 2.345–2.36 GHz and having a centre‐to‐centre interval of 15 mm. Comparison results among three designs verify the high effectiveness of the proposed scheme and optimisation searching technique.
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.Index Terms-Bow-tie antenna, evolutionary algorithm, multi-band antenna, multiobjective optimization.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.