A Survey of Optimal Design of Antenna (Array) by Evolutionary Computing Methods

Abstract

AbstractTo satisfy the increasing requirements of big data transmission, mutual interference and wide band, the optimal design of antenna and antenna array has drawn great interests and attentions of researchers. This paper summarizes and classifies state-of-the-art optimal antenna designs by using evolutionary computing (EC) methods. Antenna designs are classified based on three aspects. First, based on array type, they are divided into single antenna design, linear array design and planar array design. Second, based on the number of optimization objectives, they are divided into single objective, bi-objective, and three objective methods. Third, approaches are divided based on real world scenarios. Furthermore, a benchmark is built for the designs of linear antenna array and planar antenna array. Such benchmark can be used as baseline to assist researchers to verify or create more powerful EC methods. Simulation results show that the benchmark is scalable and reliable for testing the performance of EC methods.KeywordAntenna designSurveyBenchmarkEvolutionary computing