A comparison of NSGA-II, DEMO, and EM-MOPSO for the multi-objective design of concentric ringsshady
纸牌屋第二季
antenna arrays
信封的格式期刊名称： Journal of Electromagnetic Waves & Applications
黄油手
作者： Panduro, Marco A.,Brizuela, Carlos A.,Garza, Jesus,Hinojosa, Sergio,Reyna, Alberto
年份： 2013年
期号： 第9期
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关键词： Practical, Theoretical or Mathematical/ antenna arrays; genetic
algorithms; particle swarm optimisation/ NSGA-II; DEMO; EM-MOPSO;
去痘食疗multiobjective design; concentric rings antenna arrays; amplitude optimization;
pha excitation optimization; evolutionary multiobjective optimization method;bastian telfair
nondominated sorting genetic algorithm; differential evolution for
topbright暗示英语
multiobjective optimization; multiobjective particle swarm optimization/ B5270D Antenna arrays B0260 Optimisation techniques
no 1是什么意思摘要：A comparison between different modern multi-objective optimization methods applied to the design of concentric rings antenna arrays is prented in this paper. This design of concentric rings antenna arrays considers the optimization of the amplitude and pha excitations across the antenna elements in order to generate the trade-off curves between side lobe level and directivity for a scannable pattern with optimal performance in the whole azimuth plane. Simulation results by using evolutionary multi-objective optimization methods, such as: NSGA-II, DEMO, and EM-MOPSO are provided in this document. Furthermore, a comparative analysis of the performance between the algorithms is prented.
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