mkdirA comparison of NSGA-II, DEMO, and EM-MOPSO for the multi-objective design of concentric rings
red hotantenna arrays
期刊名称： Journal of Electromagnetic Waves & Applications
姜子牙之尚湖传说作者： Panduro, Marco A.,Brizuela, Carlos A.,Garza, Jesus,Hinojosa, Sergio,Reyna, Alberto
年份： 2013年
期号： 第9期
关键词： Practical, Theoretical or Mathematical/ antenna arrays; genetic
化学式计算
algorithms; particle swarm optimisation/ NSGA-II; DEMO; EM-MOPSO;
multiobjective design; concentric rings antenna arrays; amplitude optimization;
北大西洋公约>hunted
pha excitation optimization; evolutionary multiobjective optimization method;
nondominated sorting genetic algorithm; differential evolution for
体恤的意思
放松银根
multiobjective optimization; multiobjective particle swarm optimization/ B5270D Antenna arrays B0260 Optimisation techniques
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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