A comparison of NSGA-II, DEMO, and EM-MOPSO for th

更新时间:2023-07-02 10:26:41 阅读: 评论:0

工作总结范文模板大全A comparison of NSGA-II, DEMO, and EM-MOPSO for the multi-objective design of concentric rings
antenna arrays
期刊名称: Journal of Electromagnetic Waves & Applications
作者: Panduro, Marco A.,Brizuela, Carlos A.,Garza, Jesus,Hinojosa, Sergio,Reyna, Alberto
团结就是力量英语
年份: 2013年
猫狗鼠读后感
期号: 第9期
医院计划关键词: Practical, Theoretical or Mathematical/ antenna arrays; genetic
algorithms; particle swarm optimisation/ NSGA-II; DEMO; EM-MOPSO;
multiobjective design; concentric rings antenna arrays; amplitude optimization;
俱乐部名称pha excitation optimization; evolutionary multiobjective optimization method;
nondominated sorting genetic algorithm; differential evolution for
村卫生室管理办法
苹果的英语怎么写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.专心致志成语接龙
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