期刊文献+

基于入侵性野草优化算法的平面天线阵列的方向图综合 被引量:5

Pattern synthesis of planar antenna arrays based on invasive weed optimization algorithm
下载PDF
导出
摘要 针对入侵性野草优化(invasive weed optimization,IWO)算法存在早熟收敛和陷入局部最优的问题,提出了一种混沌自适应IWO(chaotic adaptive IWO,CAIWO)算法,并将改进的算法应用于平面阵列天线的方向图综合问题。计算结果表明:该算法的优化结果均优于对比文献中的结果,更适合于阵列天线方向图综合问题。 An improved algorithm called chaotic adaptive IWO is proposed to deal with the premature convergence and local optimum conditions of IWO.The proposed algorithm is applied to the planar array pattern synthesis.The calculated results show that the proposed algorithm which is superior in optimization to the conclusions made in the comparative literature is more suitable for the array antenna pattern synthesis.
出处 《海军工程大学学报》 CAS 北大核心 2015年第1期16-19,共4页 Journal of Naval University of Engineering
基金 国家自然科学基金资助项目(41074047)
关键词 阵列天线 入侵性野草优化 方向图综合 早熟收敛 array antenna IWO pattern synthesis premature convergence
  • 相关文献

参考文献6

  • 1袁智皓,耿军平,金荣洪,范瑜.基于改进的粒子群算法的二维阵列天线方向图综合技术[J].电子与信息学报,2007,29(5):1236-1239. 被引量:21
  • 2WU H, LIU C. Planar array synthesis with side- lobe reduction and null control using invasive weed optimization [-J]. Progress in Electromagnetics Re- search M, 2013,33:83-94. 被引量:1
  • 3MEHRABIAN A R, LUCAS C. A novel numerical optimization algorithm inspired from weed coloniza- tion [J]. Ecological Informatics, 2006,1 (4) : 355- 366. 被引量:1
  • 4KARIMKASHI S, KISHK A A. Invasive weed op- timization and its features in electromagnetics [J]. IEEE Transactions on Antennas and Propagation, 2010,58 (4) : 1269-1278. 被引量:1
  • 5MARCANO D, DURAN F. Synthesis of antenna arrays using genetic algorithms [J]. IEEE Transac- tion on Antennas and Propagation Magazine, 2000, 42(3) :12-20. 被引量:1
  • 6GUNEY K, BABAYIGIT B. Amplitude-only pat- tern nulling of linear antenna arrays with the use of an immune algorithm [J]. International Journal of RF and Microwave Computer-Aided Engineering,2008,18(5):397-409. 被引量:1

二级参考文献7

  • 1Haupt L.Thinned arrays using genetic algorithms.IEEE Trans.on Antennas and Propagation,1994,42:993-999. 被引量:1
  • 2Boeringer W and Werner H.Particle swarm optimization versus genetic algorithms for phased array synthesis.IEEE Trans.on Antennas and Propagation,2004,52(3):771-779. 被引量:1
  • 3Kennedy J and Eberhart R C.Particle swarm optimization.Proc.IEEE International Conference on Neural Networks,IEEE Service Center,Perth,Australia.1995,Ⅳ:1942-1948. 被引量:1
  • 4Eberhart R C and Kennedy J.A new optimizer using particle swarm theory.Proceeding of Sixth International Symposium on Micro Machine and Human Science,Nagoya,Japan.1995:39-43. 被引量:1
  • 5Shi Y and Eberhart R C.A modified particle swarm optimizer.Proceeding of the IEEE Congress on Evolutionary Computation (CEC 1998),Piscataway,NJ.1998:69-73. 被引量:1
  • 6Eberhart R C and Shi Y.Comparing inertia weights and constriction factors in particle swarm optimization.Proceeding of IEEE Congress on Evolutionary Computation (CEC2000),San Diego,CA.2000:48-88. 被引量:1
  • 7Carlisle A and Dozier G.An off-the-shelf PSO.Proceedings of the 2001 Workshop on Particle Swarm Optimization,Indianapolis,IN.2001:1-6. 被引量:1

共引文献20

同被引文献41

引证文献5

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部