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Spider Monkey Optimization: A Novel Technique for Antenna Optimization

delete2016-01-01
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PRE
AI
A
Ali A. Al-Azza
A
Ammar Al-Jodah *
F
Frances J. Harackiewicz *
DOI:10.1109/LAWP.2015.2490103delete
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摘要

摘要

En 中文
The aim of this letter is to introduce and use the spider monkey optimization (SMO) as an optimization technique for the electromagnetics and antenna communities. The SMO is a new swarm intelligence technique that models the foraging behavior of spider monkeys. To show the efficiency of the SMO, different examples are presented, and the results are compared to the results obtained using other popular optimization techniques. The optimization procedure is used to synthesize the array factor of a linear antenna array and to optimally design an E-shaped patch antenna for wireless applications. By comparing to traditional optimization techniques reported in the literature, it is evident that SMO is efficient in reaching the optimum solutions with less number of experiments.
Keyword:
Array antennas
microstrip antenna
optimization methods
spider monkey algorithm
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期刊

IEEE Antennas and Wireless Propagation Letters 封面图
IEEE Antennas and Wireless Propagation Letters
IF:
4.8
论文数:
1.0W
被引数:
2.8W

机构

U
University of Basrah
学者数:
1.2K
论文数: 916
被引数: 1.1K
Southern Illinois University System 封面图
Southern Illinois University System
学者数:
6.0K
论文数: 5.1K
被引数: 55
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