Spider monkey optimization: a novel technique for antenna optimization

Ali A. Al-Azza; Ammar A. Al-Jodah; Frances J. Harackiewicz

doi:10.1109/LAWP.2015.2490103

Spider monkey optimization: a novel technique for antenna optimization

Ali A. Al-Azza, Ammar A. Al-Jodah, Frances J. Harackiewicz

Mechanical & Aerospace Engineering

Research output: Contribution to journal › Article › Research › peer-review

126 Citations (Scopus)

Abstract

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.

Original language	English
Article number	7297809
Pages (from-to)	1016-1019
Number of pages	4
Journal	IEEE Antennas and Wireless Propagation Letters
Volume	15
DOIs	https://doi.org/10.1109/LAWP.2015.2490103
Publication status	Published - 2016

Keywords

Array antennas
microstrip antenna
optimization methods
spider monkey algorithm

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10.1109/LAWP.2015.2490103

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abstract = "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.",

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AU - Harackiewicz, Frances J.

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AB - 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.

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KW - microstrip antenna

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Spider monkey optimization: a novel technique for antenna optimization

Abstract

Keywords

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