@inproceedings{e59fdf0b5df0491a94be861dc1f08532,
title = "Spider monkey optimization (SMO): A novel optimization technique in electromagnetics",
abstract = "Introducing and using the spider monkey optimization (SMO) as an optimization technique for the electromagnetics and antenna community is the main goal of this paper. The SMO is a new swarm intelligence technique which models the foraging behavior of spider monkeys. To show the efficiency of the SMO, different examples are presented in this work. The optimization procedure is used to synthesize the array factor of a linear antenna array and to optimally design a coaxial feeding patch antenna for wireless applications. The obtained results show that SMO is efficient in reaching the optimum solutions with few number of experiments.",
keywords = "Array antennas, microstrip antenna, optimization methods, Spider monkey algorithm",
author = "Al-Azza, {Ali A.} and Al-Jodah, {Ammar A.} and Harackiewicz, {Frances J.}",
year = "2016",
month = mar,
day = "30",
doi = "10.1109/RWS.2016.7444414",
language = "English",
series = "IEEE Radio and Wireless Symposium, RWS",
publisher = "IEEE, Institute of Electrical and Electronics Engineers",
pages = "238--240",
booktitle = "RWS 2016 - Proceedings of the 2016 IEEE Radio and Wireless Symposium",
address = "United States",
note = "IEEE Radio and Wireless Symposium, RWS 2016 ; Conference date: 24-01-2016 Through 27-01-2016",
}