<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
		<Article>
		<Journal>
			<PublisherName>Majlesi Journal of Electrical Engineering</PublisherName>
			<JournalTitle>Concentric Circular Antenna Array Synthesis Using Biogeography Based Optimization</JournalTitle>
			<Issn></Issn>
			<Volume>Volume 6 (2012)</Volume>
			<Issue>Issue 1, March 2012</Issue>
			<PubDate PubStatus="epublish">
                <Year>2024</Year>
                <Month>02</Month>
                <Day>25</Day>
			</PubDate>
		</Journal>
		<ArticleTitle>Concentric Circular Antenna Array Synthesis Using Biogeography Based Optimization</ArticleTitle>
		<VernacularTitle></VernacularTitle>
		<FirstPage></FirstPage>
		<LastPage></LastPage>
		<ELocationID EIdType="doi"></ELocationID>
		<Language>EN</Language>
		<AuthorList>
            			<Author>
                				<FirstName>Urvinder</FirstName>
				<LastName>Singh</LastName>
				<Affiliation>Department of ECE, Guru Nanak Dev Polytechnic College, Ludhiana, Punjab, India</Affiliation>
				<Identifier Source="ORCID"></Identifier>
			</Author>
            			<Author>
                				<FirstName>Tara</FirstName>
				<LastName>Kamal</LastName>
				<Affiliation>Department of ECE, DIET Kharar, Punjab, India</Affiliation>
				<Identifier Source="ORCID"></Identifier>
			</Author>
            		</AuthorList>
		<PublicationType>Journal Article</PublicationType>
		<History>
			<PubDate PubStatus="received">
				<Year>2024</Year>
				<Month>02</Month>
				<Day>25</Day>
			</PubDate>
		</History>
		<Abstract>Biogeography based optimization (BBO) is a new stochastic force based on the science of biogeography. Biogeography is the schoolwork of geographical allotment of biological organisms. BBO utilizes migration operator to share information between the problem solutions. The problem solutions are known as habitats and sharing of features is called migration. In this paper, BBO algorithm is developed to optimize the current excitations of concentric circular antenna arrays (CCAA). Concentric Circular Antenna Array (CCAA) has numerous attractive features that make it essential in mobile and communication applications. The goal of the optimization is to reduce the side lobe levels and the primary lobe beam width as much as possible. To confirm the capabilities of BBO, three different CCAA antennas of different sizes are taken. The results obtained by BBO are compared with the Real coded Genetic Algorithm (RGA), Craziness based Particle Swarm Optimization (CRPSO) and Hybrid Evolutionary Programming (HEP). </Abstract>
		<ObjectList>
            			<Object Type="keyword">
				<Param Name="value">Cloud computing, DDoS attacks, Machine Learning, deep learning techniques, . ,</Param>
			</Object>
					</ObjectList>
	</Article>
	</ArticleSet>
