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  <doi_batch_id>aspg-28-1873-1792155212</doi_batch_id>
  <timestamp>20261016125332</timestamp>
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  <journal>
   <journal_metadata language="en">
    <full_title>Journal of Artificial Intelligence and Metaheuristics</full_title>
    <abbrev_title>JAIM</abbrev_title>
    <issn media_type="electronic">2833-5597</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2023</year>
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    <journal_volume>
     <volume>3</volume>
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    <issue>1</issue>
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   <journal_article publication_type="full_text">
    <titles>
     <title>Design of Antenna Parameters Using Optimization Techniques: A Review</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Nima</given_name>
      <surname>Khodadadi</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Civil and Environmental Engineering, Florida International University, Miami, FL 33199, USA</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Mostafa</given_name>
      <surname>Abotaleb</surname>
      <affiliations>
       <institution>
        <institution_name>Department of System Programming, South Ural State University, 454080 Chelyabinsk, Russia</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Pushan Kumar</given_name>
      <surname>Dutta</surname>
      <affiliations>
       <institution>
        <institution_name>Artificial Intelligence and Robotics, School of Engineering and Technology, Amity University Kolkata,India</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>The use of machine learning (ML) and deep learning (DL) algorithms to solve mathematical issues in wireless communications has propelled AI-assisted communications to the forefront in recent years. Beginning with an overview of AI, CEM, and the function of AI/ML/DL in antennas, this paper moves on to discuss the topic in more depth. In this article, we show the results of our research into ML/DL algorithms and the methods we used to optimize antenna settings using these algorithms. Finally, we show several examples of how AI can be used in antennas.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2023</year>
    </publication_date>
    <pages>
     <first_page>08</first_page>
     <last_page>20</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">1873</item_number>
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     <doi>10.54216/JAIM.030101</doi>
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