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  <doi_batch_id>aspg-34-1510-1791482691</doi_batch_id>
  <timestamp>20261008180451</timestamp>
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  <journal>
   <journal_metadata language="en">
    <full_title>Prospects for Applied Mathematics and Data Analysis</full_title>
    <abbrev_title>PAMDA</abbrev_title>
    <issn media_type="electronic">2836-4449</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2023</year>
    </publication_date>
    <journal_volume>
     <volume>1</volume>
    </journal_volume>
    <issue>2</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Studying the Parameters of Genetic Algorithms and Their Impact on Problems of Finding the Optimal Solution</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Ousama Asaad</given_name>
      <surname>Bahbouh</surname>
      <affiliations>
       <institution>
        <institution_name>Faculty member, Faculty of Informatics Engineering, Al-Sham Private University, Damascus, Syria</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>Interest in artificial intelligence has recently increased, because of its proven competence and effectiveness in addressing many outstanding issues and problems, as it is a modern science that derives its concepts from simulating the style of thinking and analysis in humans. Genetic algorithms are a branch of this science, which requires that their determinants be selected according to the problem at hand. In this paper, we examined the effect of changing some of the determinants of genetic algorithms, namely mutation probability and population size, on the accuracy of results for three problems of different frequency spectrum. The effect of the election algorithm in obtaining accurate results was also studied, by comparing the roulette wheel algorithm and Elitism algorithm.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2023</year>
    </publication_date>
    <pages>
     <first_page>28</first_page>
     <last_page>36</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">1510</item_number>
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     <doi>10.54216/PAMDA.010203</doi>
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