<doi_batch xmlns="http://www.crossref.org/schema/4.4.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" version="4.4.0"><head><doi_batch_id>52b46135-541e-4e25-a417-e7cff93fa3e9</doi_batch_id><timestamp>20231009084338397</timestamp><depositor><depositor_name>wseas:wseas</depositor_name><email_address>mdt@crossref.org</email_address></depositor><registrant>MDT Deposit</registrant></head><body><journal><journal_metadata language="en"><full_title>WSEAS TRANSACTIONS ON MATHEMATICS</full_title><issn media_type="electronic">2224-2880</issn><issn media_type="print">1109-2769</issn><archive_locations><archive name="Portico"/></archive_locations><doi_data><doi>10.37394/23206</doi><resource>http://wseas.org/wseas/cms.action?id=4051</resource></doi_data></journal_metadata><journal_issue><publication_date media_type="online"><month>9</month><day>19</day><year>2022</year></publication_date><publication_date media_type="print"><month>9</month><day>19</day><year>2022</year></publication_date><journal_volume><volume>22</volume><doi_data><doi>10.37394/23206.2023.22</doi><resource>https://wseas.com/journals/mathematics/2023.php</resource></doi_data></journal_volume></journal_issue><journal_article language="en"><titles><title>Solving the Cauchy Problem Related to the Helmholtz Equation through a Genetic Algorithm</title></titles><contributors><person_name sequence="first" contributor_role="author"><given_name>Jamal</given_name><surname>Daoudi</surname><affiliation>SMAD Team, Department of Mathematics Polydisciplinary Faculty of Larache Abdelmalek Essaadi University MOROCCO</affiliation></person_name><person_name sequence="additional" contributor_role="author"><given_name>Chakir</given_name><surname>Tajani</surname><affiliation>SMAD Team, Department of Mathematics Polydisciplinary Faculty of Larache Abdelmalek Essaadi University MOROCCO</affiliation></person_name></contributors><jats:abstract xmlns:jats="http://www.ncbi.nlm.nih.gov/JATS1"><jats:p>The Cauchy problem associated with the Helmholtz equation is an ill-posed inverse problem that is challenging to solve due to its instability and sensitivity to noise. In this paper, we propose a metaheuristic approach to solve this problem using Genetic Algorithms in conjunction with Tikhonov regularization. Our approach is able to produce stable, convergent, and accurate solutions for the Cauchy problem, even in the presence of noise. Numerical results on both regular and irregular domains show the effectiveness and accuracy of our approach.</jats:p></jats:abstract><publication_date media_type="online"><month>10</month><day>9</day><year>2023</year></publication_date><publication_date media_type="print"><month>10</month><day>9</day><year>2023</year></publication_date><pages><first_page>719</first_page><last_page>729</last_page></pages><publisher_item><item_number item_number_type="article_number">79</item_number></publisher_item><ai:program xmlns:ai="http://www.crossref.org/AccessIndicators.xsd" name="AccessIndicators"><ai:free_to_read start_date="2023-10-09"/><ai:license_ref applies_to="am" start_date="2023-10-09">https://wseas.com/journals/mathematics/2023/b605106-039(2023).pdf</ai:license_ref></ai:program><archive_locations><archive name="Portico"/></archive_locations><doi_data><doi>10.37394/23206.2023.22.79</doi><resource>https://wseas.com/journals/mathematics/2023/b605106-039(2023).pdf</resource></doi_data><citation_list><citation key="ref0"><unstructured_citation>Kirsch, A. 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