<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>99cf140c-73cd-431d-8b88-6d698740e6e3</doi_batch_id><timestamp>20231106054503964</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>International Journal of Computational and Applied Mathematics &amp; Computer Science</full_title><issn media_type="electronic">2769-2477</issn><archive_locations><archive name="Portico"/></archive_locations><doi_data><doi>10.37394/232028</doi><resource>https://wseas.com/journals/camcs/index.php</resource></doi_data></journal_metadata><journal_issue><publication_date media_type="online"><month>4</month><day>10</day><year>2023</year></publication_date><publication_date media_type="print"><month>4</month><day>10</day><year>2023</year></publication_date><journal_volume><volume>3</volume><doi_data><doi>10.37394/232028.2023.3</doi><resource>https://wseas.com/journals/camcs/2023.php</resource></doi_data></journal_volume></journal_issue><journal_article language="en"><titles><title>Ant Metaheuristic Algorithm for the Frequency Assignment Problem</title></titles><contributors><person_name sequence="first" contributor_role="author"><given_name>Khaled</given_name><surname>Alrajhi</surname><affiliation>King Khaled Military Academy, Riyadh, SAUDI ARABIA</affiliation></person_name></contributors><jats:abstract xmlns:jats="http://www.ncbi.nlm.nih.gov/JATS1"><jats:p>This study proposes the ant metaheuristic algorithm to solve the frequency assignment problem. In this approach, the descent method constructed as three ants which each of which appling a metaheuristics algorithm. Several novel and existing techniques are used to improve the performance of this algorithm. One of these techniques is applying the concept of a well-known graph colouring algorithm, namely recursive largest first. Furthermore, this study compares this algorithm using two visibility definitions. The first definition is based on the number of feasible frequencies and the second one is based on the degree. Additionally, we compare this algorithm using two trail definitions. The first one is between requests and frequencies. The second is between requests and requests. This study considers real and randomly generated benchmark datasets of the static problem and our algorithm achieved competitive results comparing with other ant colony optimization algorithms in the literature.</jats:p></jats:abstract><publication_date media_type="online"><month>11</month><day>6</day><year>2023</year></publication_date><publication_date media_type="print"><month>11</month><day>6</day><year>2023</year></publication_date><pages><first_page>98</first_page><last_page>103</last_page></pages><publisher_item><item_number item_number_type="article_number">11</item_number></publisher_item><ai:program xmlns:ai="http://www.crossref.org/AccessIndicators.xsd" name="AccessIndicators"><ai:free_to_read start_date="2023-11-06"/><ai:license_ref applies_to="am" start_date="2023-11-06">https://wseas.com/journals/camcs/2023/a22camcs-009(2023).pdf</ai:license_ref></ai:program><archive_locations><archive name="Portico"/></archive_locations><doi_data><doi>10.37394/232028.2023.3.11</doi><resource>https://wseas.com/journals/camcs/2023/a22camcs-009(2023).pdf</resource></doi_data><citation_list><citation key="ref0"><unstructured_citation>Metzger, B. (1970), Spectrum Management Tech-nique, Presentation at 38th National ORSA meeting (Detroit, MI). </unstructured_citation></citation><citation key="ref1"><unstructured_citation>Garey, M. and Johnson, D. (1979), Computers and Intractability: A Guide to the Theory of NPCompleteness, Freeman W.H. and Company, San Francisco, California. </unstructured_citation></citation><citation key="ref2"><doi>10.1007/3-540-60469-3_30</doi><unstructured_citation>Kapsalis, A., Chardaire, P., Rayward-Smith, V. and Smith, G. (1995), The Radio Link Frequency As-signment Problem: A Case Study Using Genetic Al-gorithms, Lecture Notes on Computer Science, pp. 117-131. </unstructured_citation></citation><citation key="ref3"><unstructured_citation>Crisan, C. and Mühenbein, H. (1998), The Frequen-cy Assignment Problem: A Look at the Perfor-mance of Evolutionary Search, Lecture Notes in Computer Science, Vol. 1363, pp. 263- 274. </unstructured_citation></citation><citation key="ref4"><doi>10.1007/978-3-642-38703-6_37</doi><unstructured_citation>Parsapoor, M. and Bilstrup, U. (2013), Ant Colony Optimization for Channel Assignment Problem in a Clustered Mobile Ad Hoc Network, International Conference on Swarm Intelligence (ICSI), Vol. 1, pp. 314-322. </unstructured_citation></citation><citation key="ref5"><doi>10.1023/a:1019100324508</doi><unstructured_citation>Tiourine, S., Hurkens, C. and Lenstra, J. K. (1999), Local Search Algorithm for the Radio Link Fre-quency Assignment Problem, Telecommunication System, Vol. 13, pp. 293- 314. </unstructured_citation></citation><citation key="ref6"><unstructured_citation>Bouju, A., Boyce, J., Dimitropoulos, C., Vom Scheidt, G. and Taylor, J. (1995), Tabu Search for the Radio Links Frequency Assignment Problem, In Applied Decision Technologies, London, [ADT'95]. UNICOM Conference. </unstructured_citation></citation><citation key="ref7"><unstructured_citation>Hao, J., Dorne, R. and Galinier, P. (1998), Tabu Search for Frequency Assignment in Mobile Radio Networks, Journal of Heuristics Vol. 4, pp. 47-62. </unstructured_citation></citation><citation key="ref8"><unstructured_citation>Bouju, A., Boyce, J., Dimitropoulos, C., Vom Scheidt, G. and Taylor, J. (1995), Intelligent Search for the Radio Links Frequency Assignment Prob-lem, Proceedings of the International Conference on Digital Signal Processing. </unstructured_citation></citation><citation key="ref9"><doi>10.1038/sj.jors.2600357</doi><unstructured_citation>Costa, D. and Hertz, A., 1997. Ants can colour graphs. Journal of the Operational Research Socie-ty, 48(3), pp.295-305. </unstructured_citation></citation><citation key="ref10"><doi>10.1057/palgrave.jors.2601830</doi><unstructured_citation>Dowsland, K.A. and Thompson, J.M., 2005. Ant col-ony optimization for the examination scheduling problem. Journal of the Operational Research Soci-ety, pp.426-438. </unstructured_citation></citation><citation key="ref11"><doi>10.1016/j.dam.2007.03.025</doi><unstructured_citation>Dowsland, K.A. and Thompson, J.M., 2008. An im-proved ant colony optimisation heuristic for graph colouring. Discrete Applied Mathematics, 156(3), pp.313-324. </unstructured_citation></citation><citation key="ref12"><doi>10.1016/s0167-739x(00)00046-7</doi><unstructured_citation>Maniezzo, V. and Carbonaro, A., 2000. An ANTS heuristic for the frequency assignment problem. Fu-ture Generation Computer Systems, 16(8), pp.927-935. </unstructured_citation></citation><citation key="ref13"><doi>10.1007/978-3-642-38703-6_37</doi><unstructured_citation>Parsapoor, M. and Bilstrup, U., 2013. Ant colony op-timization for channel assignment problem in a clus-tered mobile ad hoc network. In Advances in Swarm Intelligence, pp. 314- 322. Springer Berlin Heidelberg. </unstructured_citation></citation><citation key="ref14"><doi>10.6028/jres.084.024</doi><unstructured_citation>Leighton, F.T., 1979. A graph coloring algorithm for large scheduling problems. Journal of Research of the National Bureau of Standards, 84(6), pp.489-506.</unstructured_citation></citation></citation_list></journal_article></journal></body></doi_batch>