https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Basturk_Sahinkaya_2020aBasturk Sahinkaya 2020a - Revision history2026-04-25T22:49:20ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10https://www.scipedia.com/wd/index.php?title=Basturk_Sahinkaya_2020a&diff=215226&oldid=prevScipediacontent: Scipediacontent moved page Draft Content 665954132 to Basturk Sahinkaya 2020a2021-02-16T09:08:57Z<p>Scipediacontent moved page <a href="/public/Draft_Content_665954132" class="mw-redirect" title="Draft Content 665954132">Draft Content 665954132</a> to <a href="/public/Basturk_Sahinkaya_2020a" title="Basturk Sahinkaya 2020a">Basturk Sahinkaya 2020a</a></p>
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</td></tr></table>Scipediacontenthttps://www.scipedia.com/wd/index.php?title=Basturk_Sahinkaya_2020a&diff=215225&oldid=prevScipediacontent: Created page with " == Abstract == <jats:title content-type="abstract-subheading">Purpose</jats:title> <jats:p>The purpose of this paper is to present a detailed performance comparison of rece..."2021-02-16T09:08:50Z<p>Created page with " == Abstract == <jats:title content-type="abstract-subheading">Purpose</jats:title> <jats:p>The purpose of this paper is to present a detailed performance comparison of rece..."</p>
<p><b>New page</b></p><div><br />
== Abstract ==<br />
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<jats:title content-type="abstract-subheading">Purpose</jats:title> <jats:p>The purpose of this paper is to present a detailed performance comparison of recent and state-of-the-art population-based optimization algorithms for the air traffic control problem.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Design/methodology/approach</jats:title> <jats:p>Landing sequence and corresponding landing times for the aircrafts were determined by using population-based optimization algorithms such as artificial bee colony, particle swarm, differential evolution, biogeography-based optimization, simulated annealing, firefly and teaching–learning-based optimization. To obtain a fair comparison, all simulations were repeated 30 times for each of the seven algorithms, two different problems and two different population sizes, and many different criteria were used.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Findings</jats:title> <jats:p>Compared to conventional methods that depend on a single solution at the same time, population-based algorithms have simultaneously produced many alternate possible solutions that can be used recursively to achieve better results.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Research limitations/implications</jats:title> <jats:p>In some cases, it may take slightly longer to obtain the optimum landing sequence and times compared to the methods that give a direct result; however, the processing times can be reduced using powerful computers or GPU computations.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Practical implications</jats:title> <jats:p>The simulation results showed that using population-based optimization algorithms were useful to obtain optimal landing sequence and corresponding landing times. Thus, the proposed air traffic control method can also be used effectively in real airport applications.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Social implications</jats:title> <jats:p>By using population-based algorithms, air traffic control can be performed more effectively. In this way, there will be more efficient planning of passengers’ travel schedules and efficient airport operations.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Originality/value</jats:title> <jats:p>The study compares the performances of recent and state-of-the-art optimization algorithms in terms of effective air traffic control and provides a useful approach.</jats:p> </jats:sec<br />
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== Original document ==<br />
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The different versions of the original document can be found in:<br />
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* [https://avesis.erciyes.edu.tr/publication/details/ddbb813a-8828-42f0-94c1-40ac55127d9b/oai https://avesis.erciyes.edu.tr/publication/details/ddbb813a-8828-42f0-94c1-40ac55127d9b/oai]<br />
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* [https://www.emerald.com/insight/content/doi/10.1108/AEAT-10-2019-0212/full/html https://www.emerald.com/insight/content/doi/10.1108/AEAT-10-2019-0212/full/html],<br />
: [https://academic.microsoft.com/#/detail/3019686124 https://academic.microsoft.com/#/detail/3019686124]<br />
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* [https://www.emerald.com/insight/content/doi/10.1108/AEAT-10-2019-0212/full/xml https://www.emerald.com/insight/content/doi/10.1108/AEAT-10-2019-0212/full/xml],<br />
: [https://www.emerald.com/insight/content/doi/10.1108/AEAT-10-2019-0212/full/html https://www.emerald.com/insight/content/doi/10.1108/AEAT-10-2019-0212/full/html],<br />
: [http://dx.doi.org/10.1108/aeat-10-2019-0212 http://dx.doi.org/10.1108/aeat-10-2019-0212] under the license https://www.emerald.com/insight/site-policies</div>Scipediacontent