Weiszfeld, tree-seed, and whale optimization algorithms comparison via locating transportation facilities with weightings considering the vulnerability and uncertainty
Searching for an optimum transportation facility location with emergency equipment and staff is essential for a specific region or a country. In this direction, this study addresses the following problems. First, the performances of the Weiszfeld, tree–seed, and whale optimization algorithms are com...
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| Veröffentlicht in: | PloS one Jg. 17; H. 6; S. e0269808 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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Public Library of Science
14.06.2022
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| ISSN: | 1932-6203, 1932-6203 |
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| Abstract | Searching for an optimum transportation facility location with emergency equipment and staff is essential for a specific region or a country. In this direction, this study addresses the following problems. First, the performances of the Weiszfeld, tree–seed, and whale optimization algorithms are compared, which is the first of its kind in the literature. Second, a new approach that tests the importance parameters’ effectiveness in searching for an optimum transportation facility location with emergency equipment and staff is proposed. The Weiszfeld algorithm finds viable solutions with compact data, but it may not handle big data. In contrast, the flexibility of the tree–seed and whale optimization algorithm is literally an advantage when the number of parameters and variables increases. Therefore, there is a notable need to directly compare those algorithms’ performances. If we do, the significance of extending the number of parameters with multiple weightings is appraised. According to the results, the Weiszfeld algorithm can be an almost flexible technique in continuous networks; however, it has reasonable drawbacks with discrete networks, while the tree–seed and whale optimization algorithms fit such conditions. On the other hand, these three methods do not show a fluctuating performance compared to one another based on the locating transportation facilities, and thus they deliver similar performance. Besides, although the value of accuracy is high with the application of the conventional technique Weiszfeld algorithm, it does not provide a significant performance accuracy advantage over the meta-heuristic methods. |
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| AbstractList | Searching for an optimum transportation facility location with emergency equipment and staff is essential for a specific region or a country. In this direction, this study addresses the following problems. First, the performances of the Weiszfeld, tree-seed, and whale optimization algorithms are compared, which is the first of its kind in the literature. Second, a new approach that tests the importance parameters' effectiveness in searching for an optimum transportation facility location with emergency equipment and staff is proposed. The Weiszfeld algorithm finds viable solutions with compact data, but it may not handle big data. In contrast, the flexibility of the tree-seed and whale optimization algorithm is literally an advantage when the number of parameters and variables increases. Therefore, there is a notable need to directly compare those algorithms' performances. If we do, the significance of extending the number of parameters with multiple weightings is appraised. According to the results, the Weiszfeld algorithm can be an almost flexible technique in continuous networks; however, it has reasonable drawbacks with discrete networks, while the tree-seed and whale optimization algorithms fit such conditions. On the other hand, these three methods do not show a fluctuating performance compared to one another based on the locating transportation facilities, and thus they deliver similar performance. Besides, although the value of accuracy is high with the application of the conventional technique Weiszfeld algorithm, it does not provide a significant performance accuracy advantage over the meta-heuristic methods.Searching for an optimum transportation facility location with emergency equipment and staff is essential for a specific region or a country. In this direction, this study addresses the following problems. First, the performances of the Weiszfeld, tree-seed, and whale optimization algorithms are compared, which is the first of its kind in the literature. Second, a new approach that tests the importance parameters' effectiveness in searching for an optimum transportation facility location with emergency equipment and staff is proposed. The Weiszfeld algorithm finds viable solutions with compact data, but it may not handle big data. In contrast, the flexibility of the tree-seed and whale optimization algorithm is literally an advantage when the number of parameters and variables increases. Therefore, there is a notable need to directly compare those algorithms' performances. If we do, the significance of extending the number of parameters with multiple weightings is appraised. According to the results, the Weiszfeld algorithm can be an almost flexible technique in continuous networks; however, it has reasonable drawbacks with discrete networks, while the tree-seed and whale optimization algorithms fit such conditions. On the other hand, these three methods do not show a fluctuating performance compared to one another based on the locating transportation facilities, and thus they deliver similar performance. Besides, although the value of accuracy is high with the application of the conventional technique Weiszfeld algorithm, it does not provide a significant performance accuracy advantage over the meta-heuristic methods. Searching for an optimum transportation facility location with emergency equipment and staff is essential for a specific region or a country. In this direction, this study addresses the following problems. First, the performances of the Weiszfeld, tree–seed, and whale optimization algorithms are compared, which is the first of its kind in the literature. Second, a new approach that tests the importance parameters’ effectiveness in searching for an optimum transportation facility location with emergency equipment and staff is proposed. The Weiszfeld algorithm finds viable solutions with compact data, but it may not handle big data. In contrast, the flexibility of the tree–seed and whale optimization algorithm is literally an advantage when the number of parameters and variables increases. Therefore, there is a notable need to directly compare those algorithms’ performances. If we do, the significance of extending the number of parameters with multiple weightings is appraised. According to the results, the Weiszfeld algorithm can be an almost flexible technique in continuous networks; however, it has reasonable drawbacks with discrete networks, while the tree–seed and whale optimization algorithms fit such conditions. On the other hand, these three methods do not show a fluctuating performance compared to one another based on the locating transportation facilities, and thus they deliver similar performance. Besides, although the value of accuracy is high with the application of the conventional technique Weiszfeld algorithm, it does not provide a significant performance accuracy advantage over the meta-heuristic methods. |
| Audience | Academic |
| Author | Demir, Emre |
| AuthorAffiliation | Eastern Mediterranean University: Dogu Akdeniz Universitesi, TURKEY Department of Civil Engineering, Faculty of Engineering and Natural Sciences, Antalya Bilim University, Antalya, Turkey |
| AuthorAffiliation_xml | – name: Department of Civil Engineering, Faculty of Engineering and Natural Sciences, Antalya Bilim University, Antalya, Turkey – name: Eastern Mediterranean University: Dogu Akdeniz Universitesi, TURKEY |
| Author_xml | – sequence: 1 givenname: Emre orcidid: 0000-0003-0013-4482 surname: Demir fullname: Demir, Emre |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/35700219$$D View this record in MEDLINE/PubMed |
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| CitedBy_id | crossref_primary_10_1080_19427867_2024_2437849 crossref_primary_10_1007_s00521_023_09224_2 |
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| ContentType | Journal Article |
| Copyright | COPYRIGHT 2022 Public Library of Science 2022 Emre Demir. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2022 Emre Demir 2022 Emre Demir |
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| Snippet | Searching for an optimum transportation facility location with emergency equipment and staff is essential for a specific region or a country. In this... |
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| SubjectTerms | Algorithms Analysis Animals Big Data Biology and Life Sciences Coronaviruses COVID-19 Earth Sciences Ecology and Environmental Sciences Emergency equipment Emergency vehicles Engineering Engineering and Technology Evaluation Heuristic Heuristic methods Mathematical optimization Methods Optimization Optimization algorithms Optimization techniques Parameters Physical Sciences Research and Analysis Methods Searching Seeds Traffic congestion Traffic flow Transportation Transportation Facilities Trees Uncertainty Vehicles Whales |
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| Title | Weiszfeld, tree-seed, and whale optimization algorithms comparison via locating transportation facilities with weightings considering the vulnerability and uncertainty |
| URI | https://www.ncbi.nlm.nih.gov/pubmed/35700219 https://www.proquest.com/docview/2687696590 https://www.proquest.com/docview/2676554597 https://pubmed.ncbi.nlm.nih.gov/PMC9197024 https://doaj.org/article/2415610bbec04ed8b98b0f9d3e9884c8 http://dx.doi.org/10.1371/journal.pone.0269808 |
| Volume | 17 |
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