Discrete cuckoo search algorithm in scheduling dynamic route of medical and non-medical waste transportation at regional-based health facilities during the Covid-19 pandemic.
In: AIP Conference Proceedings, Jg. 2693 (2023-10-14), Heft 1, S. 1-10
Konferenz
Zugriff:
Medical waste generated during the COVID-19 pandemic has a very large amount. Health facilities in their medical waste management also involve third parties in the management of medical waste. PT. PQR is a third party in the management of medical waste, structuring waste transportation routes so that costs and distance are minimal. In this study, the transportation route will be solved by the Discrete Cuckoo Search (DCS) algorithm. To overcome this problem, first, clustering is done to get the cities that are the routes for each mode of transportation. Then perform the optimal route on the cluster using Discrete Cuckoo Search. This DCS approach is better than the ABC algorithm and the PSO algorithm in simulations using MATLAB R202a. In the ABC algorithm with the same population, the best results were 43,325 km and 42,06149 with an iteration time of 26,524 seconds. While the PSO obtained an average of 43,15212 with the shortest distance of 1843,297 with the shortest distance of 1737,224, iteration time of 26,637 seconds. From the results of calculations using the DCS algorithm, the shortest distance is 40,86915 and the iteration time is 26,143 [ABSTRACT FROM AUTHOR]
Titel: |
Discrete cuckoo search algorithm in scheduling dynamic route of medical and non-medical waste transportation at regional-based health facilities during the Covid-19 pandemic.
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Autor/in / Beteiligte Person: | Arifin, Miftahol ; Hidaytulloh, Syarif ; Sari, Sarah Karenina |
Zeitschrift: | AIP Conference Proceedings, Jg. 2693 (2023-10-14), Heft 1, S. 1-10 |
Quelle: | 2023, Vol. 2693 Issue 1, p1-10. 10p.; Jg. 2693 (2023-10-14) 1, S. 1-10 |
Veröffentlichung: | 2023 |
Medientyp: | Konferenz |
ISSN: | 0094-243X (print) |
DOI: | 10.1063/5.0118767 |
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