Metaheuristics for capacitated vehicle routing for flood victims evacuation
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
Over the last decade, there has been a rise in extreme weather events which has affected the lives and wellbeing of the community. In Australia, frequent flooding has impacted the Hawkesbury-Nepean valley consequential in the loss of lives, animals, and property. This necessitates enhanced flood risk management through innovative response and evacuation strategies. Timely evacuation of victims from disaster-prone areas reduces the number of casualties. To save a maximum number of victims from the flood-prone area by optimum utilisation of resources requires computational approaches. This study proposes an Artificial Bee Colony algorithm to evacuate age care facility residents in the Hawkesbury-Nepean Valley. The results show that the proposed model can help the response managers to make decisions within appropriate computational time. The proposed model will facilitate the decision-makers to make timely decisions based on the number of victims, available transport facilities, and optimum scheduling and routing. Index Terms - Hawkesbury-Nepean valley, aged care facilities, flood risk management, Artificial Bee Colony algorithm, evacuation response, Capacitated Vehicle Routing Problem.
Details
| Original language | English |
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| Title of host publication | 2nd International Conference on Advances in Communication Technology and Computer Engineering (ICACTCE’22) |
| Publication status | Published - 11 Jul 2023 |
| Peer-reviewed | Yes |
Publication series
| Series | AIP Conference Proceedings |
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| Number | 1 |
| Volume | 2814 |
| ISSN | 0094-243X |
Conference
| Title | 2nd International Conference on Advances in Communication Technology and Computer Engineering |
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| Abbreviated title | ICACTCE 2022 |
| Conference number | 2 |
| Duration | 24 - 25 June 2022 |
| Website | |
| Location | Online |
| City | Meknes |
| Country | Morocco |
External IDs
| ORCID | /0000-0002-2939-2090/work/161887594 |
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