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Institutional Repository [SANDBOX]
Technical University of Crete
Technical University of Crete
EN
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EL
| URI | http://purl.tuc.gr/dl/dias/E480F515-24BB-4C88-A61B-6AF4CAF24389 | - |
| Identifier | https://doi.org/10.1016/j.swevo.2021.100956 | - |
| Identifier | https://www.sciencedirect.com/science/article/pii/S2210650221001188 | - |
| Language | en | - |
| Extent | 19 pages | en |
| Title | Moving peak drone search problem: an online multi-swarm intelligence approach for UAV search operations | en |
| Creator | Kyriakakis Nikolaos-Antonios | en |
| Creator | Κυριακακης Νικολαος-Αντωνιος | el |
| Creator | Marinaki Magdalini | en |
| Creator | Μαρινακη Μαγδαληνη | el |
| Creator | Matsatsinis Nikolaos | en |
| Creator | Ματσατσινης Νικολαος | el |
| Creator | Marinakis Ioannis | en |
| Creator | Μαρινακης Ιωαννης | el |
| Publisher | Elsevier | en |
| Content Summary | Many practical, real-world applications have dynamic features. This paper introduces a novel dynamic optimization problem applied to Unmanned Aerial Vehicle (UAV) search and rescue scenarios, named the Moving Peak Drone Search Problem (MPDSP). It utilizes the dynamic environment generator of the well-known Moving Peak Benchmark (MPB) and it is formulated as a maximization problem, with additional constraints imposed by the use of UAVs. For solving the MPDSP, a multi-swarm framework is proposed and seven optimization algorithms are tested. Five well known swarm intelligence algorithms and two algorithms effectively used in continuous and dynamic optimization problems. The implemented methods are evaluated and compared on 105 scenarios with 4 different UAV fleet configurations. Among the tested swarm intelligence variants, the Particle Swarm Optimization implementations proved to be the most effective for solving the MPDSP. | en |
| Type of Item | Peer-Reviewed Journal Publication | en |
| Type of Item | Δημοσίευση σε Περιοδικό με Κριτές | el |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2023-04-10 | - |
| Date of Publication | 2021 | - |
| Subject | Dynamic optimization | en |
| Subject | Moving peak benchmark | en |
| Subject | UAV | en |
| Subject | Swarm optimization | en |
| Subject | Humanitarian operations | en |
| Subject | Search and rescue | en |
| Bibliographic Citation | N. A. Kyriakakis, M. Marinaki, N. Matsatsinis, and Y. Marinakis, “Moving peak drone search problem: an online multi-swarm intelligence approach for UAV search operations,” Swarm Evol. Comput., vol. 66, Oct. 2021, doi: 10.1016/j.swevo.2021.100956. | en |
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