DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yoon, Sukmin | ko |
dc.contributor.author | Kim, Jinwhan | ko |
dc.date.accessioned | 2023-07-28T03:01:15Z | - |
dc.date.available | 2023-07-28T03:01:15Z | - |
dc.date.created | 2023-07-07 | - |
dc.date.issued | 2019-01 | - |
dc.identifier.citation | AIAA Scitech Forum, 2019 | - |
dc.identifier.uri | http://hdl.handle.net/10203/310934 | - |
dc.description.abstract | Cooperative operation with multiple unmanned vehicles has received much attention, as the technology for using a single unmanned system has gradually matured for practical applications. Multi-agent task allocation and assignment algorithms are crucial for effective cooperation between multiple vehicles. This study addresses optimal fleet sizing and route planning for a group of multiple vehicles. In order to minimize the sum of total distance traveled by the vehicles, a systematic solution approach is proposed. The concept of virtual tasks is introduced to decrease the complexity of the problem, and a near-optimal route is calculated using the proposed solution approach. The performance of the proposed method is demonstrated through numerical simulations. | - |
dc.language | English | - |
dc.publisher | American Institute of Aeronautics and Astronautics Inc, AIAA | - |
dc.title | Fleet size optimization and collaborative route planning for multi-vehicle task allocation | - |
dc.type | Conference | - |
dc.identifier.scopusid | 2-s2.0-85083943339 | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | AIAA Scitech Forum, 2019 | - |
dc.identifier.conferencecountry | US | - |
dc.identifier.conferencelocation | San Diego, CA | - |
dc.identifier.doi | 10.2514/6.2019-1572 | - |
dc.contributor.localauthor | Kim, Jinwhan | - |
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