Genetic algorithm-based multiple moving target reaching using a fleet of sailboats
dc.contributor.author | Wan, Jian | |
dc.contributor.author | Viel, C | |
dc.contributor.author | Vautier, U | |
dc.contributor.author | Jaulin, L | |
dc.date.accessioned | 2019-11-12T11:31:13Z | |
dc.date.available | 2019-11-12T11:31:13Z | |
dc.date.issued | 2019-11-11 | |
dc.identifier.issn | 2631-6315 | |
dc.identifier.issn | 2631-6315 | |
dc.identifier.uri | http://hdl.handle.net/10026.1/15136 | |
dc.description.abstract |
This study addresses the problem of Dynamic Travelling Salesman Problem for a multi-agent system using a fleet of sailboats. A genetic algorithm (GA) is proposed, which attributes to each agent a varying number of targets to be collected. GA allows obtaining a suboptimal solution in the shortest time possible. Moreover, this study adapts it to the specific problem involving a fleet of sailboats, which is a challenging task with comparison to autonomous underwater vehicles or motorised vehicles in terms of the propulsion. Therein motors can be flexibly controlled while sailboat movements are constrained by available wind direction and speed. Thus the method takes into account wind conditions at various locations of the sailboat. Simulation results demonstrate the effectiveness of the proposed approach. | |
dc.format.extent | 93-100 | |
dc.language | en | |
dc.language.iso | en | |
dc.publisher | Institution of Engineering and Technology (IET) | |
dc.subject | 7 Affordable and Clean Energy | |
dc.title | Genetic algorithm-based multiple moving target reaching using a fleet of sailboats | |
dc.type | journal-article | |
plymouth.issue | 3 | |
plymouth.volume | 1 | |
plymouth.publication-status | Published | |
plymouth.journal | IET Cyber-Systems and Robotics | |
dc.identifier.doi | 10.1049/iet-csr.2019.0029 | |
plymouth.organisational-group | /Plymouth | |
plymouth.organisational-group | /Plymouth/Faculty of Science and Engineering | |
plymouth.organisational-group | /Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics | |
plymouth.organisational-group | /Plymouth/Users by role | |
plymouth.organisational-group | /Plymouth/Users by role/Academics | |
plymouth.organisational-group | /Plymouth/Users by role/Researchers in ResearchFish submission | |
dcterms.dateAccepted | 2019-10-17 | |
dc.rights.embargodate | 2019-11-14 | |
dc.identifier.eissn | 2631-6315 | |
dc.rights.embargoperiod | Not known | |
rioxxterms.funder | EPSRC | |
rioxxterms.identifier.project | Hybrid Set-theoretic Approaches for Constrained Control and Estimation with Applications to Autonomous Sailing Boats | |
rioxxterms.versionofrecord | 10.1049/iet-csr.2019.0029 | |
rioxxterms.licenseref.uri | http://www.rioxx.net/licenses/all-rights-reserved | |
rioxxterms.licenseref.startdate | 2019-11-11 | |
rioxxterms.type | Journal Article/Review | |
plymouth.funder | Hybrid Set-theoretic Approaches for Constrained Control and Estimation with Applications to Autonomous Sailing Boats::EPSRC |