| dc.contributor.author | Arzamendia López, Mario Eduardo | |
| dc.contributor.author | Gutierrez Reina, Daniel | |
| dc.contributor.author | Toral Marin, Sergio | |
| dc.contributor.author | Gregor Recalde, Derlis Orlando | |
| dc.contributor.author | Tawfik, Hisssam | |
| dc.contributor.other | Universidad Nacional de Asunción - Facultad de Ingeniería | es |
| dc.date.accessioned | 2022-04-27T00:30:34Z | |
| dc.date.available | 2022-04-27T00:30:34Z | |
| dc.date.issued | 2018 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.14066/3660 | |
| dc.description.abstract | An evolutionary-based path planning is designed for an Autonomous Surface Vehicle (ASV) used in environmental monitoring tasks. The main objective is that the ASV covers the maximum area of a mass of water like the Ypacarai Lake while taking water samples for sensing pollution conditions. | es |
| dc.description.sponsorship | CONACYT – Consejo Nacional de Ciencia y Tecnología | es |
| dc.language.iso | eng | es |
| dc.subject.classification | 2 Medio ambiente | es |
| dc.subject.other | AUTONOMOUS SURFACE VEHICLES (ASVS) | es |
| dc.subject.other | COVERAGE PATH PLANNING | es |
| dc.subject.other | EULERIAN CIRCUITS (ECS) | es |
| dc.subject.other | GENETIC ALGORITHMS | es |
| dc.title | Evolutionary computation for solving path planning of an autonomous surface vehicle using eulerian graphs | es |
| dc.type | research article | es |
| dc.conference.date | 2018 | |
| dc.conference.place | Rio de Janeiro, BR | es |
| dc.conference.title | IEEE Congress on Evolutionary Computation | es |
| dc.description.fundingtext | PROCIENCIA | es |
| dc.relation.projectCONACYT | PINV15-177 | es |
| dc.rights.accessRights | embargoed access | es |
| dc.rights.copyright | © 2018 IEEE | es |
| dc.subject.ocde | MEDIO AMBIENTE | es |
