| dc.contributor.author | von Lucken Martínez, Christian Daniel | |
| dc.contributor.author | Acosta, Ángel | |
| dc.contributor.author | Rojas, Norma | |
| dc.contributor.other | Universidad Nacional de Asunción. Facultad Politécnica | es |
| dc.date.accessioned | 2022-05-03T01:44:57Z | |
| dc.date.available | 2022-05-03T01:44:57Z | |
| dc.date.issued | 2021-07-08 | |
| dc.identifier.citation | von Lücken, C., Acosta, A., & Rojas, N. (2021, 14-16 de junio). Solving a many-objective crop rotation problem with evolutionary algorithms [Artículo de la Conferencia]. 13th KES-IDT 2021 Conference. https://doi.org/10.1007/978-981-16-2765-1_5 | en |
| dc.identifier.isbn | 978-981-16-2764-4 (Print) | es |
| dc.identifier.isbn | 978-981-16-2765-1 (Online) | es |
| dc.identifier.issn | 2190-3018 | es |
| dc.identifier.other | https://doi.org/10.1007/978-981-16-2765-1_5 | es |
| dc.identifier.uri | http://hdl.handle.net/20.500.14066/4170 | |
| dc.description | Corresponding author. Correspondence to Christian von Lücken; e-mail: clucken@pol.una.py. | en |
| dc.description | Part of the book series: Smart Innovation, Systems and Technologies ((SIST, volume 238)). | en |
| dc.description.abstract | Crop rotation consists of alternating the types of plants grown in the same place in a planned sequence to obtain improved profits and accomplish environmental outcomes. Determining optimal crop rotations is a relevant decision-making problem in agricultural farms. This work presents a seven objective crop rotation problem considering economic, social, and environmental factors and its solution using evolutionary algorithms; to this aim, an initialization procedure and genetic operators are proposed. Five multi- and many-objective evolutionary algorithms were implemented for a given problem instance, and their results were compared. The comparison shows the methods to be used as a tool for improving decision-making in crop rotations. Also, among the compared algorithms, the RVEA obtains the best values for evaluated metrics for the studied instance. | es |
| dc.description.sponsorship | Consejo Nacional de Ciencia y Tecnología | es |
| dc.language.iso | eng | es |
| dc.publisher | Springer, Singapore | es |
| dc.relation.ispartof | Intelligent Decision Technologies: Proceedings of the 13th KES-IDT 2021 Conference | es |
| dc.subject.classification | 3. Exploración y explotación del espacio | es |
| dc.subject.classification | 3.1. Toda la I+D relativa al espacio civil | es |
| dc.subject.other | Crop rotation problems | es |
| dc.subject.other | Evolutionary algorithms | es |
| dc.subject.other | Multiobjective optimization | es |
| dc.title | Solving a many-objective crop rotation problem with evolutionary algorithms | es |
| dc.type | info:eu-repo/semantics/conferencePaper | es |
| dc.type | info:eu-repo/semantics/publishedVersion | es |
| dc.identifier.doi | 10.1007/978-981-16-2765-1_5 | es |
| dc.conference.date | 2021-06-14 | |
| dc.conference.place | Virtual | es |
| dc.conference.title | 13th KES-IDT 2021 Conference | es |
| dc.description.fundingtext | Programa Paraguayo para el Desarrollo de la Ciencia y Tecnología. Proyectos de investigación y desarrollo | es |
| dc.identifier.essn | 2190-3026 | es |
| dc.issue.number | 1 | es |
| dc.page.initial | 59 | es |
| dc.page.initial | 69 | es |
| dc.relation.projectCONACYT | PINV18-949 | es |
| dc.rights.accessRights | info:eu-repo/semantics/closedAccess | es |
| dc.rights.copyright | © 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. | en |
| dc.subject.ocde | 1. Ciencias Naturales | es |
| dc.subject.ocde | 1.1. Matemáticas e informática [matemáticas y otras áreas afines; informática y otras disciplinas afines (solo desarrollo de software; el desarrollo de equipos debe clasificarse en ingeniería)] | es |
| dc.volume.number | 238 | es |
