RT info:eu-repo/semantics/conferencePaper
T1 Solving a many-objective crop rotation problem with evolutionary algorithms
A1 von Lucken Martínez, Christian Daniel
A1 Acosta, Ángel
A1 Rojas, Norma
A2 Universidad Nacional de Asunción. Facultad Politécnica
AB 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.
PB Springer, Singapore
SN 978-981-16-2764-4 (Print)
SN 2190-3018
YR 2021
FD 2021-07-08
LK http://hdl.handle.net/20.500.14066/4170
UL http://hdl.handle.net/20.500.14066/4170
LA eng
NO 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
NO Corresponding author. Correspondence to Christian von Lücken; e-mail: clucken@pol.una.py.
NO Part of the book series: Smart Innovation, Systems and Technologies ((SIST, volume 238)).
NO Consejo Nacional de Ciencia y Tecnología
DS MINDS@UW
RD 03-sep-2026