RT Journal Article
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.
SN 2190-3026
YR 2021
FD 2021
LK http://hdl.handle.net/20.500.14066/4170
UL http://hdl.handle.net/20.500.14066/4170
LA eng
NO CONACYT - Consejo Nacional de Ciencia y Tecnología
DS MINDS@UW
RD 26-dic-2024