How to Obtain Fair Managerial Decisions in Sugar Cane Harvest Using NSGA-II

The world’s demand for sugar and particularly for renewable fuels such as ethanol requires an increase in production in sugar mills. The use of artificial neural networks (ANN) posed as a predictive core associated with the algorithm NSGA-II aims at helping decision makers to optimize the multi-objective harvest problem. This paper presents two approaches and the good results achieved as compared with other classical techniques.

• Type: Conference
• Year: 2007
• Where: HIS
• Authors: Diogo Ferreira Pacheco, Tarcísio Daniel P. Lucas, Fernando Buarque de Lima Neto
• Keywords: Artificial Neural Networks, HIS 2007, Information Technology, Multi-objective Harvest Problem, Sugar Mills