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

Kaiserslautern, Germany September 17-September 19

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http://doi.ieeecomputersociety.org/10.1109/HIS.2007.53

7th International Conference on Hybri ...

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	ASCII Text	x
	Diogo Ferreira Pacheco, Tarc?sio Daniel P. Lucas, Fernando B. de Lima Neto, "How to Obtain Fair Managerial Decisions in Sugar Cane Harvest Using NSGA-II," Hybrid Intelligent Systems, International Conference on, pp. 186-191, 7th International Conference on Hybrid Intelligent Systems (HIS 2007), 2007.

	BibTex	x
	@article{ 10.1109/HIS.2007.53, author = {Diogo Ferreira Pacheco and Tarc?sio Daniel P. Lucas and Fernando B. de Lima Neto}, title = {How to Obtain Fair Managerial Decisions in Sugar Cane Harvest Using NSGA-II}, journal ={Hybrid Intelligent Systems, International Conference on}, volume = {0}, year = {2007}, isbn = {0-7695-2946-1}, pages = {186-191}, doi = {http://doi.ieeecomputersociety.org/10.1109/HIS.2007.53}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Hybrid Intelligent Systems, International Conference on TI - How to Obtain Fair Managerial Decisions in Sugar Cane Harvest Using NSGA-II SN - 0-7695-2946-1 SP186 EP191 A1 - Diogo Ferreira Pacheco, A1 - Tarc?sio Daniel P. Lucas, A1 - Fernando B. de Lima Neto, PY - 2007 KW - null VL - 0 JA - Hybrid Intelligent Systems, International Conference on ER -

Diogo Ferreira Pacheco, Pernambuco State University, Recife-PE, Brazil

Tarc?sio Daniel P. Lucas, Pernambuco State University, Recife-PE, Brazil

Fernando B. de Lima Neto, Pernambuco State University, Recife-PE, Brazil

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.

Citation:

Diogo Ferreira Pacheco, Tarc?sio Daniel P. Lucas, Fernando B. de Lima Neto, "How to Obtain Fair Managerial Decisions in Sugar Cane Harvest Using NSGA-II," his, pp.186-191, 7th International Conference on Hybrid Intelligent Systems (HIS 2007), 2007

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