This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
7th International Conference on Hybrid Intelligent Systems (HIS 2007)
How to Obtain Fair Managerial Decisions in Sugar Cane Harvest Using NSGA-II
Kaiserslautern, Germany
September 17-September 19
ISBN: 0-7695-2946-1
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
Usage of this product signifies your acceptance of the Terms of Use.