TY - GEN
T1 - A new methodology for solving multi-objective stochastic optimization problems with independent objective functions
AU - Selcuklu, S. B.
AU - Coit, D. W.
AU - Felder, F.
AU - Rodgers, M.
AU - Wattanapongsakorn, N.
PY - 2014/11/18
Y1 - 2014/11/18
N2 - For multi-objective optimization problems, a common solution methodology is to determine a Pareto optimal set. However, the Pareto optimal set only pertains to deterministic results. Our research aims to introduce Pareto Uncertainty Index which reflects the stochastic nature of the problem in the results. The proposed method is applied to a simplified Generation Expansion Planning problem to test the Pareto Uncertainty Index idea.
AB - For multi-objective optimization problems, a common solution methodology is to determine a Pareto optimal set. However, the Pareto optimal set only pertains to deterministic results. Our research aims to introduce Pareto Uncertainty Index which reflects the stochastic nature of the problem in the results. The proposed method is applied to a simplified Generation Expansion Planning problem to test the Pareto Uncertainty Index idea.
KW - Generation Expansion Planning. Multi-objective optimization
KW - Pareto Uncertainty Index (PUI)
KW - Pareto optimality
UR - http://www.scopus.com/inward/record.url?scp=84914127033&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84914127033&partnerID=8YFLogxK
U2 - 10.1109/IEEM.2013.6962383
DO - 10.1109/IEEM.2013.6962383
M3 - Conference contribution
T3 - IEEE International Conference on Industrial Engineering and Engineering Management
SP - 101
EP - 105
BT - IEEE International Conference on Industrial Engineering and Engineering Management
PB - IEEE Computer Society
T2 - 2013 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2013
Y2 - 10 December 2013 through 13 December 2013
ER -