DocumentCode
694005
Title
A new methodology for solving multi-objective stochastic optimization problems with independent objective functions
Author
Selcuklu, S.B. ; Coit, David W. ; Felder, F. ; Rodgers, M. ; Wattanapongsakorn, Naruemon
Author_Institution
Ind. & Syst. Eng., Rutgers Univ., Piscataway, NJ, USA
fYear
2013
fDate
10-13 Dec. 2013
Firstpage
101
Lastpage
105
Abstract
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.
Keywords
Pareto optimisation; stochastic programming; PUI; Pareto optimal set; Pareto uncertainty index; generation expansion planning problem; independent objective functions; multiobjective stochastic optimization problem solving; stochastic problem; Linear programming; Minimization; Pareto optimization; Programming; Stochastic processes; Uncertainty; Generation Expansion Planning. Multi-objective optimization; Pareto Uncertainty Index (PUI); Pareto optimality;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Engineering and Engineering Management (IEEM), 2013 IEEE International Conference on
Conference_Location
Bangkok
Type
conf
DOI
10.1109/IEEM.2013.6962383
Filename
6962383
Link To Document