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.
| Original language | English |
|---|---|
| Title of host publication | IEEE International Conference on Industrial Engineering and Engineering Management |
| Publisher | IEEE Computer Society |
| Pages | 101-105 |
| Number of pages | 5 |
| ISBN (Print) | 9781479909865 |
| DOIs | |
| Publication status | Published - Nov 18 2014 |
| Event | 2013 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2013 - Bangkok, Thailand Duration: Dec 10 2013 → Dec 13 2013 |
Other
| Other | 2013 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2013 |
|---|---|
| Country | Thailand |
| City | Bangkok |
| Period | 12/10/13 → 12/13/13 |
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Keywords
- Generation Expansion Planning. Multi-objective optimization
- Pareto optimality
- Pareto Uncertainty Index (PUI)
ASJC Scopus subject areas
- Business, Management and Accounting (miscellaneous)
- Industrial and Manufacturing Engineering
- Safety, Risk, Reliability and Quality
Cite this
A new methodology for solving multi-objective stochastic optimization problems with independent objective functions. / Selcuklu, S. B.; Coit, D. W.; Felder, Frank; Rodgers, M.; Wattanapongsakorn, N.
IEEE International Conference on Industrial Engineering and Engineering Management. IEEE Computer Society, 2014. p. 101-105 6962383.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
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, Frank
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 optimality
KW - Pareto Uncertainty Index (PUI)
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
AN - SCOPUS:84914127033
SN - 9781479909865
SP - 101
EP - 105
BT - IEEE International Conference on Industrial Engineering and Engineering Management
PB - IEEE Computer Society
ER -