A new methodology for solving multi-objective stochastic optimization problems with independent objective functions

S. B. Selcuklu, D. W. Coit, Frank Felder, M. Rodgers, N. Wattanapongsakorn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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 languageEnglish
Title of host publicationIEEE International Conference on Industrial Engineering and Engineering Management
PublisherIEEE Computer Society
Pages101-105
Number of pages5
ISBN (Print)9781479909865
DOIs
Publication statusPublished - Nov 18 2014
Event2013 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2013 - Bangkok, Thailand
Duration: Dec 10 2013Dec 13 2013

Other

Other2013 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2013
CountryThailand
CityBangkok
Period12/10/1312/13/13

Fingerprint

Multiobjective optimization
Planning
Optimization problem
Pareto
Methodology
Stochastic optimization
Objective function
Uncertainty
Multi-objective optimization

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

Selcuklu, S. B., Coit, D. W., Felder, F., Rodgers, M., & Wattanapongsakorn, N. (2014). A new methodology for solving multi-objective stochastic optimization problems with independent objective functions. In IEEE International Conference on Industrial Engineering and Engineering Management (pp. 101-105). [6962383] IEEE Computer Society. https://doi.org/10.1109/IEEM.2013.6962383

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 proceedingConference contribution

Selcuklu, SB, Coit, DW, Felder, F, Rodgers, M & Wattanapongsakorn, N 2014, A new methodology for solving multi-objective stochastic optimization problems with independent objective functions. in IEEE International Conference on Industrial Engineering and Engineering Management., 6962383, IEEE Computer Society, pp. 101-105, 2013 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2013, Bangkok, Thailand, 12/10/13. https://doi.org/10.1109/IEEM.2013.6962383
Selcuklu SB, Coit DW, Felder F, Rodgers M, Wattanapongsakorn N. A new methodology for solving multi-objective stochastic optimization problems with independent objective functions. In IEEE International Conference on Industrial Engineering and Engineering Management. IEEE Computer Society. 2014. p. 101-105. 6962383 https://doi.org/10.1109/IEEM.2013.6962383
Selcuklu, S. B. ; Coit, D. W. ; Felder, Frank ; Rodgers, M. ; Wattanapongsakorn, N. / A new methodology for solving multi-objective stochastic optimization problems with independent objective functions. IEEE International Conference on Industrial Engineering and Engineering Management. IEEE Computer Society, 2014. pp. 101-105
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