A New Methodology for Solving Multi-Objective Stochastic Optimization Problems with Independent Objective Functions


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

IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Bangkok, Thailand, 10 - 13 December 2013, pp.101-105 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/ieem.2013.6962383
  • City: Bangkok
  • Country: Thailand
  • Page Numbers: pp.101-105
  • Keywords: Generation Expansion Planning, Multi-objective optimization, Pareto optimality, Pareto Uncertainty Index (PUI), PROGRAMMING-PROBLEMS

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.