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Promoting ε-Efficiency in Multiple Objective Programming: Theory, Methodology, and Application

In: Operations Research Proceedings 2006

Author

Listed:
  • Margaret Wiecek

    (Clemson University)

  • Alexander Engau

    (Clemson University)

Abstract

A major goal in any optimization or decision-making process is to identify a single or all best solutions within a set of feasible alternatives. In multiple objective programming (MOP), while it is theoretically possible to identify the complete set of efficient solutions, finding an exact description of this set often turns out to be practically impossible or computationally too expensive. Thus many research efforts during the last thirty years have focused on concepts and procedures for the efficient set approximation.

Suggested Citation

  • Margaret Wiecek & Alexander Engau, 2007. "Promoting ε-Efficiency in Multiple Objective Programming: Theory, Methodology, and Application," Operations Research Proceedings, in: Karl-Heinz Waldmann & Ulrike M. Stocker (ed.), Operations Research Proceedings 2006, pages 131-131, Springer.
    • Handle: RePEc:spr:oprchp:978-3-540-69995-8_22
    DOI: 10.1007/978-3-540-69995-8_22
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