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Parametric Multiobjective Optimization

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Pareto Optimality, Game Theory And Equilibria

Part of the book series: Springer Optimization and Its Applications ((SOIA,volume 17))

The weighted sum approach for finding Pareto optimal solutions in multiobjective optimization has been presented depending on a parameter value. We show that the one-parametric optimization techniques can be applied to parametric multiobjective optimization.

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Author information

Authors and Affiliations

  1. Department of Mathematics, National University of Mongolia, Mongolia

    Rentsen Enkhbat

  2. Institute of Mathematics, Humboldt University Berlin, Berlin, Germany

    Jurgen Guddat

  3. Department of Industrial and Systems Engineering, University of Florida, Gainesville, FL, USA

    Altannar Chinchuluun

Authors
  1. Rentsen Enkhbat
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  2. Jurgen Guddat
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  3. Altannar Chinchuluun
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Editor information

Editors and Affiliations

  1. Department of Industrial and Systems Engineering, University of Florida, Gainesville, FL, USA

    Panos M. Pardalos , Altannar Chinchuluun  & Panos M. Pardalos ,  & 

  2. Department of Production Engineering and Management, Technical University of Crete, 73100, Greece

    Athanasios Migdalas

  3. Department of Production Engineering and Management, Aristotle University of Thessaloniki, Greece

    Leonidas Pitsoulis

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Enkhbat, R., Guddat, J., Chinchuluun, A. (2008). Parametric Multiobjective Optimization. In: Chinchuluun, A., Pardalos, P.M., Migdalas, A., Pitsoulis, L. (eds) Pareto Optimality, Game Theory And Equilibria. Springer Optimization and Its Applications, vol 17. Springer, New York, NY. https://doi.org/10.1007/978-0-387-77247-9_20

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