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Optimal and Near-Optimal Strategies in Discrete Stochastic Multiobjective Quasi-hierarchical Dynamic Problems

In: Operations Research Proceedings 2015

Author

Listed:
  • Maciej Nowak

    (University of Economics in Katowice)

  • Tadeusz Trzaskalik

    (University of Economics in Katowice)

Abstract

Multi-stage, multi-criteria discrete decision processes under risk are considered and Bellmans principle of optimality is applied. Quasi-hierarchy of multi-period criteria is determined by the decision maker. The aim of the paper is to propose an algorithm to solve quasi-hierarchical problem according to decision maker’s requirements. The process of obtaining the final solution is interactive.

Suggested Citation

  • Maciej Nowak & Tadeusz Trzaskalik, 2017. "Optimal and Near-Optimal Strategies in Discrete Stochastic Multiobjective Quasi-hierarchical Dynamic Problems," Operations Research Proceedings, in: Karl Franz Dörner & Ivana Ljubic & Georg Pflug & Gernot Tragler (ed.), Operations Research Proceedings 2015, pages 295-300, Springer.
    • Handle: RePEc:spr:oprchp:978-3-319-42902-1_40
    DOI: 10.1007/978-3-319-42902-1_40
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    Cited by:

    1. Maciej Nowak & Tadeusz Trzaskalik, 2022. "A trade-off multiobjective dynamic programming procedure and its application to project portfolio selection," Annals of Operations Research, Springer, vol. 311(2), pages 1155-1181, April.

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