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

Maciej Nowak () and Tadeusz Trzaskalik ()
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Maciej Nowak: University of Economics in Katowice
Tadeusz Trzaskalik: University of Economics in Katowice

A chapter in Operations Research Proceedings 2015, 2017, pp 295-300 from Springer

Abstract: 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.

Keywords: Multi-objective programming; Dynamic programming; Stochastic models; Quasi-hierarchical problems (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/978-3-319-42902-1_40

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