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Solving stochastic multi-objective programming through the GP model

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  • Belaid AOUNI
  • Cinzia COLAPINTO
  • Davide LA TORRE

Abstract

The aim of this paper is to present an approach for solving the Stochastic Multi-Objective Programming (SMOP) through the Goal Programming (GP) model. We introduce a deterministic equivalent formulation and we show how GP can provide solutions to SMOP. The proposed method will be illustrated through a numerical example from the Tunisian stock exchange market.

Suggested Citation

  • Belaid AOUNI & Cinzia COLAPINTO & Davide LA TORRE, 2008. "Solving stochastic multi-objective programming through the GP model," Departmental Working Papers 2008-18, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
  • Handle: RePEc:mil:wpdepa:2008-18
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    File URL: http://wp.demm.unimi.it/files/wp/2008/DEMM-2008_018wp.pdf
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    References listed on IDEAS

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    Cited by:

    1. Aouni, Belaid & Colapinto, Cinzia & La Torre, Davide, 2014. "Financial portfolio management through the goal programming model: Current state-of-the-art," European Journal of Operational Research, Elsevier, vol. 234(2), pages 536-545.
    2. William Seitz & D La Torre, 2014. "Modelling Investment Optimization on Smallholder Farms through Multi-criteria Decision Approaches: An Example from Ethiopia," CSAE Working Paper Series 2014-06, Centre for the Study of African Economies, University of Oxford.
    3. Jayaraman, Raja & Colapinto, Cinzia & Torre, Davide La & Malik, Tufail, 2015. "Multi-criteria model for sustainable development using goal programming applied to the United Arab Emirates," Energy Policy, Elsevier, vol. 87(C), pages 447-454.

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    Keywords

    Stochastic Multi-Objective Programming; Goal Programming;

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