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4.5. Multiobjective programming

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  • Psarras, J.
  • Capros, P.
  • Samouilidis, J.-E.

Abstract

The work presented in this paper focuses on the introduction of multiobjective programming methods into a large-scale energy systems planning model. We first review several multiobjective techniques, ranging from simple methods aiming at exploring the set of efficient solutions, to complex interactive algorithms providing best compromise solutions. We also review and apply an algorithm which implements a decentralized hierarchical decision process with multiple objectives. All methods are applied to versions of an existing large-scale linear programming model of the energy system. We evaluate these methods on a practical basis, concerning mainly the computational effort needed to implement the algorithms and the quality of the interaction with a decision-maker.

Suggested Citation

  • Psarras, J. & Capros, P. & Samouilidis, J.-E., 1990. "4.5. Multiobjective programming," Energy, Elsevier, vol. 15(7), pages 583-605.
    • Handle: RePEc:eee:energy:v:15:y:1990:i:7:p:583-605
    DOI: 10.1016/0360-5442(90)90007-O
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    References listed on IDEAS

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    5. Whitford, David T & Davis, Wayne J, 1983. "A generalized hierarchical model of resource allocation," Omega, Elsevier, vol. 11(3), pages 279-291.
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    7. Dennis J. Sweeney & E. P. Winkofsky & Probir Roy & Norman R. Baker, 1978. "Composition vs. Decomposition: Two Approaches to Modeling Organizational Decision Processes," Management Science, INFORMS, vol. 24(14), pages 1491-1499, October.
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    Cited by:

    1. Vladimir Zybatov, 2018. "Strategic Planning of Energy-Efficient Development of a Region of the Russian Federation," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(3), pages 941-954.

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