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Abstract

One common characteristic of many methods for solving multiobjective linear programming problems (particularly the methods for generating the nondominated set and the interactive methods) is that they require the solution of a sequence of single objective linear programming problems. In large scale problems (i.e. problems with many objectives, constraints or variables) this can result in a significant computational burden. This chapter will discuss ways in which the structure of the problem can be used to reduce this computational burden.

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© 1992 Springer Science+Business Media New York

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Ringuest, J.L. (1992). Computational Efficiency and Problems with Special Structure. In: Multiobjective Optimization: Behavioral and Computational Considerations. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-3612-3_7

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  • DOI: https://doi.org/10.1007/978-1-4615-3612-3_7

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-6605-8

  • Online ISBN: 978-1-4615-3612-3

  • eBook Packages: Springer Book Archive

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