Abstract
This chapter deals with situations of noncooperative decision making in hierarchical organizations. First, to review the historical background of multi-level programming, we show a couple of conventional computational methods for obtaining Stackelberg solutions to two-level linear programming problems. The subsequent three sections are concerned with computational methods based on genetic algorithms for obtaining Stackelberg solutions to two-level linear, 0-1 and integer programming problems. In the rest of this chapter, we consider formulations and computational methods for multiobjective two-level linear programming and two-level linear stochastic programming.
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© 2009 Springer-Verlag US
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Sakawa, M., Nishizaki, I. (2009). Noncooperative Decision Making in Hierarchical Organizations. In: Nishizaki, I., Sakawa, M. (eds) Cooperative and Noncooperative Multi-Level Programming. Operations Research/Computer Science Interfaces Series, vol 48. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-0676-2_3
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DOI: https://doi.org/10.1007/978-1-4419-0676-2_3
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Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-0675-5
Online ISBN: 978-1-4419-0676-2
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