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Noncooperative Decision Making in Hierarchical Organizations

  • Masatoshi Sakawa
  • Ichiro Nishizaki
Chapter
Part of the Operations Research/Computer Science Interfaces Series book series (ORCS, volume 48)

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.

Keywords

Genetic Algorithm Linear Programming Problem Hierarchical Organization Simple Genetic Algorithm Stackelberg Solution 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag US 2009

Authors and Affiliations

  1. 1.Department of Industrial and Fac. EngineeringHiroshima UniversityHigashi-HiroshimaJapan
  2. 2.Department of Industrial and Fac. EngineeringHiroshima UniversityHigashi-HiroshimaJapan

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