The use of optimization techniques has become integral to the design and analysis of most industrial and socio-economic systems. Great strides have been made recently in the solution of large-scale problems arising in such areas as production planning, airline scheduling, government regulation, and engineering design, to name a few. Analysts have found, however, that standard mathematical programming models are often inadequate in these situations because more than a single objective function and a single decision maker are involved. Multiple objective programming deals with the extension of optimization techniques to account for several objective functions, while game theory deals with the inter-personal dynamics surrounding conflict. Bilevel programming, the focus of this book, is in a narrow sense the combination of the two. It addresses the problern in which two decision makers, each with their individual objectives, act and react in a noncooperative, sequential manner. The actions of one affect the choices and payoffs available to the other but neither player can completely dominate the other in the traditional sense.

1 Introduction.- 2 Linear Programming.- 3 Integer Programming.- 4 Nonlinear Programming.- 5 Linear BLP: Continuous Variables.- 6 Linear BLP: Discrete Variables.- 7 Convex Bilevel Programming.- 8 General Bilevel Programming.- 9 Heuristics.- 10 Transportation Network Design.- 11 Production Planning.- 12 Determining Price Support Levels for Biofuel Crops.- References.