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From Mixed-Integer Linear to Mixed-Integer Bilevel Linear Programming
2017Bilevel Optimization is a very challenging framework where two players (with different objectives) compete for the definition of the final solution. In this paper we address a generic mixed-integer bilevel linear program, i.e., a bilevel optimization problem where the objective functions and constraints are all linear, and some variables are required ...
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Integer and Mixed Integer Linear Fractional Programming
1997Some of the problems mentioned in Chapter 1 required that either part of the variables, or all of them take integer values. This chapter will study such problems. In particular, we will address the bivalent programming in which part of the variables or all of them can take only values 0 or 1 (Section 9.1).
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A Value-Function-Based Exact Approach for the Bilevel Mixed-Integer Programming Problem
Operational Research, 2017Leonardo Lozano, J. Smith
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Mixed-Integer Nonlinear Programming Applications
1999In this chapter was apply different approaches to solve four rather different MINLP problems: special extensions to time-indexed formulations of production planning problems; a production planning problem in BASF’s petrochemical division; a site analysis of one of BASF’s bigger sites; and a process design problem.
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Multi-objective Mixed Integer Programming
2001Maria Jo~ao Alves, Jo~ao Clímaco
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Optimization of Multilayer Optical Films with a Memetic Algorithm and Mixed Integer Programming
, 2017Yu Shi, Wei Li, A. Raman, S. Fan
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An Introduction to Two-Stage Stochastic Mixed-Integer Programming
, 2017Simge Küçükyavuz, S. Sen
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Minimum Loss Network Reconfiguration Using Mixed-Integer Convex Programming
IEEE Transactions on Power Systems, 2012Rabih A Jabr
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