MILPSMixed-Integer Linear Program Solver
MILPSMagnetic Indoor Local Positioning System (vision impaired navigation system)
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We overcome these difficulties by replacing complementarity conditions and bilinear terms with disjunctive constraints and binary expansion, respectively, to turn the problem into a mixed integer linear program (MILP) (Gabriel and Leuthold, 2010).
However, considering this under the current MILP reformulation is challenging as it would require discretizing the product of the permit price and withholding quantity.
This set of equations form a MILP problem which combined with the multiobjective [epsilon]-constrained method can jointly be solved with any general-purpose solver that deals with MILP models.
In this work a MILP model has been proposed that permits evaluating different goals for the placement of new wind generation resources.
Thus the MI-NLP reduces to an MILP, whose solution will be an approximation of the exact NLP solution.
The function evaluate([zeta]) returns the objective value of the defender, [[summation].sub.l,o] [X.sup.*](l, o)[R.sub.d](l, o), where [X.sup.*] are computed by solving the attacker's MILP for the given defender's policy [zeta], as described above in this section.
Both of these approaches require MILP solvers, for which we used IBM's ILOG CPLEX.