A Global Optimization Method for Nonlinear Bilevel Integer Programming
Su Wei
Abstract
Su Wei
Abstract
A nonlinear integer bilevel programming is well tackled by a new global optimization method proposed herein. The proposed method is performed within a twolevel frame. The upperlevel problem is first continualized, and the continualized problem is then solved using the simulated annealing algorithm. Meanwhile given the information from the upper level, the lower level programming is easily solved after being changed into a nonconstrained optimization problem with the help of a discrete searching technique. The resultant solution from the proposed method is the global optimum. The new method is finally demonstrated by a numerical example, with solution satisfied and the method well verified.
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A nonlinear integer bilevel programming is well tackled by a new global optimization method proposed herein. The proposed method is performed within a twolevel frame. The upperlevel problem is first continualized, and the continualized problem is then solved using the simulated annealing algorithm. Meanwhile given the information from the upper level, the lower level programming is easily solved after being changed into a nonconstrained optimization problem with the help of a discrete searching technique. The resultant solution from the proposed method is the global optimum. The new method is finally demonstrated by a numerical example, with solution satisfied and the method well verified.
Key concepts: Bilevel optimization, Mathematical optimization, Simulated annealing, Nonlinear programming, Integer programming, Nonlinear system, Global optimization, Computer science