A new hybrid method for nonlinear complementarity problems

A new hybrid method for nonlinear complementarity problems

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Article ID: iaor20116076
Volume: 49
Issue: 3
Start Page Number: 493
End Page Number: 520
Publication Date: Jul 2011
Journal: Computational Optimization and Applications
Authors: , ,
Keywords: optimization, heuristics: local search
Abstract:

In this paper, a new hybrid method is proposed for solving nonlinear complementarity problems (NCP) with P 0 function. In the new method, we combine a smoothing nonmonotone trust region method based on a conic model and line search techniques. We reformulate the NCP as a system of semismooth equations using the Fischer‐Burmeister function. Using Kanzow’s smooth approximation function to construct the smooth operator, we propose a smoothing nonmonotone trust region algorithm of a conic model for solving the NCP with P 0 functions. This is different from the classical trust region methods, in that when a trial step is not accepted, the method does not resolve the trust region subproblem but generates an iterative point whose steplength is defined by a line search. We prove that every accumulation point of the sequence generated by the algorithm is a solution of the NCP. Under a nonsingularity condition, the superlinear convergence of the algorithm is established without a strict complementarity condition.

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