Global Optimization Techniques for Mixed Complementarity Problems
نویسنده
چکیده
We investigate the theoretical and numerical properties of two global optimization techniques for the solution of mixed complementarity problems. More precisely, using a standard semismooth Newton-type method as a basic solver for complementarity problems, we describe how the performance of this method can be improved by incorporating two wellknown global optimization algorithms, namely a tunneling and a filled function method. These methods are tested and compared with each other on a couple of very difficult test examples.
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ورودعنوان ژورنال:
- J. Global Optimization
دوره 16 شماره
صفحات -
تاریخ انتشار 2000