کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5426347 | 1395888 | 2006 | 5 صفحه PDF | دانلود رایگان |
We present a technique to efficiently locate the global minimum of a cost function on a complex multi-dimensional parameter space (e.g. a structural reliability R-factor). The method builds a convergent series of structures from combinatorial simultaneous optimization of all the parameters on different subspaces of the experimental data base. Performance has been tested for two model situations: (1) phase retrieval from electron scattering by a single atom and (2) low-energy electron diffraction analysis of simulated I(V) curves for the Ir(1Â 1Â 0)-p(2Â ÃÂ 1) missing row. Compared under the same conditions, a reduction in the computation effort, is found w.r.t. previous state-of-the-art methods (e.g., simulated annealing and genetic algorithms).
Journal: Surface Science - Volume 600, Issue 7, 1 April 2006, Pages L91-L95