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چکیده:   (29504 مشاهده)
In this paper a hybrid algorithm based on exploration power of the Genetic algorithms and exploitation capability of Nelder Mead simplex is presented for global optimization of multi-variable functions. Some modifications are imposed on genetic algorithm to improve its capability and efficiency while being hybridized with Simplex method. Benchmark test examples of structural optimization with a large number of variables and constraints are chosen to show the robustness of the algorithm.
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نوع مطالعه: پژوهشي | موضوع مقاله: Optimal design
دریافت: 1390/8/2 | انتشار: 1389/12/24

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