کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
838231 908356 2010 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
The optimization technique for solving a class of non-differentiable programming based on neural network method
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی (عمومی)
پیش نمایش صفحه اول مقاله
The optimization technique for solving a class of non-differentiable programming based on neural network method
چکیده انگلیسی

In this paper, the optimization techniques for solving a class of non-differentiable optimization problems are investigated. The non-differentiable programming is transformed into an equivalent or approximating differentiable programming. Based on Karush–Kuhn–Tucker optimality conditions and projection method, a neural network model is constructed. The proposed neural network is proved to be globally stable in the sense of Lyapunov and can obtain an exact or approximating optimal solution of the original optimization problem. An example shows the effectiveness of the proposed optimization techniques.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Nonlinear Analysis: Real World Applications - Volume 11, Issue 2, April 2010, Pages 1108–1114
نویسندگان
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