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Line Search and Genetic Approaches forSolving Linear Tri-level Programming Problem

عنوان مقاله: Line Search and Genetic Approaches forSolving Linear Tri-level Programming Problem
شناسه ملی مقاله: JR_IJMAE-1-4_001
منتشر شده در شماره 4 دوره 1 فصل November در سال 1393
مشخصات نویسندگان مقاله:

Eghbal Hosseini - Department of Mathematics, Payam Noor University of Tehran, Tehran, Iran
Isa Nakhai Kamalabadi - Department of Industry, University of Kurdistan, Sanandaj, Iran

خلاصه مقاله:
in the recent years, the multi level programming problems specially the bi level and trilevel programming problems TLPP are interested by many researchers and these problems, particularly TLPLP are known as an appropriate tool to solve the real problems in several areas of optimization such as economic, traffic finance the liternture shows ig has been proposed a few attempts for solving using TLPP. in this paper, we attempt to propose a new function for smoothing the trilevel programming problem after usning karush kuhn tucker condition also we develop two effective apporaches, and based on genetic algorighm,

کلمات کلیدی:
Linear bi-level programming problem, Linear tri -levelprogramming problem, Karush-Kuhn-Tucker conditions, Genetic theorem,Line search method

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/326999/