One-Stage Uncertain Linear optimization
عنوان مقاله: One-Stage Uncertain Linear optimization
شناسه ملی مقاله: CSCG02_104
منتشر شده در دومین کنفرانس ملی محاسبات نرم در سال 1396
شناسه ملی مقاله: CSCG02_104
منتشر شده در دومین کنفرانس ملی محاسبات نرم در سال 1396
مشخصات نویسندگان مقاله:
Zeinab Zarea - Azarbaijan Shahid Madani University, Tabriz, Iran
Alireza Ghaffari-Hadigheh - Azarbaijan Shahid Madani University, Tabriz, Iran
خلاصه مقاله:
Zeinab Zarea - Azarbaijan Shahid Madani University, Tabriz, Iran
Alireza Ghaffari-Hadigheh - Azarbaijan Shahid Madani University, Tabriz, Iran
Uncertainty is one of the intrinsic features of natural phenomenon and optimization is not an exception. Parameters in an optimization problem may be inaccurately presented, or due to variation after solving the problem, the current optimal solution is not optimal or feasible for the new data. One of the approaches towards the uncertainty is the Uncertainty theory initiated by Liu in 2007and completed in 2011. This theory describes the uncertainty originated from human reasoning in mathematical axiomatic words. In this paper, we consider one-stage uncertain linear optimization problem, where the parameters are linearly dependent on several independent uncertain variables. A solution method is presented which is similar to the branch and bound method for the integer linear optimization. The presented methodology is explained by simple illustrative examples
کلمات کلیدی: Uncertainty Theory, One-stage uncertain optimization problem, Linear Optimization
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/696733/