نتایج جستجو برای: objective non

تعداد نتایج: 1794034  

پایان نامه :دانشگاه آزاد اسلامی - دانشگاه آزاد اسلامی واحد یزد - دانشکده برق و الکترونیک 1393

تعیین رژیم حرارتی مطلوب و همچنین درصد وزنی بهینه برای ترکیب مواد شیمیایی جهت رسیدن به خلوص بالا و همچنین خواص مکانیکی مورد نظر برای آلیاژ فولاد همیشه یک مسئله مهم و چالش برانگیز، برای صنعت فولاد بوده است. در حال حاضر تعیین این ضرایب از روی تجربه و اطلاعات حاصله از سیستم صورت می پذیرد. قصد ما از بیان این مطلب، معرفی روشهای هوشمند جهت یافتن بهترین ضرایب برای تولید بهینه فولادهای آلیاژی می باشد. ...

Trip distribution deals with estimation of trips distributed among origins and destinations and is one of the important stages in transportation planning. Since in the real world, trip distribution models often have more than one objective, multi-objective models are developed to cope with a set of conflict goals in this area. In a proposed method of adapted non-dominated sorting algorithm (ANS...

پایان نامه :0 1392

nowadays in trade and economic issues, prediction is proposed as the most important branch of science. existence of effective variables, caused various sectors of the economic and business executives to prefer having mechanisms which can be used in their decisions. in recent years, several advances have led to various challenges in the science of forecasting. economical managers in various fi...

In this paper‎, ‎we introduce and study some new single-valued gap functions for non-differentiable semi-infinite multiobjective optimization problems with locally Lipschitz data‎. ‎Since one of the fundamental properties of gap function for optimization problems is its abilities in characterizing the solutions of the problem in question‎, ‎then the essential properties of the newly introduced ...

Journal: :International Journal of Interactive Multimedia and Artificial Intelligence 2020

Journal: :IFAC-PapersOnLine 2022

While trade-offs between modeling effort and model accuracy remain a major concern with system identification, resorting to data-driven methods often leads complete disregard for physical plausibility. To address this issue, we propose physics-guided hybrid approach non-autonomous systems under control. Starting from traditional physics-based model, is extended by recurrent neural network train...

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