نتایج جستجو برای: genetic network programming gnp
تعداد نتایج: 1520772 فیلتر نتایج به سال:
Purpose: In radiation therapy, gold nanoparticles (GNPs) are regarded as a promising radiosensitizer candidate. Several studies have revealed a dose enhancement by GNPs in X-ray and even proton irradiation. However, these studies have been limited to the depth direction. The dose distribution in both depth and lateral directions is crucial to evaluate the full radio sensitizing effect. The purp...
in this paper, we study the problem of integrated capacitated hub location problem and seat inventory control considering concept and techniques of revenue management. we consider an airline company maximizes its revenue by utilizing the best network topology and providing proper booking limits for all itineraries and fare classes. the transportation system arises in the form of a star/star net...
در این تحقیق، ترموپلاستیک الاستومر بر پایه پلی آمید 6 (PA6) و لاستیک آکریلونیتریل بوتادین (NBR) تقویت شده با نانو صفحات گرافن (GNP) با مخلوط کن داخلی تولید شد. تاثیر درصد GNP (0.5، 1 و 2 درصد وزنی) بر روی خواص حرارتی، مکانیکی و ریزساختار سه ترکیب درصد نانوکامپوزیت PA6/NBR (90/10، 70/30 و 50/50) مورد بررسی قرار گرفت. آزمون پراش پرتو ایکس (XRD)، گرماسنجی تفاضلی روبشی (DSC)، آنالیز دینامیکی مکانیک...
A label-free method is developed to ratiometrically determine the stoichiometry of oligonucleotides attached to the surface of gold nanoparticle (GNP) by whispering gallery mode biosensing. Utilizing this scheme, it is furthermore shown that the stoichiometric ratio of GNP attached oligonucleotide species can be controlled by varying the concentration ratio of thiolated oligonucleotides that ar...
nowadays network-on-chips is used instead of system-on-chips for better performance. this paper presents a new algorithm to find a shorter path, and shows that genetic algorithm is a potential technique for solving routing problem for mesh topology in on-chip-network.
For modeling decentralized decision-making problems with uncertain random parameters, an uncertain random multilevel programming is proposed. For some special case, an equivalent crisp mathematical programming to the established uncertain random programming is presented. A searching method by integrating uncertain random simulations, neural network and genetic algorithm is produced to search th...
this paper presents a genetic algorithm (ga) for solving a generalized model of single-item resource-constrained aggregate production planning (app) with linear cost functions. app belongs to a class of pro-duction planning problems in which there is a single production variable representing the total production of all products. we linearize a linear mixed-integer model of app subject to hiring...
although there is enough knowledge indicating on the influence of frequency content of input motion on the deformation demand of structures, state-of-the-practice seismic studies use the intensity measures such as peak ground acceleration (pga) which are not frequency dependent. the v max/a max ratio of strong ground motions can be used in seismic hazard studies as the representative of frequen...
in manufacturing industry, it has been acknowledged that tool wear prediction has an important role in higher quality of products and acceptable efficiency. being an emerging area of research in recent years, drilling tool wear is an important factor which directly affects quality parameters of machined hole such as hole centring, roundness, burr formation and finished surface. in this paper, t...
one of the main principles of the passive defense is the principle of site selection. in this paper, we propose a multiple objective nonlinear programming model that considers the principle of the site selection in terms of two qualitative and quantitative aspects. the purpose of the proposed model is selection of the place of key production facilities of a system in which not only it observes ...
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