A teaching-learning-based optimization (TLBO) algorithm is a new population-based algorithm applied in some applications in the literature successfully. Moreover, a genetic algorithm (GA) is a popular tool employed widely in many disciplines of engineering. In this paper, a hybrid GA-TLBO algorithm is proposed for the capacitated three-stage supply chain network design (SCND) problem. The SCND ...

We give details of the factorization of RSA-704 with CADO-NFS. This is a record computation with publicly available software tools. The aim of this experiment was to stress CADO-NFS — which was originally designed for 512-bit factorizations — for larger inputs, and to identify possible rooms of improvement. We report on the factorization of RSA-704 (212 decimal digits), which is the 2nd largest...

fiber reinforced concrete (frc) has been widely used due to its advantages over plain concrete such as high energy absorption, post cracking behaviour, flexural and impact strength and arresting shrinkage cracks. but there is a weak zone between fibers and paste in fiber reinforced concretes and this weak zone is full of porosity, especially in hybrid fiber reinforced concretes. so it is necess...

statement of problem: ceramics as in ceramo-metallic and all ceramic tooth restorations have grown popular owing to their high tissue compatibility and esthetic advantages. such restorations have the capability to deliver valuable services over a long period of time; however, failures under intraoral conditions are not unanticipated. purpose: the purpose of this in-vitro study was to investigat...

Computational intelligence approaches have gradually established themselves as a popular tool for forecasting the complicated financial markets. Forecasting accuracy is one of the most important features of forecasting models; hence, never has research directed at improving upon the effectiveness of time series models stopped. Nowadays, despite the numerous time series forecasting models propos...

We study the concentration of random kernel matrices around their mean. derive nonasymptotic exponential inequalities for Lipschitz kernels assuming that data points are independent draws from a class multivariate distributions on $\mathbb{R}^{d}$, including strongly log-concave under affine transformations. A feature our result is need not have identical or zero mean, which key in certain appl...