the integration of an approximate model and a clonal selection algorithm (csa) is considered to one of the most effective ways to solve complex optimization design problems in engineering. in this study, first, a process for developing an approximate model and the principles of clonal selection algorithms were presented. then, a variotherm temperature injection mold used to produce a large liqu...

Welch & Peers (1963) used a root-information prior to obtain posterior probabilities for a scalar parameter exponential model and showed that these Bayes probabilities had the confidence property to second order asymptotically. An important undercurrent of this indicates that the constant information reparameterization provides location model structure, for which the confidence property ...

Abstract The problem of model counting, also known as $$\#\textsf{SAT}$$ # SAT , is to compute the number models or satisfying assignments a given Boolean formula F . Model counting fundamental in computer science with wide range applications. In recent years, there has...

animal models are used to model the observations of animal performance that are genetically dependent.these models are considered as generalized linear mixed models and the genetic correlation structure of data is considered through random effects of breeding values. one goal of the mentioned models is to estimate variance components. in this research, an approximate bayesian approach presented...

in this paper, we present a fractional mathematical model of a one-dimensional phase phase change problem (stefan problem) with latent heat a power function of position. this model includes space-time fractional derivatives in caputo sense and time dependent surface heat flux. an approximate solution of this model is obtained by optimal homotopy asymptotic method (oham) to find an approximate s...