This study focuses on dynamical system identification, with the reverse modeling of a gene regulatory network as motivating application. An active learning approach is used to iteratively select the most informative experiments needed to improve the parameters and hidden variables estimates in a dynamical model given a budget for experiments. The design of experiments under these budgeted resou...

conclusions it can be concluded that the rsm is an effective method for the optimization of recombinant protein expression using synthetic genes in e. coli. results the proposed optimum fermentation condition consisted of 7.81 g l-1 glucose, od 600 nm prior induction 1.66 and induction temperature of 30.27°c. the model prediction of 0.267 g l-1 of rhifn-β and 0.961 g l-1 of acetate at the optim...

in this article, multiple-product pvrp with pickup and delivery that is used widely in goods distribution or other service companies, especially by railways, was introduced. a mathematical formulation was provided for this problem. each product had a set of vehicles which could carry the product and pickup and delivery could simultaneously occur. to solve the problem, two meta-heuristic methods...