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...

Computer simulators are widely used for the study of complex systems. In many applications, there multiple available with different scientific interpretations underlying mechanism, and goal is to identify an optimal simulator based on observed physical experiments. To achieve goal, we propose a selection criterion leave-one-out cross-validation. This consists goodness-of-fit measure generalized...

In this paper we deal with a generalized multi-period mean-variance portfolio selection problem with the market parameters subject to Markov random regime switchings. We present necessary and sufficient conditions for obtaining an optimal control policy for this Markovian generalized multi-period mean-variance model, based on a recursive procedure. The analytical solution of our model provides ...