In this paper a particle gradient evolutionary algorithm is presented for solving complex single-objective optimization problems based on statistical mechanics theory, the principle of gradient descending, and the law of evolving chance ascending of particles. Numerical experiments show that we can easily solve complex single-objective optimiz ation problems that are difficult to solve by using...

in thermal cracking plants, it is desired to apply an optimal temperature profile along the reactor to minimize the operation cost. in this article a simulator is developed by the use of a mathematical model, which describes the static operation of a naphtha thermal cracking pilot plant. the model is used to predict the steady state profiles of the gas temperature and product yields. using a dy...

A detailed model was developed for the emulsion copolymerization of styrene and MMA to predict the evolution of the particle size distribution (PSD) and molecular weight distribution (MWD) over the entire range of monomer conversion. A system exhibiting zero-one kinetics was employed. The model was used to optimise the emulsion copolymerization process in order to maximize particle size polydis...

n reducing high order controller des~gns, such ns arise from }{m or LQG techniques, to more practical low order ones, a re~onable objective is to preserve the controller robustness fperforlna”ce properties. In this paper, standard balanced truncation or Hanke] norm model approximation methods are applied toaugmentatimso fthec ontroller which emerge when characterizing theclas.s ofallstabilizing...

In thermal cracking plants, it is desired to apply an optimal temperature profile along the reactor to minimize the operation cost. In this article a simulator is developed by the use of a mathematical model, which describes the static operation of a naphtha thermal cracking pilot plant. The model is used to predict the steady state profiles of the gas temperature and product yields. Using ...

The Newton-type regularization CG-REGINN is an efficient tool for stably solving nonlinear ill-posed problems. In this paper a new convergence analysis for a slightly modified version of CG-REGINN is given, extending previous results by Hanke [Numer. Funct. Anal. Optimiz. 18, 971-993, 1997] and the second author [SIAM Numer. Anal. 43, 604-622, 2005]. Some numerical experiments from electrical i...

The Newton-type regularization CG-REGINN is an efficient tool for stably solving nonlinear ill-posed problems. In this paper a new convergence analysis for a slightly modified version of CG-REGINN is given, extending previous results by Hanke [Numer. Funct. Anal. Optimiz. 18, 971-993, 1997] and the second author [SIAM Numer. Anal. 43, 604-622, 2005]. Some numerical experiments from electrical i...

I n the last decade or two, central banks all over the world have been quite successful in achieving low and stable in ation. Average annual in ation in the industrialized countries has fallen below 2 percent. Average in ation has not been so low since the 1950s, as shown in Table 1. In emerging countries, in ation is now the lowest since the 1960s (International Monetary Fund, 2003b). Thes...

This paper re-examines the relationship between in ation, in ation volatility and growth using cross-country panel data for the past 30 years. With regard to the level of in ation, we nd that in contrast to current ndings which are based on cross-sectional time-average regression comparisons, exploiting the time dimension of the data reveals a strong negative correlation between in ation and in...