In this paper, a new approach using artificial neural network and genetic algorithm for the optimization of the thermally coupled distillation is presented. Mathematical model can be constructed with artificial neura...In this paper, a new approach using artificial neural network and genetic algorithm for the optimization of the thermally coupled distillation is presented. Mathematical model can be constructed with artificial neural network based on the simulation results with ASPEN PLUS. Modified genetic algorithm was used to optimize the model. With the proposed model and optimization arithmetic, mathematical model can be calculated, decision variables and target value can be reached automatically and quickly. A practical example is used to demonstrate the algorithm.展开更多
PERM is the most efficient approach for solv- ing protein folding problem based on simple lattice model. In this article a personification explanation of PERM is pro- posed. A new version of PERM, population control a...PERM is the most efficient approach for solv- ing protein folding problem based on simple lattice model. In this article a personification explanation of PERM is pro- posed. A new version of PERM, population control algorithm with two main improvements is presented: one is that it is able to redefine the weight and its predicted value in PERM, and the other is that it is able to unify the calculation of weight when choosing possible branches. The improved PERM is more efficient than the previous version; specifi- cally it can find the known lowest energy states for the four well-known difficult instances and is generally several to hundreds times faster than PERM. It is noteworthy that with the improved PERM we found new lowest energy configura- tions of three of the four difficult problems missed in previ- ous papers.展开更多
文摘In this paper, a new approach using artificial neural network and genetic algorithm for the optimization of the thermally coupled distillation is presented. Mathematical model can be constructed with artificial neural network based on the simulation results with ASPEN PLUS. Modified genetic algorithm was used to optimize the model. With the proposed model and optimization arithmetic, mathematical model can be calculated, decision variables and target value can be reached automatically and quickly. A practical example is used to demonstrate the algorithm.
文摘PERM is the most efficient approach for solv- ing protein folding problem based on simple lattice model. In this article a personification explanation of PERM is pro- posed. A new version of PERM, population control algorithm with two main improvements is presented: one is that it is able to redefine the weight and its predicted value in PERM, and the other is that it is able to unify the calculation of weight when choosing possible branches. The improved PERM is more efficient than the previous version; specifi- cally it can find the known lowest energy states for the four well-known difficult instances and is generally several to hundreds times faster than PERM. It is noteworthy that with the improved PERM we found new lowest energy configura- tions of three of the four difficult problems missed in previ- ous papers.
