The project 'Simulation and optimization of process scheme for hydrotreating crude terephthalic acid (CTA) ' jointly performed by East China University of Science and Tech-
According to customs statistics, Chinese trade imports and exports totaled US$ 1,759.32 billion from January to October this year,representing an increase of 23.5 percent over the same period last year, and nearly equ...According to customs statistics, Chinese trade imports and exports totaled US$ 1,759.32 billion from January to October this year,representing an increase of 23.5 percent over the same period last year, and nearly equal to the total amount of imports and exports from all of last year.Exports were US$ 985.84展开更多
The standard particle swarm optimization(PSO) algorithm is a novel evolutionary algorithm in which each particle studies its own previous best solution and the group's previous best solutions to optimization probl...The standard particle swarm optimization(PSO) algorithm is a novel evolutionary algorithm in which each particle studies its own previous best solution and the group's previous best solutions to optimization problems.One problem in PSO is its tendency of trapping into local optima.In this paper,a multi-swarm technique based on fast particle swarm optimization(FPSO) algorithm is proposed by introducing crossover operation.FPSO is global search algorithm which can prevent PSO from trapping into local optima in light of Cauchy mutation.Though it can get high optimizing precision,the convergence rate is not satisfactory.FMSO can not only find satisfying solutions,but also speed up the search.展开更多
文摘The project 'Simulation and optimization of process scheme for hydrotreating crude terephthalic acid (CTA) ' jointly performed by East China University of Science and Tech-
文摘According to customs statistics, Chinese trade imports and exports totaled US$ 1,759.32 billion from January to October this year,representing an increase of 23.5 percent over the same period last year, and nearly equal to the total amount of imports and exports from all of last year.Exports were US$ 985.84
基金the Huanggang Normal University,grant No.08CA009.
文摘The standard particle swarm optimization(PSO) algorithm is a novel evolutionary algorithm in which each particle studies its own previous best solution and the group's previous best solutions to optimization problems.One problem in PSO is its tendency of trapping into local optima.In this paper,a multi-swarm technique based on fast particle swarm optimization(FPSO) algorithm is proposed by introducing crossover operation.FPSO is global search algorithm which can prevent PSO from trapping into local optima in light of Cauchy mutation.Though it can get high optimizing precision,the convergence rate is not satisfactory.FMSO can not only find satisfying solutions,but also speed up the search.
