Chemical Process Optimization Based on Improved Particle Swarm Algorithm

机译：基于改进粒子群算法的化工过程优化

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Optimization is an effective technique for improving the performance of chemical production process system which is a typical complex system. The model is complicated and the traditional method is difficult to optimize the object. So, an improved particle swarm optimization algorithm is used to optimize chemical process. When the population falls into local optimum, it carries out Gaussian mutation to jump out local optimum. In the iteration process, it adopts chaos mutation to make population maintain population diversity. The experiment results show that the proposed optimization scheme has better global searching ability and improve the efficiency remarkably.

机译：优化是提高化学生产过程系统性能的有效技术，该系统是典型的复杂系统。模型复杂，传统方法难以优化目标。因此，采用了改进的粒子群算法对化学过程进行优化。当种群陷入局部最优时，它会进行高斯变异以跳出局部最优。在迭代过程中，采用混沌突变使种群保持种群多样性。实验结果表明，所提出的优化方案具有更好的全局搜索能力，并显着提高了效率。

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《International Conference on Smart Grid and Electrical Automation》|2016年|82-85|共4页
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Wu Rui-Hong;
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Particle swarm optimization; Optimization; Sociology; Statistics; Algorithm design and analysis; Chemical processes; Job shop scheduling;

机译：粒子群优化;优化;社会学;统计;算法设计与分析;化学过程;作业车间调度;

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