为了能够更快捷、更高效地设计计算填料塔分布器的结构参数,对分布器的计算模型及变量进行了分析,建立了填料塔分布器计算的数学模型,引入新型智能的布谷鸟演化算法(CS算法)对计算模型进行求解计算;以一个精馏填料塔为实例,计算得到了填料塔分布器结构的参数.结果表明:使用CS算法对分布器进行设计计算是快捷高效的.
煤气化含酚废水处理的达标排放一直是限制行业发展的一个瓶颈,萃取脱酚过程容易酚含量超标,而直接影响污水处理过程,为了准确模拟研究这一萃取过程,采用实际生产中的工艺参数和实验测定的水-二异丙基醚-苯酚-对苯二酚四元液液平衡数据,用Aspen软件对该过程进行了模拟,并对模拟参数进行了回归,得到了新的工艺模型.结果表明,新模型结果与实际数据误差在0.5％之内,非常准确;将模拟应用于指导工业生产,为实际生产操作和工艺改造提供了很好的技术支持.
Cuckoo search algorithm is a novel stochastic global optimization algorithm based on swarm intelligence,with advantages of few control parameters,optimal search path and good global search capability,but it also has shortcomings of weak local search ability,slow convergence velocity and low convergence accuracy.In order to overcome these disadvantages of CS algorithm,an improved cuckoo search algorithm based on conjugate gradient is introduced.After evolved from Levy flights and elimination mechanism,the cuckoo populations decline rapidly in the mutually conjugate directions so that the convergence ability of algorithm is strengthened significantly under the condition of maintaining the strong global search capability of CS algorithm.The CGCS algorithm and CS algorithm are tested by four typical test functions.The conclusions indicate that CGCS algorithm has faster convergence velocity,higher convergence accuracy and more stable optimization results.Meanwhile CGCS algorithm has good global search capability,convergence ability and robustness,which is particularly suitable for the optimization of multimodal function and high dimension function.
