摘要
为准确估计反应动力学参数,在分析确定性优化方法与进化算法特性的基础上,提出了一种由优进策略支持的进化规划方法(EEP),它将确定性寻优的两点梯度法(TPG)引入随机的进化规划算法(EP)中。EEP将依概率调用TPG寻优操作,并相应地调整原有的随机性操作,包括简化变异操作、改进选择操作。测试结果表明EEP克服了TPG与EP的缺点,发扬了二者的优点,具有良好的全局寻优性能。将EEP方法成功地应用于2-氯苯酚在超临界水中氧化反应动力学参数的估计,效果良好,与其它方法相比,结果有所改进,显示出EEP方法的优越性。
In order to accurately estimate kinetic parameters, a new method, named as eugenic evolution programming (EEP), was proposed. Based on the feature analyses of deterministic algorithms and evolution algorithms, the new method EEP integrates two-point gradients method and evolution programming. In the evolutionary process of individuals, two-point gradients method is called at probability for local searching. Furthermore the evolution operations are adjusted for global searching, including simplification of mutation operator and improvement of selection operator. Results of test case study show that eugenic evolution programming has good performance in finding out the exact global optimum. It displays the merits of evolution programming and two-point gradients method, and avoids their demerits. Finally, eugenic evolution programming was successfully applied to estimate the kinetic parameters of 2-chloropheol oxidation in supercritical water. The results were better than that in reference and the advantage of the new method for parameters estimation was demonstrated.
出处
《高校化学工程学报》
EI
CAS
CSCD
北大核心
2004年第5期638-642,共5页
Journal of Chemical Engineering of Chinese Universities
基金
国家自然科学基金资助项目(20076041)。
