A hybrid GA-SQP optimization technique for determination of kinetic parameters of hydrogenation reactions
A hybrid GA-SQP optimization technique for determination of kinetic parameters of hydrogenation reactions
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DOI：
10.1016/j.compchemeng.2007.06.018
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发表时间：
2008-07-24
影响因子：
4.3
通讯作者：
Jalali-Farahani, Farhang
中科院分区：
文献类型：
--
作者：
Mansoornejad, Behrang;Mostoufi, Navid;Jalali-Farahani, Farhang
混合优化技术 GA-SQP 被开发出来，其中遗传算法（GA）（一种随机方法）与顺序二次规划（SQP）方法（一种确定性方法）相结合。该方法用于确定一组高度非线性氢化反应的动力学参数。催化剂失活也被考虑在内。研究了 GA 和 SQP 解决此类问题的能力。结果表明，虽然SQP速度很快，但它不能很好地解决这个问题，并且对初始点的选择非常敏感。遗传算法经过大量代后才能够解决问题。结果表明，新的 GA-SQP 混合方法能够比 GA 更快地确定最终解，同时对初始点不敏感。 (C) 2007 Elsevier Ltd. 保留所有权利。
A hybrid optimization technique, GA-SQP, is developed in which the genetic algorithm (GA) which is a stochastic method is combined with the sequential quadratic programming (SQP) method which is a deterministic method. This method was used to determine the kinetic parameters of the set of highly nonlinear hydrogenation reactions. Catalyst deactivation was also taken into account. The ability of GA and SQP in solving this type of problem was investigated. It was shown that although the SQP is fast, it is not able to solve this problem properly and is very sensitive to the choice of initial point. The GA was able to solve the problem after a large number of generations. It was shown that the new GA-SQP hybrid method is able to determine the final solution considerably faster than the GA while it is not sensitive to the initial point. (C) 2007 Elsevier Ltd. All rights reserved.