摘要
复杂动力学模型的参数优化问题常常带来物理解无意义、选取初值困难和目标函数不知为何状等问题 ,目的就是要经过算法比较实验为化学反应动力学参数估算选择一种合适的算法 ,结果表明遗传算法适用于解决动力学模型参数估算这样的解空间未知的复杂问题 ,且其优化性能好于其他传统算法。
Optimization problem of complex dynamic model parameters always results in meaningless physical solution,and is hard to choose the initial value and to know the target function state,etc.The purpose of the paper is to select a proper algorithm for chemical reaction by comparison of algorithm experiment.The result shows that the genetic algorithm is adaptable to solve the complex spatial unknown problem in dynamic model parameters assessment solution,and the optimal performances is better than other conventional algorithm.
出处
《电脑开发与应用》
2002年第11期4-5,8,共3页
Computer Development & Applications
基金
忻州师范学院科研基金资助
中科院煤化所煤转化国家重点实验室资助
关键词
算法
遗传算法
比较实验
单峰函数
计算机
genetic algorithm,comparison experiment,simulation annealing,algorithm improvement,unimodel function
