基于神经网络的遗传算法优化及其应用

GENETIC OPTIMIZATION BASED ON NEURAL NETWORK IN HYDROXYLAMINE PHOSPHATE PROCESS

遗传算法是 1种模拟自然进化而提出的简单、高效的组合优化算法。研究了磷酸羟胺制备过程中羟胺反应效率的优化问题 ,该过程由于其反应动力学的固有复杂性而无法建模。表明结合神经网络理论 。

Genetic algorithm is a simple but efficient combinational optimization algorithm based on the principle of nature evolution.This paper studied the efficient optimization of hydroxylamine phosphate,which is difficult to set up precise model.It is showed that genetic algorithm is capable of handling such sort of optimization problems.