遗传算法在AC-600堆芯换料优化中的应用研究

AC-600 Reactor Reloading Pattern Optimization by Using Genetic Algorithms

对遗传算法在核电厂堆芯换料优化问题中的应用进行了初步研究 ,提出了新的编码和译码方法。并以AC 6 0 0反应堆为例 ,分别对低泄漏和外 内布置进行了功率峰因子最小和寿期最长的优化方案计算 ,得到了满意的优化结果。

The use of genetic algorithms to optimize reloading pattern of the nuclear power plant reactor is proposed. And a new encoding and translating method is given. Optimization results of minimizing core power peak and maximizing cycle length for both low-leakage and out-in loading pattern of AC 600 reactor are obtained.