模拟退火算法在压水堆堆芯换料优化中的应用研究

Application of Simulated Annealing Algorithms in the Optimization of Pressurized Water Reactor Reloading Pattern

针对核反应堆堆芯换料优化中的具体问题,提出了新的编码解码方法,成功地应用了模拟退火算法。以先进核反应堆为例,进行了模拟退火算法优化计算,并与遗传算法的优化结果进行了比较。结果表明,模拟退火算法和遗传算法对反应堆换料优化问题同样有效。

A new coding and decoding method was presented in allusion to nuclear power plant reactor reloading optimization. Taking the advanced nuclear reactor as an example, optimization calculation had been carried out by Simulated Annealing (SA) algorithms. Comparison between the optimization results and the results by Genetic Algorithms (GA) shows that SA is as effective as the GA for this nuclear power plant reactor reloading optimization.