基于换料优化基准问题的特征统计算法研究

摘要

The Characteristic Statistic Algorithm (CSA), which was proposed in the literature, is studied by use of the PWR LP search benchmark problem. Results demonstrated that the algorithm is capable of finding solutions that are close to the global optimum at quite low computational costs. The mechanism of the optimum searching process is also illustrated by use of the benchmark problem.%利用压水堆换料优化基准问题,对文献提出的特征统计算法进行了研究,结果表明,特征统计算法可以比较高效地搜索到接近全局最优的解.此外,论文还利用基准题对特征统计算法的优化搜索机理进行了直观的演示.