A Statistical Study on Parameter Selection of Operators in Continuous State Transition Algorithm
A Statistical Study on Parameter Selection of Operators in Continuous State Transition Algorithm
复制标题
连续状态转移算法中算子参数选择的统计研究
DOI：
10.1109/tcyb.2018.2850350
复制
发表时间：
2019-10-01
影响因子：
11.8
通讯作者：
Gui, Weihua
中科院分区：
文献类型：
--
作者：
Zhou, Xiaojun;Yang, Chunhua;Gui, Weihua
状态转移算法（STA）作为一种新的全局优化元启发式方法在过去的几年里逐渐兴起。在我们之前的研究中，连续STA变换算子的参数以周期性的方式保持不变或自减。本文考虑了连续STA中算子的最优参数选择问题。首先，对四个基准二维函数进行了统计研究，以显示这些参数如何影响STA的搜索能力。然后，根据统计研究的经验，提出了一种新的具有最优参数策略的连续STA，以加快其搜索过程。提出的STA成功地应用于20-D、30-D和50-D空间的12个基准测试。与其他元启发式方法的比较也证明了所提出方法的有效性。
The state transition algorithm (STA) has been emerging as a novel metaheuristic method for global optimization over the past few years. In our previous study, the parameter of transformation operator in continuous STA is kept constant or decreasing itself in a periodical way. In this paper, the optimal parameter selection of operators in continuous STA is taken into consideration. First, a statistical study with four benchmark 2-D functions is conducted to show how these parameters affect the search ability of the STA. Based on the experience gained from the statistical study, then, a new continuous STA with optimal parameter strategy is proposed to accelerate its search process. The proposed STA is successfully applied to 12 benchmarks with 20-D, 30-D, and 50-D space. A comparison with other metaheuristics has also demonstrated the effectiveness of the proposed method.