一种带控制参数的基于排序的空间搜索算法

2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2017-11-01 DOI:10.1109/ICSESS.2017.8343008

Dan Wang, Congcong Xiong, Xiankun Zhang, Jianhua Cao, H. Xu

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引用次数: 0

摘要

本文提出了一种基于排序的空间搜索算法(RSSA)，其中控制参数对空间搜索算法的性能有重要影响。在空间搜索算子的设计中实现了排序策略。另外，代替固定的参数，三个给定的值被认为是合适的控制参数设置。为了评估RSSA的性能，我们测试了10个知名的基准函数。此外，将所提出的RSSA作为非线性数据集的最优载体。实验结果表明，RSSA具有很强的竞争力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A ranking-based space search algorithm with control parameters

In this paper, we propose a ranking-based space search algorithm (RSSA) with the aid of control parameters, which have a significant influence on the performance of the space search algorithm. Ranking strategy is realized in the design of space search operators. Also, instead of fixed parameter, three given values are considered as suitable control parameter settings. To evaluate the performance of the RSSA, 10 well-known benchmark functions are tested. Furthermore, the proposed RSSA is applied as optimal vehicle for a nonlinear data set. Experimental results show the RSSA is very competitive.

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来源期刊

2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)

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