犀牛搜索算法

2016 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI) Pub Date : 2016-11-01 DOI:10.1109/ISCMI.2016.16

Zhonghuan Tian, S. Fong, Rui Tang, S. Deb, R. Wong

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引用次数: 4

摘要

本文提出了一种受犀牛自然行为启发的元启发式搜索算法，即犀牛搜索算法(rhinoceros search algorithm, RSA)。与我们早期的版本大象搜索算法类似，RSA简化了某些习惯特征，并将搜索操作流程化，从而减少了配置模型所需的操作参数的数量。通过计算机仿真，表明RSA能够优于某些经典的元启发式算法。对不同维数的优化问题进行了测试，得到了较好的结果。

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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Rhinoceros Search Algorithm

In this paper, a novel metaheuristic search algorithm inspired by rhinoceros' natural behaviour is proposed, namely Rhinoceros Search Algorithm (RSA). Similar to our earlier version called Elephant Search Algorithm, RSA simplifies certain habitual characteristics and stream line the search operations, thereby reducing the number of operational parameters required to configure the model. Via computer simulation, it is shown that RSA is able to outperform certain classical metaheuristic algorithms. Different dimensions of optimization problems are tested, and good results are observed by RSA.

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来源期刊

2016 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI)

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