基于改进君主蝶优化算法的RFID网络规划

I. Strumberger, Eva Tuba, N. Bačanin, M. Beko, M. Tuba
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引用次数: 9

摘要

本文提出了一种改进的帝王蝶优化算法,用于解决RFID网络规划问题。该问题是射频识别领域研究最多的难题之一,以前没有使用帝王蝶优化元启发式方法解决过。RFID系统由标签和读取器组成,读取器在一定距离上读取存储在标签中的信息。通过对基本的黑脉金斑蝶算法的测试,我们注意到在后期迭代中增强利用可以改进算法。我们在标准RFID模型和数据集上测试了我们的方法,并与其他方法进行了比较分析。实验结果表明,改进的帝王蝶优化算法可以成功地应用于RFID网络规划问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modified Monarch Butterfly Optimization Algorithm for RFID Network Planning
This paper presents an implementation of the modified monarch butterfly optimization algorithm for solving the RFID network planning problem. This problem is one of the most studied challenges in the RFID domain, and was not tackled with the monarch butterfly optimization metaheuristic before. RFID system consists of tags and readers, where readers access from certain distance the information that is stored in tags. By testing basic monarch butterfly algorithm, we noticed that the algorithm can be improved by enhancing exploitation in the late iterations. We tested our approach on the standard RFID model and data set, and conducted comparative analysis with other approaches. According to the performed experiments, we concluded that the modified monarch butterfly optimization can be successfully applied to the RFID network planning problem.
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