用于RFID网络规划问题的裸骨架烟花算法

I. Strumberger, Eva Tuba, N. Bačanin, M. Beko, M. Tuba
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引用次数: 10

摘要

在本文中,我们提出了基本的烟花算法实现和调整,以解决无线射频识别(RFID)网络规划问题。裸骨架烟花算法是烟花元启发式的新简化版本。根据文献调查,这种方法在RFID网络规划问题上是没有实现的。RFID网络规划问题是一个众所周知的硬优化问题,它是RFID网络部署过程中最根本的挑战之一。我们在文献中发现的一个问题模型上测试了骨架烟花算法,并与在相同问题表述上测试的方法进行了比较分析。我们还进行了另外一组实验,其中读取器的数量被认为是算法的参数。从经验测试中获得的结果证明了解决RFID网络规划问题的裸框架烟花元启发式的鲁棒性和效率,并将这种新版本的烟花算法归类为处理np困难任务的最先进方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bare Bones Fireworks Algorithm for the RFID Network Planning Problem
In this paper we present bare bones fireworks algorithm implemented and adjusted for solving radio frequency identification (RFID) network planning problem. Bare bones fireworks algorithm is new and simplified version of the fireworks metaheuristic. This approach for the RFID network planning problem was not implemented before according to the literature survey. RFID network planning problem is a well known hard optimization problem and it poses one of the most fundamental challenges in the process of deployment of the RFID network. We tested bare bones fireworks algorithm on one problem model found in the literature and performed comparative analysis with approaches tested on the same problem formulation. We also performed additional set of experiments where the number of readers is considered as the algorithm's parameter. Results obtained from empirical tests prove the robustness and efficiency of the bare bones fireworks metaheuristic for tackling the RFID network planning problem and categorize this new version of the fireworks algorithm as state-of-the-art method for dealing with NP-hard tasks.
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