Fireworks algorithm for RFID network planning problem

M. Tuba, N. Bačanin, M. Beko
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引用次数: 31

Abstract

This paper describes fireworks algorithm adjusted for solving multi-objective radio frequency identification (RFID) network planning problem. RFID network planning is a hard optimization problem that attracts research attention since the usage of the RFID technology expanded in many industries. Recent fireworks algorithm was successfully applied to other hard optimization problems. In our implementation of the fireworks algorithm for multi-objective RFID network planning problem we used hierarchical approach to objectives. For experimental purposes we used standard benchmark sets. A comparative analysis with other state-of-the-art metaheuristics proved that our proposed approach outperformed other algorithms. It was successful in achieving total coverage without interference with smaller number of deployed readers and less transmitted power.
烟花算法用于RFID网络规划问题
本文介绍了一种针对多目标射频识别(RFID)网络规划问题进行调整的烟花算法。随着RFID技术在各行业的广泛应用,RFID网络规划是一个备受关注的难点优化问题。最近的烟花算法成功地应用于其他困难的优化问题。在我们对多目标RFID网络规划问题的烟花算法的实现中,我们使用分层方法来实现目标。出于实验目的,我们使用标准基准集。与其他最先进的元启发式方法的比较分析证明,我们提出的方法优于其他算法。它成功地实现了全覆盖,而没有干扰较少数量的部署阅读器和较少的传输功率。
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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