启发式方法在计算机网络优化中的应用比较

K. Lenarski, A. Kasprzak, I. Pozniak-Koszalka
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引用次数: 4

摘要

本文研究了计算机网络中数据包平均时延的最小化问题。公式化的问题是NP完全的。作者提出了一种利用启发式方法在令人满意的时间内可达到的解决方案。作者考虑了基于模拟退火、禁忌搜索和遗传方法等思想的算法。为了比较这些方法的性能,建立了实验系统。本系统是在c++和Borland builder 6.0编程环境下实现的。所创建的应用程序可以对复杂的实验进行调查,利用可视化模块和表示模块,方便地显示网络的现状和得到的结果。给出了实例研究的结果并进行了讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison of Heuristic Methods Applied to Optimization of Computer Networks
The paper concerns the minimization of the average delay of packets in the computer network. The formulated problem is NP complete. The authors proposed a solution that may be reachable in satisfying time using heuristic methods. Authors take into consideration the proposed algorithms which are based on ideas such as simulated annealing, taboo search and genetic approach. In order to compare performance of these methods the experimentation system has been made. This system was implemented in C++ and Borland builder 6.0 programming environment. The created application allows to make investigations along with the complex experiments showing the current state of network and the obtained results in convenient way by utilizing visualization module and presentation module. The results of example research are shown and discussed.
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