Article | 11-April-2018
Quadratic Lyapunov function based Algorithms (QLAs) for stochastic network optimization problems, which are cross-layer scheduling algorithms designed by Lyapunov optimization technique, have been widely used and studied. In this paper, we investigate the performance of using Lyapunov drift and perturbation in QLAs. By analyzing attraction points and utility performance of four variants of OQLA (Original QLA), we examine the rationality of OQLA for using the first-order part of an upper bound
Li Hu,
Gao Lu,
Liu Jiaqi,
Wang Shangyue
International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 3, 179–185
Article | 05-June-2013
existing network simulators replace field test during WSC design. The proposed platform reduces engineering cost and increases development efficiency. Network optimization is implemented to provide an automatic design of WSC.
Yujie Liang,
Rendong Ying,
Peilin Liu
International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 3, 1180–1199
Research Article | 21-April-2017
Radovan MADLEŇÁK,
Jozef ŠTEFUNKO
Transport Problems, Volume 10 , ISSUE 4, 35–43
Research Article | 14-February-2019
This paper is focused on area identification to find a proper location for the specific port logistic center in a certain territory by applying the particular method of operational research. Graph theory offers a useful tool for solving such problems in transportation infrastructure development. The type of the network optimization technique depends on problem definition. In the first chapter, we have explained some of the algorithms often applied for similar purposes. In this case, the focus
Jiří KOLÁŘ,
Ondrej STOPKA,
Srećko KRILE
Transport Problems, Volume 13 , ISSUE 4, 56–63