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He, F.M., Xu, Y.N., Wang, X.R., Xiong, M.B. and Xiong, Z.H. (2019) An Improved Ant Colony Algorithm for Solving Time-Dependent Road Network Path Planning Problem. 2019 6th International Conference on Information Science and Control Engineering (ICISCE), Shanghai, 20-22 December 2020, 126-130.

has been cited by the following article:

• TITLE: Power Line Communications Networking Method Based on Hybrid Ant Colony and Genetic Algorithm

  AUTHORS: Qianghui Xiao, Huan Jin, Xueyi Zhang

  KEYWORDS: Power Line Carrier, Communication Network, Quality of Service, Hybrid Ant Colony and Genetic Algorithm

  JOURNAL NAME: Engineering, Vol.12 No.8, August 20, 2020

  ABSTRACT: When solving the routing problem with traditional ant colony algorithm, there is scarce in initialize pheromone and a slow convergence and stagnation for the complex network topology and the time-varying characteristics of channel in power line carrier communication of low voltage distribution grid. The algorithm is easy to fall into premature and local optimization. Proposed an automatic network algorithm based on improved transmission delay and the load factor as the evaluation factors. With the requirements of QoS, a logical topology of power line communication network is established. By the experiment of MATLAB simulation, verify that the improved Dynamic hybrid ant colony genetic algorithm (DH_ACGA) algorithm has improved the communication performance, which solved the QoS routing problems of power communication to some extent.