Abstract
Particle Swarm Optimization (PSO) algorithm is a new evolutionary computation technique. This article has conducted the thorough research to the PSO algorithm, analyses the algorithm principle, basic steps, application steps and parameter settings and other content. This study introduces the idea of random inertia weight and the discrete PSO algorithm is improved, which makes it easy to jump out of local optima and discrete optimization problem. The establishment of the best repair path and the best routing model of electric power communication network, the improved algorithm is applied to power communication network management in the two aspects, it can quickly find the optimal path and the routing request, prove the feasibility and effectiveness of PSO algorithm for solving the discrete problem. The establishment of the optimal route choice model, based on local search and memory unit in the algorithm, the optimal route selection program using the improved PSO algorithm simulation, the results show the effectiveness of the PSO algorithm for solving the discrete problem and potential.
Highlights
The development of electric power communication network put forward new requirements for network management, put forward a challenge to the network management in the past, a new generation of management in electric power communication network provides a new research topic (Eberhart and Kennedy, 1995)
How to build an electric power communication network can meet the requirements of the network management system development, or what principles to the various network management system, management system and the telecom management network to select the more adapt to the network management system in electric power communication network of our own, is a problem worthy of attention (Gungor and Lambert, 2006)
Circuit routing management is an important content of network management of electric power communication network which is responsible for the circuit resource management in communication network, including resources, communications network in the channel and transmission circuit, 2M circuit and the audio circuit over business resource management and choose the best route to improve the electric power communication network quality of service, network load balancing the people began to try to use a variety of methods to improve and strengthen the management of the network of the electric power communication network
Summary
The development of electric power communication network put forward new requirements for network management, put forward a challenge to the network management in the past, a new generation of management in electric power communication network provides a new research topic (Eberhart and Kennedy, 1995). The distribution of physical structure of electric power communication network and the current business needs, should be a reasonable distribution of routing, routing and transmission path selection and its service quality to meet the requirements for access to business and ensure the efficient use of network resources (Nikolaos and Theodore, 2007; Bayod-Rújula, 2009). In order to improve the efficiency of network management of electric power communication network; particle swarm optimization algorithm was used to select the best repair path and the best route to improve the Corresponding Author: Deng Fangming, School of Electrical and Electronic Engineering, East China JiaoTong University, Nanchang, China
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