Research Article | OPEN ACCESS
Smart Power Evolution of Food Refrigerated based on Particle Swarm Optimization Algorithm
1Chen Zhongbin, 1Deng Fangming, 2Liu Yijian and 1Wei Baoquan
1School of Electrical and Electronic Engineering, East China JiaoTong University, Nanchang
2School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China
Advance Journal of Food Science and Technology 2016 10:667-671
Received: August 17, 2015 | Accepted: September 14, 2015 | Published: August 05, 2016
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.
Keywords:
Particle swarm optimization, power communication network, total quantity of knowledge,
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