Research on the Optimization Problem of the Manage Resource Distribution of the Particle Swarm Neural Network.

Ji Luo; Ying Wang

In this paper, the author mainly discusses the optimization problem of the manage resource distribution of the particle swarm neural network. The particle swarm optimization (PSO) is a population-based algorithm that wasatinvented by Kennedy and Eberhart, which was inspired by the social behavior of animals such as fish schooling and bird flocking in this paper. Similar to other population-based algorithms, such as evolutionary algorithms, PSO can solve a variety of difficult optimization problems but has shown a faster convergence rate than other evolutionary algorithms on some problems. The experiment result shows that particle swarm neural network can improve the performance of manage resource distribution.

PARTICLE swarm optimization; ARTIFICIAL neural networks; MATHEMATICAL optimization

Metallurgical & Mining Industry, 2015, Issue 9, p264

2076-0507

Academic Journal