期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2012
卷号：46
期号：2
页码：0672-0676
出版社：Journal of Theoretical and Applied
摘要：Through the method of analyzing the intrinsic relationship of the nodal point series of the path on curved surface, circle arc approach method is put forward corresponding to the shortest path to solve the curved surface problem by local tuning. Particle swarm optimization has made faster development due to its easy understanding and implement. Particle swarm algorithm has strong local search ability and can make the search process avoid falling into local optimal solution. Therefore, simulated annealing particle swarm algorithm is introduced in the path optimization in this paper. Random search algorithm is put forward to calculate the shortest path on curved surface and then the parameter space is processed. In the end of this paper, there will be an numerical simulation example being presented.
