文献类型：期刊文献

英文题名：Meta-heuristic algorithm analysis for repeater site planning with signal coverage

作者：Huang, Chao[1]; Zhang, Yueyu[2]; Wang, Shuohong[1]; Pan, Bojun[1]; Zheng, Hong[1]

机构：[1] School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China; [2] School of Science, East China University of Science and Technology, Shanghai 200237, China

年份：2012

卷号：8

期号：16

起止页码：6925

外文期刊名：Journal of Computational Information Systems

收录：EI(收录号：20123915472559)

语种：英文

外文关键词：Heuristic algorithms - Particle swarm optimization (PSO) - Genetic algorithms - Problem solving - Simulated annealing

摘要：In this paper, the coverage problem of repeaters has been investigated and an optimization-based model for the planning of repeaters has been presented. Meta-Heuristic search algorithm including Simulated Annealing (SA), Particle Swarm Optimization (PSO), and Genetic Algorithm (GA) have been applied to solve the problem, and their performances have been analyzed and compared. As a result, SA ofiered a better solution than the others in the repeater siting problem and has more eficiency. ? 2012 Binary Information Press.