文章基本信息

标题：Mobile adaptive crowd optimization scheme based on distance field
本地全文：下载
作者：Ya-chun Tang ; Xiao-bo Guo ; Xiang-dong Yin 等
期刊名称：EURASIP Journal on Embedded Systems
印刷版ISSN：1687-3955
电子版ISSN：1687-3963
出版年度：2016
卷号：2016
期号：1
页码：1-6
DOI：10.1186/s13639-016-0061-7
出版社：Hindawi Publishing Corporation
摘要：For complexity and efficiency of the multi-objective optimization, we proposed the mobile distance field-driven adaptive crowd optimization algorithm. In space, we modify the surface parameters based on the corresponding changes of the distance field to obtain the moving target’s moving track and moving surface. When the curve of the moving track is changed, the x axis and the y axis of the moving track are adjusted adaptively. In this paper, the moving process is divided into three processes: the target dynamic crowd control, the crowd model algorithm, and the predictive control of linear time domain based on the moving target prediction and crowd control algorithm. Then, the multi-objective optimization algorithm of moving objects is proposed by using the crowd model to predict the status and the position of the target. The experimental results show the high accuracy, low complexity, and high efficiency of the proposed optimization algorithm.
关键词：Mobile crowd;Adaptive optimization;Distance field;Multiple objects