An evaluation of PSO-type swarm robotic search: Modeling method and controlling properties

doi:10.1109/ICNSC.2010.5461520

	An evaluation of PSO-type swarm robotic search: Modeling method and controlling properties
	Liu, Zhiqi 3,4; Xue, Songdong 1; Zeng, Jianchao 1; Zhao, Jing 2; Zhang, Guoyou 2
	2010
会议日期	April 10, 2010 - April 12, 2010
会议地点	Chicago, IL, United states
关键词	Computer aided software engineering Data communication equipment Models Particle swarm optimization (PSO) Robotics Algorithmic parameters Communication range Control architecture Experimental simulations Modeling and control Positive correlations Swarm robotics Target search
DOI	10.1109/ICNSC.2010.5461520
页码	360-365
英文摘要	To show the validity of swarm robots modeling and control properties influenced by resulting algorithmic parameter settings, particle swarm optimization (PSO) is extended to be tools for applying to swarm robotic search applications. For this end, a series of experimental simulations are conducted and the effects of key algorithmic parameters, i.e., communication range, detection radius, and swarm size emerge from the statistical results. In such control architecture, swarm robots are modeled at an abstract level with the extended PSO and each individual is assumed to be controlled under three-state finite state machine mechanism. Simulation results indicate the validity of modeling method. Besides, significant positive correlations between search efficiency and communication range, detection radius as well as swarm size are also found. ©2010 IEEE.
会议录	2010 International Conference on Networking, Sensing and Control, ICNSC 2010
会议录出版者	IEEE Computer Society
语种	英语
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/116798]
专题	能源与动力工程学院
作者单位	1.Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technology, Taiyuan, Shanxi 030024, China; 2.College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, Gansu 730050, China 3.Mechanical and Electronic Engineering College, Taiyuan University of Science and Technology, Taiyuan, Shanxi 030024, China; 4.State Key Lab. of Gansu Advanced Non-Ferrous Metal Materials, Lanzhou University of Technology, Lanzhou, Gansu 730050, China;
推荐引用方式 GB/T 7714	Liu, Zhiqi,Xue, Songdong,Zeng, Jianchao,et al. An evaluation of PSO-type swarm robotic search: Modeling method and controlling properties[C]. 见:. Chicago, IL, United states. April 10, 2010 - April 12, 2010.