Leader connectivity management and flocking velocity optimization using the particle swarm optimization method

被引：9
|
作者：
Etemadi, S. [1 ]
Vatankhah, R. [2 ]
Alasty, A. [2 ]
Vossoughi, G. R. [2 ]
Boroushaki, M. [3 ]
机构：
[1] Islamic Azad Univ, Sci & Res Branch, Dept Mech & Aerosp Engn, Tehran, Iran
[2] Sharif Univ Technol, Sch Mech Engn, Ctr Excellence Design Robot & Automat CEDRA, Tehran, Iran
[3] Sharif Univ Technol, Dept Energy Engn, Tehran, Iran
来源：
SCIENTIA IRANICA | 2012年 / 19卷 / 05期
关键词：
Active leader; Connectivity management; Multi-agent system; Particle swarm optimization; Velocity optimization; AGENTS; COORDINATION; STABILITY; ALGORITHM; DESIGN;
D O I：
10.1016/j.scient.2012.06.029
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Flocking through leader following structures in mobile networks raises attractive control problems. Due to limited sensing radii, leaders locally influence a network of agents. In this paper, we consider the problem of real-time maximization of flocking velocity. By using local information and a Particle-Swarm-Optimization (PSO) algorithm, a Leader Agent (LA) actively motivates flocking at high speed. The LA manages topology of the network in its neighborhood and increases flocking velocity. PSO output quality and calculation costs show that the proposed optimization algorithm is practically feasible. A case-study is also presented. (C) 2012 Sharif University of Technology. Production and hosting by Elsevier B.V. All rights reserved.
引用
收藏
页码：1251 / 1257
页数：7
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