A Particle Swarm Optimization(PSO) Algorithm Based on Multi-Agent System

被引：1
|
作者：
Sheng Shangxiong [1 ]
机构：
[1] Lanzhou Univ Technol, Sch Mech & Elect Engn, Lanzhou 730050, Gansu, Peoples R China
来源：
INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL 2, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/ICICTA.2008.367
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a distributed PSO algorithm in the JADE platform is studied based on traditional PSO. A parallel PSO algorithm structure based on Multi-agent corporative is proposed. The structure is made tip of several compute units. Each unit is a compute agent running basic particles swarm optimization. Simulation results show that the distributed structure can enhance system running efficiency. With the principal and subordinate running mechanism, the communication step is simplified, the running efficiency is optimized and the realization speed is enhanced.
引用
收藏
页码：802 / 805
页数：4
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