DocumentCode
3251874
Title
Tracking and optimizing dynamic systems with particle swarms
Author
Eberhart, Russell C. ; Shi, Yuhui
Author_Institution
Purdue Sch. of Eng. & Technol., Indianapolis, IN, USA
Volume
1
fYear
2001
fDate
2001
Firstpage
94
Abstract
Using particle swarms to track and optimize dynamic systems is described. Issues related to tracking and optimizing dynamic systems are briefly reviewed. Three kinds of dynamic systems are defined for the purposes of this paper. One of them is chosen for preliminary analysis using the particle swarm on the parabolic benchmark function. Successful tracking of a 10-dimensional parabolic function with a severity of up to 1.0 is demonstrated. A number of issues related to tracking and optimizing dynamic systems with particle swarms are identified. Directions for future research and applications are suggested
Keywords
evolutionary computation; dynamic systems optimization; dynamic systems tracking; evolutionary computation; parabolic benchmark function; particle swarm optimization; Embedded system; Equations; Evolutionary computation; Genetic algorithms; Helicopters; Humans; Particle swarm optimization; Particle tracking; Processor scheduling; Random number generation;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2001. Proceedings of the 2001 Congress on
Conference_Location
Seoul
Print_ISBN
0-7803-6657-3
Type
conf
DOI
10.1109/CEC.2001.934376
Filename
934376
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