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
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;
Conference_Titel :
Evolutionary Computation, 2001. Proceedings of the 2001 Congress on
Conference_Location :
Seoul
Print_ISBN :
0-7803-6657-3
DOI :
10.1109/CEC.2001.934376
