DocumentCode :
2755020
Title :
Defining a Standard for Particle Swarm Optimization
Author :
Bratton, Daniel ; Kennedy, James
Author_Institution :
Dept. of Comput., London Univ.
fYear :
2007
fDate :
1-5 April 2007
Firstpage :
120
Lastpage :
127
Abstract :
Particle swarm optimization has become a common heuristic technique in the optimization community, with many researchers exploring the concepts, issues, and applications of the algorithm. In spite of this attention, there has as yet been no standard definition representing exactly what is involved in modern implementations of the technique. A standard is defined here which is designed to be a straightforward extension of the original algorithm while taking into account more recent developments that can be expected to improve performance on standard measures. This standard algorithm is intended for use both as a baseline for performance testing of improvements to the technique, as well as to represent PSO to the wider optimization community
Keywords :
particle swarm optimisation; testing; heuristic technique; particle swarm optimization; performance testing; Algorithm design and analysis; Biological system modeling; Birds; Educational institutions; Mathematical model; Measurement standards; Particle swarm optimization; Standards development; Statistics; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Swarm Intelligence Symposium, 2007. SIS 2007. IEEE
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0708-7
Type :
conf
DOI :
10.1109/SIS.2007.368035
Filename :
4223164
Link To Document :
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