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Convergence analysis and improvements of quantum-behaved particle swarm optimization

✍ Scribed by Jun Sun; Xiaojun Wu; Vasile Palade; Wei Fang; Choi-Hong Lai; Wenbo Xu


Book ID
113662315
Publisher
Elsevier Science
Year
2012
Tongue
English
Weight
780 KB
Volume
193
Category
Article
ISSN
0020-0255

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The particle swarm optimization algorithm is analyzed using standard results from the dynamic system theory. Graphical parameter selection guidelines are derived. The exploration–exploitation tradeoff is discussed and illustrated. Examples of performance on benchmark functions superior to previously