Two sub-swarms Particle Swarm Optimization algorithm

Lecture Notes in Computer Science

Volumn 3612, Issue PART III, 2005, Pages 515-524

  Chen, Guochu ^a   Yu, Jinshou ^a  

^a EAST CHINA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ITERATIVE METHODS; OPTIMIZATION;

ITERATION EQUATION; SUB-SWARMS; TWO SUB-SWARMS PARTICLE SWARM OPTIMIZATION ALGORITHMS (TSPSO);

ALGORITHMS;

EID: 26844489388     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11539902_63     Document Type: Conference Paper

References (8)

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2. Eberhart R C, Kennedy J: A New Optimizer Using Particle Swarm Theory. Proc. the Sixth Int. Symposium on Micro Machine and Human Science. Nagoya, Japan (1995) 39-43
3. Shi, Y, Eberhart, R C: Parameter Selection in Particle Swarm Optimization. Evolutionary Programming VII: Proceedings of The Seventh Annual Conference on Evolutionary Programming. New York (1998) 591-600
4. Eberhart R C, Shi Y: Particle Swarm Optimization: Developments, Applications and Resources. Proc. 2001 Congress on Evolutionary Computation. Seoul, South Korea (2001) 81-86.
5. James Kennedy, Russell C. Eberhart: Swarm Intelligence. Morgan Kaufmann Publishers, San Francisco, California, USA (2001)
6. Frans Van Den Bergh, Engelbrecht A P: Training Product Unit Networks Using Cooperative Particle Swarm Optimizers. Proc. of The Third Genetic and Evolutionary Computation Conference. San Francisco, USA (2001)
7. K. E. Parsopoulos, M. N. Vrahatis: Recent Approaches to Global Optimization Problems Through Particle Swarm Optimization. Natural Computing 1 (2002) 235-306
8. W Z Lu, H Y Fan, S M Lo: Application of Evolutionary Neural Network Method in Predicting Pollutant Levels in Downtown Area of Hong Kong. Neurocomputing 51 (2003) 387-400