Self-learning particle swarm optimization based on environmental feedback

Second International Conference on Innovative Computing, Information and Control, ICICIC 2007

Volumn , Issue , 2007, Pages

  Cai, Xingjuan ^a   Cui, Zhihua ^a,b   Zeng, Jianchao ^a   Tan, Ying ^a  

^a TAIYUAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; FEEDBACK; LEARNING SYSTEMS; STRATEGIC PLANNING;

MUTATION OPERATORS; SCHOOLING; SELF-LEARNING STRATEGIES;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 39049117896     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICICIC.2007.512     Document Type: Conference Paper

References (6)

1. th International Symposium on Micro Machine and Human Science, 1995, pp.39-43.
2. J.C.Zeng, and Z.H.Cui, "A guaranteed global convergence particle swarm optimizer", Journal of Computer Research and Development, 8 (2004) 1333-1338. (in Chinese)
3. C.K.Monson, and K.D.Seppi, "The Kalman swarm: a new approach to particle motion in swarm optimization",Proceedings of the Genetic and Evolutionary Computation Conference,2004, pp. 140-150.
4. J.Sun et al, "Particle swarm optimization with particles having quantum behavior", Proceedings of the IEEE Congress on Evolutionary Computation, 2004, pp.325-331.
5. Z.H.Cui, and J.C.Zeng, "Dynamic adjusting modified particle swarm algorithm", Journal of System Engineering, 6 (2005) 657-660. (in Chinese)
6. A.Ratnaweera, S.K.Halgamuge, and H.C.Watson, "Self-organizing hierarchical particle swarm opitmizer with time-varying acceleration coef£icients", IEEE Transactions on Evolutionary Computation, 3 (2004) 240-255.