Possibilistic particle swarms for optimization

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5673, Issue , 2005, Pages 82-89

  Medasani, Swarup ^a   Owechko, Yuri ^a  

^a Hughes Aircraft Co   (United States)

Author keywords

Classifier Swarms; Evolutionary Optimization; Object Recognition; Possibilistic Clustering; Swarm Optimization

Indexed keywords

CLASSIFIER SWARMS; EVOLUTIONARY OPTIMIZATION; POSSIBILISTIC CLUSTERING; SWARM OPTIMIZATION;

ALGORITHMS; FEATURE EXTRACTION; FUNCTIONS; MATHEMATICAL MODELS; NEURAL NETWORKS; OPTIMIZATION; PARTICLES (PARTICULATE MATTER); PROBLEM SOLVING;

OBJECT RECOGNITION;

EID: 21944455156     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.588353     Document Type: Conference Paper

References (11)

1. J. Kennedy, R. C. Eberhart, and Y. Shi, Swarm Intelligence San Francisco: Morgan Kaufmann Publishers, 2001.
2. R. C. Eberhart and Y. Shi, "Particle Swarm Optimization: Developments, Applications, and Resources," 2001.
3. R. Krishnapuram and J. M. Keller. "A Possibilistic Approach to Clustering," IEEE Transactions on Fuzzy Systems, 1(2):98-110, 1993.
4. L. A. Zadeh, "Fuzzy Sets as a basis for a theory of Possibility," Fuzzy Sets and Systems, vol. 1, pp. 3-28, 1978.
5. O. Nasraoui and R. Krishnapuram, "A Novel Approach to Unsupervised Robust Clustering using Genetic Niching," 2000.
6. D. L. Swets, B. Punch, and J. Weng, Genetic Algorithms for Object Recognition in a complex scene, Proc. of Intl. Conference on Image Processing, vol. 2, Oct, pp 23-26, 1995.
7. V. Ciesielski and M. Zhang, Using Genetic Algorithms to Improve the Accuracy of Object Detection, In Proceedings of the third Pacific-Asia Knowledge Discovery and Data Mining Conference, Ning Zhong and Lizhu Zhou (Eds.), Knowledge Discovery and Data Mining ~ Research and Practical Experiences. Tsinghua University Press, page 19 - 24. Beijing, China, April 26-31, 1999.
8. R. Brits, A. P. Engelbrecht, and F. van den Bergh, "A Niching Particle Swarm Optimizer," 2002.
9. D. Beasley, D. R. Bull, and R. R. Martin, "A Sequential Niching Technique for Multimodal Function Optimization," Evolutionary Computation, 1(2), p. 101-125, 1993.
10. N. Srinivasa, S. Medasani and Y. Owechko, D. Beasley, D. R. Bull, and R. R. Martin, "A Sequential Niching Technique for Multimodal Function Optimization," Proc. of IEEE Intel. Conference on Fuzzy Sytems, FUZZIEEE-2003.
11. Y. Owechko, S. Medasani, and N. Srinivasa, "A Sequential Niching Technique for Multimodal Function Optimization," Proc. of IEEE-CVPR, 2004.