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Volumn 5985 PART II, Issue , 2005, Pages

An self-adaptive ant colony optimization approach for image segmentation

Author keywords

Ant colony optimization; Cluster center; Convergence; Image segmentation; Pheromone; Robustness

Indexed keywords

ALGORITHMS; COMPUTATION THEORY; FEEDBACK; OPTIMIZATION; ROBUSTNESS (CONTROL SYSTEMS);

EID: 33644506771     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.657993     Document Type: Conference Paper
Times cited : (4)

References (6)
  • 2
    • 0033084695 scopus 로고    scopus 로고
    • Ant algorithms for discrete optimization
    • M. Dorigo, G Di Caro, and L. M. Gambardella, "Ant algorithms for discrete optimization", Artificial Life, vol. 5, no. 2, pp. 137-172, 1999
    • (1999) Artificial Life , vol.5 , Issue.2 , pp. 137-172
    • Dorigo, M.1    Di Caro, G.2    Gambardella, L.M.3
  • 3
    • 33846295159 scopus 로고    scopus 로고
    • The ant colony optimization meta-heuristic: Algorithms, applications and advances
    • F. Glover and g. Kochenberger, Eds. Norwell, MA: Kluwer, International Series in Operations Research &Management Science
    • M. Dorigo and T. Stutzle, "The ant colony optimization meta-heuristic: algorithms, applications and advances" in Handbook of Meta-heuristics, F. Glover and g. Kochenberger, Eds. Norwell, MA: Kluwer, 2002, International Series in Operations Research &Management Science, vol. 57, pp.251-285
    • (2002) Handbook of Meta-heuristics , vol.57 , pp. 251-285
    • Dorigo, M.1    Stutzle, T.2
  • 4
    • 0031122887 scopus 로고    scopus 로고
    • Ant colony system: A cooperative learning approach to the traveling salesman problem
    • M.Dorigo and L.M.Gambardella, "Ant Colony System: A Cooperative Learning Approach to the Traveling Salesman Problem", IEEE Transactions on Evolutionary Computation, vol. 1, no. 1, pp. 55-66, 1997
    • (1997) IEEE Transactions on Evolutionary Computation , vol.1 , Issue.1 , pp. 55-66
    • Dorigo, M.1    Gambardella, L.M.2
  • 6
    • 4444313776 scopus 로고    scopus 로고
    • Clustering combination based on ant colony algorithm
    • YANG Yan, JIN Fan and Mohamed Kamel, "Clustering Combination Based on Ant Colony Algorithm", Journal of China Railway Society, vol. 26, no.4, pp: 64-68, 2004
    • (2004) Journal of China Railway Society , vol.26 , Issue.4 , pp. 64-68
    • Yang, Y.1    Jin, F.2    Kamel, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.