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Volumn , Issue , 2007, Pages 142-146

An adaptive parameter control strategy for ant colony optimization

Author keywords

Ant colony optimization; Artificial fish swarm algorithm; Parameters; TSP

Indexed keywords

ADAPTIVE ALGORITHMS; ARTIFICIAL INTELLIGENCE; INTELLIGENT CONTROL; NUCLEAR PROPULSION; PARAMETER ESTIMATION; TUNING;

EID: 48349137728     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIS.2007.80     Document Type: Conference Paper
Times cited : (10)

References (12)
  • 2
    • 0031122887 scopus 로고    scopus 로고
    • Ant Colony System: A Cooperative Learning Approach to the Traveling Salesman Problem
    • april
    • M. Dorigo, and L. Maria Gambardella: Ant Colony System: A Cooperative Learning Approach to the Traveling Salesman Problem, IEEE Trans on Evolutionary Computation, Vol.1, NO.1, april 1997:53-66
    • (1997) IEEE Trans on Evolutionary Computation , vol.1 , Issue.1 , pp. 53-66
    • Dorigo, M.1    Maria Gambardella, L.2
  • 3
    • 0037118189 scopus 로고    scopus 로고
    • ACO algorithms with guaranteed convergence to the optimal solution
    • W. J. Gutjahr. ACO algorithms with guaranteed convergence to the optimal solution. Information Processing Letters. 2002, 82: 145-153
    • (2002) Information Processing Letters , vol.82 , pp. 145-153
    • Gutjahr, W.J.1
  • 5
    • 17644371667 scopus 로고    scopus 로고
    • Parametric Study for an Ant Algorithm Applied to Water Distribution System Optimization
    • A.C. Zecchin, R. S. Angus, R. M. Holger, B. N. John: Parametric Study for an Ant Algorithm Applied to Water Distribution System Optimization. IEEE Trans. Evol. Comput, vol. 9, (2005)175-191
    • (2005) IEEE Trans. Evol. Comput , vol.9 , pp. 175-191
    • Zecchin, A.C.1    Angus, R.S.2    Holger, R.M.3    John, B.N.4
  • 6
    • 36448987096 scopus 로고    scopus 로고
    • I. Watanabe, S. Matsui, Improving the Performance of ACO Algorithms by Adaptive Control of Candidate Set, Evolutionary Computation, CEC '03, 2003, 2: 1355 - 1362.
    • I. Watanabe, S. Matsui, Improving the Performance of ACO Algorithms by Adaptive Control of Candidate Set, Evolutionary Computation, CEC '03, 2003, 2: 1355 - 1362.
  • 8
    • 84974697709 scopus 로고    scopus 로고
    • M. L. Pilat, T. White, Using Genetic Algorithms to Optimize ACS-TSP, M.Dorigo et al. (Eds.):ANTS 2002, LNCS 2463, 2002: 282-287.
    • M. L. Pilat, T. White, Using Genetic Algorithms to Optimize ACS-TSP, M.Dorigo et al. (Eds.):ANTS 2002, LNCS 2463, 2002: 282-287.
  • 10
    • 0036881676 scopus 로고    scopus 로고
    • An optimizing method based on autonomous animate: Fish-swarm algorithm[J]
    • X. L. Li, Z. J. Shao, J. X. Qian. An optimizing method based on autonomous animate: fish-swarm algorithm[J]. System Engineering Theory and Practice, 2002, 11: 32-38.
    • (2002) System Engineering Theory and Practice , vol.11 , pp. 32-38
    • Li, X.L.1    Shao, Z.J.2    Qian, J.X.3
  • 12
    • 34247213842 scopus 로고    scopus 로고
    • M. F. Zhang, C. Shao, F. C. Li, Y. Gan and J. M. Sun, Evolving Neural Network Classifiers and Feature Subset Using Artificial Fish Swarm, Proceedings of the 2006 IEEE International Conference on Mechatronics and Automation June 25 - 28, 2006, Luoyang, China :1598-1602
    • M. F. Zhang, C. Shao, F. C. Li, Y. Gan and J. M. Sun, Evolving Neural Network Classifiers and Feature Subset Using Artificial Fish Swarm, Proceedings of the 2006 IEEE International Conference on Mechatronics and Automation June 25 - 28, 2006, Luoyang, China :1598-1602


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.