메뉴 건너뛰기




Volumn 38, Issue 12, 2010, Pages 2875-2880

The Markov model of shuffled frog leaping algorithm and its convergence analysis

Author keywords

Global convergence; Intelligent optimization; Markov chain; Shuffled frog leaping algorithm

Indexed keywords

CONVERGENCE ANALYSIS; GLOBAL CONVERGENCE; INTELLIGENT OPTIMIZATION; MARKOV CHAIN; MARKOV CHAIN MODELS; MARKOV MODEL; MEMEPLEX; OPTIMAL STATE; RANDOM SEARCH ALGORITHM; SHUFFLED FROG-LEAPING ALGORITHMS; STATE SEQUENCES; TRANSITION PROCESS;

EID: 79952476160     PISSN: 03722112     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (32)

References (16)
  • 1
    • 0026445234 scopus 로고
    • Effective and efficient global optimization for conceptual rainfall-runoff models
    • Duan Q, Sorooshian S, Gupta V. Effective and efficient global optimization for conceptual rainfall-runoff models[J]. Water Resource Research, 1992, 28(4): 1015-1031.
    • (1992) Water Resource Research , vol.28 , Issue.4 , pp. 1015-1031
    • Duan, Q.1    Sorooshian, S.2    Gupta, V.3
  • 2
    • 0038363680 scopus 로고    scopus 로고
    • Optimization of water distribution network design using the shuffled frog leaping algorithm
    • Eusuff M M, Lansey K E. Optimization of water distribution network design using the shuffled frog leaping algorithm[J]. Journal of Water Sources Planning and Management, 2003, 129(3): 210-225.
    • (2003) Journal of Water Sources Planning and Management , vol.129 , Issue.3 , pp. 210-225
    • Eusuff, M.M.1    Lansey, K.E.2
  • 3
    • 33244474874 scopus 로고    scopus 로고
    • Shuffled frog-leaping algorithm: A memetic meta-heuristic for discrete optimization
    • Eusuff M M, Lansey K E, Pasha F. Shuffled frog-leaping algorithm: a memetic meta-heuristic for discrete optimization[J]. Engineering Optimization, 2006, 38(2): 129-154.
    • (2006) Engineering Optimization , vol.38 , Issue.2 , pp. 129-154
    • Eusuff, M.M.1    Lansey, K.E.2    Pasha, F.3
  • 5
    • 54549114597 scopus 로고    scopus 로고
    • A modified shuffled frog leaping algorithm for optimal tuning of multivariable PID controllers
    • Singapore: IEEE Press
    • Huynh T H. A modified shuffled frog leaping algorithm for optimal tuning of multivariable PID controllers[A]. International Conference on Information Technology[C]. Singapore: IEEE Press, 2008. 128-134.
    • (2008) International Conference on Information Technology , pp. 128-134
    • Huynh, T.H.1
  • 6
    • 35348847056 scopus 로고    scopus 로고
    • A hybrid multi-objective shuffled frog-leaping algorithm for a mixed-model assembly line sequencing problem
    • Alireza R V. A hybrid multi-objective shuffled frog-leaping algorithm for a mixed-model assembly line sequencing problem[J]. Computers & Industrial Engineering, 2007, 53: 642-666.
    • (2007) Computers & Industrial Engineering , vol.53 , pp. 642-666
    • Alireza, R.V.1
  • 7
    • 56349114878 scopus 로고    scopus 로고
    • A web document classification method based on shuffled frog leaping algorithm
    • Jingzhou, Hubei, China: IEEE Press
    • SUN Xia, WANG Zi-qiang. A web document classification method based on shuffled frog leaping algorithm[A]. Second International Conference on Genetic and Evolutionary Computing[C]. Jingzhou, Hubei, China: IEEE Press, 2008. 205-208.
    • (2008) Second International Conference on Genetic and Evolutionary Computing , pp. 205-208
    • Sun, X.1    Wang, Z.-Q.2
  • 8
    • 68749093948 scopus 로고    scopus 로고
    • A modified shuffled frog leaping algorithm for TSP
    • Chinese source
    • LUO Xue-hui, YANG Ye, LI Xia. A modified shuffled frog leaping algorithm for TSP[J]. Journal on Communications, 2009, 30(7): 130-135. (in Chinese)
    • (2009) Journal on Communications , vol.30 , Issue.7 , pp. 130-135
    • Luo, X.-H.1    Yang, Y.2    Li, X.3
  • 9
    • 59549102424 scopus 로고    scopus 로고
    • Markovian process analyses and convergence of evolutionary programming
    • Chinese source
    • LIU Feng, LIU Gui-zhong, ZHANG Zhuo-sheng. Markovian process analyses and convergence of evolutionary programming[J]. Acta Electronica Sinica, 1998, 26(8): 76-79. (in Chinese)
    • (1998) Acta Electronica Sinica , vol.26 , Issue.8 , pp. 76-79
    • Liu, F.1    Liu, G.-Z.2    Zhang, Z.-S.3
  • 10
    • 0001939254 scopus 로고
    • Nonstationary Markov chains and convergence of the annealing algorithms
    • Gidas B. Nonstationary Markov chains and convergence of the annealing algorithms[J]. Statistics Physics, 1985, 39(12): 73-131.
    • (1985) Statistics Physics , vol.39 , Issue.12 , pp. 73-131
    • Gidas, B.1
  • 11
    • 70249109199 scopus 로고    scopus 로고
    • An almost everywhere strong convergence proof for a class of ant colony algorithms
    • Chinese source
    • SU Zhao-pin, JIANG Jian-guo, LIANG Chang-yong, ZHANG Guo-fu, XIA Na. An almost everywhere strong convergence proof for a class of ant colony algorithms[J]. Acta Electronica Sinica, 2009, 37(8): 1646-1650. (in Chinese)
    • (2009) Acta Electronica Sinica , vol.37 , Issue.8 , pp. 1646-1650
    • Su, Z.-P.1    Jiang, J.-G.2    Liang, C.-Y.3    Zhang, G.-F.4    Xia, N.5
  • 13
    • 0036464756 scopus 로고    scopus 로고
    • The particle swarm: Explosion, stability, and convergence in a multi-dimensional complex space
    • Clere M, Kennedy J. The particle swarm: Explosion, stability, and convergence in a multi-dimensional complex space[J]. IEEE Transactions on Evolutionary Computation, 2002, 16(1): 58-73.
    • (2002) IEEE Transactions on Evolutionary Computation , vol.16 , Issue.1 , pp. 58-73
    • Clere, M.1    Kennedy, J.2
  • 14
    • 79952482688 scopus 로고    scopus 로고
    • Analysis and application of particle swarm optimization
    • Chinese source. Wuhan: Huazhong University of Science and Technology
    • LI Ning. Analysis and application of particle swarm optimization[D]. Wuhan: Huazhong University of Science and Technology, 2006. (in Chinese)
    • (2006)
    • Li, N.1
  • 15
    • 31944448941 scopus 로고    scopus 로고
    • A study of particle swarm optimization particle trajectories
    • Van D B, Engelbrecht A P. A study of particle swarm optimization particle trajectories[J]. Information Sciences, 2006, 176(8): 937-971.
    • (2006) Information Sciences , vol.176 , Issue.8 , pp. 937-971
    • Van, D.B.1    Engelbrecht, A.P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.