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Volumn 20, Issue 3, 2012, Pages 349-393

Quantum-behaved particle swarm optimization: Analysis of individual particle behavior and parameter selection

Author keywords

Convergence; Parameter selection; Particle swarm optimization; Probabilistic boundedness; Quantum behavior

Indexed keywords

BENCHMARK FUNCTIONS; BOUNDEDNESS; COMPREHENSIVE ANALYSIS; CONVERGENCE; EMPIRICAL STUDIES; EXPERIMENTAL ANALYSIS; INDIVIDUAL PARTICLES; OPTIMAL SOLUTIONS; OPTIMIZATION PROBLEMS; PARAMETER CONTROL; PARAMETER SELECTION; PERFORMANCE COMPARISON; PROBABILISTIC OPTIMIZATION; PROBABILITY MEASURES; QPSO ALGORITHMS; QUANTUM BEHAVIORS; QUANTUM-BEHAVED PARTICLE SWARM OPTIMIZATION; REAL-WORLD APPLICATION; SELECTION METHODS; SINGLE PARTICLE; STOCHASTIC SIMULATIONS; THEORETICAL RESULT; UPPER BOUND;

EID: 84866531129     PISSN: 10636560     EISSN: 15309304     Source Type: Journal    
DOI: 10.1162/EVCO_a_00049     Document Type: Article
Times cited : (358)

References (68)
  • 6
    • 84901421400 scopus 로고    scopus 로고
    • The swarm and the queen: Towards a deterministic and adaptive particle swarm optimization
    • Clerc, M. (1999). The swarm and the queen: Towards a deterministic and adaptive particle swarm optimization. In Proceedings of Congress on Evolutionary Computation, pp. 1951-1957.
    • (1999) Proceedings of Congress On Evolutionary Computation , pp. 1951-1957
    • Clerc, M.1
  • 7
    • 0036464756 scopus 로고    scopus 로고
    • The particle swarm-explosion, stability and convergence in a multidimensional complex space
    • Clerc, M., and Kennedy, J. (2002). The particle swarm-explosion, stability and convergence in a multidimensional complex space. IEEE Transactions on Evolutionary Computation, 6(2):58-73.
    • (2002) IEEE Transactions On Evolutionary Computation , vol.6 , Issue.2 , pp. 58-73
    • Clerc, M.1    Kennedy, J.2
  • 8
    • 40949088103 scopus 로고    scopus 로고
    • A quantum particle swarm optimizer with chaotic mutation operator
    • Coelho, L. (2008). A quantum particle swarm optimizer with chaotic mutation operator. Chaos, Solitons & Fractals, 37(5):1409-1418.
    • (2008) Chaos, Solitons & Fractals , vol.37 , Issue.5 , pp. 1409-1418
    • Coelho, L.1
  • 9
    • 71749106480 scopus 로고    scopus 로고
    • Gaussian quantum-behaved particle swarm optimization approaches forconstrained engineering design problems
    • Coelho, L. (2010). Gaussian quantum-behaved particle swarm optimization approaches forconstrained engineering design problems. Expert Systems with Applications, 37(2):1676-1683.
    • (2010) Expert Systems With Applications , vol.37 , Issue.2 , pp. 1676-1683
    • Coelho, L.1
  • 10
    • 44049103814 scopus 로고    scopus 로고
    • Global optimization of electromagnetic devices using an exponentialquantum-behaved particle swarm optimizer
    • Coelho, L., and Alotto, P. (2008). Global optimization of electromagnetic devices using an exponentialquantum-behaved particle swarm optimizer. IEEE Transactions on Magenetics, 44(6):1074-1077.
    • (2008) IEEE Transactions On Magenetics , vol.44 , Issue.6 , pp. 1074-1077
    • Coelho, L.1    Alotto, P.2
  • 11
    • 53149096142 scopus 로고    scopus 로고
    • Particle swarm approach based on quantum mechanics and harmonic oscillator potential well for economic load dispatch with valve-point effects
    • Coelho, L., and Mariani, V. (2008). Particle swarm approach based on quantum mechanics and harmonic oscillator potential well for economic load dispatch with valve-point effects. Energy Conversion and Management, 49(11):3080-3085.
    • (2008) Energy Conversion and Management , vol.49 , Issue.11 , pp. 3080-3085
    • Coelho, L.1    Mariani, V.2
  • 14
    • 0024923101 scopus 로고
    • Comparisons of treatments after an analysis of variance in ecology
    • Day, R. W., and Quinn, G. P. (1989). Comparisons of treatments after an analysis of variance in ecology. Ecological Monographs, 59:433-463.
    • (1989) Ecological Monographs , vol.59 , pp. 433-463
    • Day, R.W.1    Quinn, G.P.2
  • 15
    • 4544355067 scopus 로고    scopus 로고
    • (2nd ed.).Cambridge,UK: CambridgeUniversity Press
    • Dudley, R.M. (2003). Real analysis and probability (2nd ed.).Cambridge,UK: CambridgeUniversity Press.
    • (2003) Real Analysis and Probability
    • Dudley, R.M.1
  • 18
  • 19
    • 42449109885 scopus 로고    scopus 로고
    • Parameters estimation on-line for Lorenz system by a novel quantum-behaved particle swarm optimization
    • Gao, F. (2008). Parameters estimation on-line for Lorenz system by a novel quantum-behaved particle swarm optimization. Chinese Physics B, 17(4):1196-1201.
    • (2008) Chinese Physics B , vol.17 , Issue.4 , pp. 1196-1201
    • Gao, F.1
  • 23
    • 33846561118 scopus 로고    scopus 로고
    • Stochastic convergence analysis and parameter selection of the standard particle swarm optimization algorithm
    • Jiang, M., Luo, Y., and Yang, S. (2007). Stochastic convergence analysis and parameter selection of the standard particle swarm optimization algorithm. Information Processing Letters, 102:8-16.
    • (2007) Information Processing Letters , vol.102 , pp. 8-16
    • Jiang, M.1    Luo, Y.2    Yang, S.3
  • 26
    • 84899047533 scopus 로고    scopus 로고
    • Small worlds and mega-minds: Effects of neighborhood topology on particle swarm performance
    • Kennedy, J. (1999). Small worlds and mega-minds: Effects of neighborhood topology on particle swarm performance. In Proceedings of Congress on Evolutionary Computation, pp. 1931-1938.
    • (1999) Proceedings of Congress On Evolutionary Computation , pp. 1931-1938
    • Kennedy, J.1
  • 27
    • 84901464055 scopus 로고    scopus 로고
    • Stereotyping: Improving particle swarm performance with cluster analysis
    • Kennedy, J. (2002). Stereotyping: Improving particle swarm performance with cluster analysis. In Proceedings of Congress on Computational Intelligence, pp. 1671-1676.
    • (2002) Proceedings of Congress On Computational Intelligence , pp. 1671-1676
    • Kennedy, J.1
  • 34
    • 57649112870 scopus 로고    scopus 로고
    • Two-dimensional maximum entropy image segmentation method based on quantum-behaved particle swarm optimization algorithm
    • Lei, X., and Fu, A. (2008). Two-dimensional maximum entropy image segmentation method based on quantum-behaved particle swarm optimization algorithm. In Proceedings of the Fourth International Conference on Nature Computation, pp. 692-696.
    • (2008) Proceedings of the Fourth International Conference On Nature Computation , pp. 692-696
    • Lei, X.1    Fu, A.2
  • 35
    • 58149229596 scopus 로고    scopus 로고
    • A new QPSO based BP neural network for face detection
    • In B.-Y. Cao (Ed.), Berlin: Springer-Verlag
    • Li, S.-Y., Wang, R.-G., Hu, W.-W., and Sun, J.-Q. (2007). A new QPSO based BP neural network for face detection. In B.-Y. Cao (Ed.), Fuzzy information and engineering (pp. 355-363). Berlin: Springer-Verlag.
    • (2007) Fuzzy Information and Engineering , pp. 355-363
    • Li, S.-Y.1    Wang, R.-G.2    Hu, W.-W.3    Sun, J.-Q.4
  • 39
    • 33750125404 scopus 로고    scopus 로고
    • Quantum particle swarm optimization for electromagnetics
    • Mikki, S., and Kishk, A. (2006). Quantum particle swarm optimization for electromagnetics. IEEE Transactions on Antennas and Propagation, 54(10):2764-2775.
    • (2006) IEEE Transactions On Antennas and Propagation , vol.54 , Issue.10 , pp. 2764-2775
    • Mikki, S.1    Kishk, A.2
  • 41
    • 67349096793 scopus 로고    scopus 로고
    • Quantum behaved particle swarm optimization (QPSO) for multi-objective design optimization of composite structures
    • Omkara, S., Khandelwala, R., Ananthb, T., Naika, G.N., and Gopalakrishnana, S. (2009). Quantum behaved particle swarm optimization (QPSO) for multi-objective design optimization of composite structures. Expert Systems with Applications, 36(8):11312-11322.
    • (2009) Expert Systems With Applications , vol.36 , Issue.8 , pp. 11312-11322
    • Omkara, S.1    Khandelwala, R.2    Ananthb, T.3    Naika, G.N.4    Gopalakrishnana, S.5
  • 45
    • 33747430130 scopus 로고    scopus 로고
    • Locating and tracking multiple dynamic optima by a particle swarm model using speciation
    • Parrott, D., and Li, X. (2006). Locating and tracking multiple dynamic optima by a particle swarm model using speciation. IEEE Transactions on Evolutionary Computation, 10(4):440-458.
    • (2006) IEEE Transactions On Evolutionary Computation , vol.10 , Issue.4 , pp. 440-458
    • Parrott, D.1    Li, X.2
  • 46
    • 65749089524 scopus 로고    scopus 로고
    • Dynamics and stability of the sampling distribution of particle swarm optimizers via moment analysis
    • Article ID 761459
    • Poli, R. (2008). Dynamics and stability of the sampling distribution of particle swarm optimizers via moment analysis. Journal of Artificial Evolution and Applications, Article ID 761459.
    • (2008) Journal of Artificial Evolution and Applications
    • Poli, R.1
  • 48
    • 67349196846 scopus 로고    scopus 로고
    • MESFETDCmodel parameter extraction using quantum particle swarm optimization
    • Sabata, S., Coelho, L. S., andAbrahamc, A. (2009). MESFETDCmodel parameter extraction using quantum particle swarm optimization. Microelectronics Reliability, 49(6):660-666.
    • (2009) Microelectronics Reliability , vol.49 , Issue.6 , pp. 660-666
    • Sabata, S.1    Coelho, L.S.2    Andabrahamc, A.3
  • 49
    • 84942085623 scopus 로고    scopus 로고
    • Visualizing particle swarm optimization-Gaussian particle swarm optimization
    • Secrest, B., and Lamont, G. (2003). Visualizing particle swarm optimization-Gaussian particle swarm optimization. In Proceedings of IEEE Swarm Intelligence Symposium, pp. 198-204.
    • (2003) Proceedings of IEEE Swarm Intelligence Symposium , pp. 198-204
    • Secrest, B.1    Lamont, G.2
  • 53
    • 0004225404 scopus 로고
    • Berlin: Springer-Verlag
    • Shiryayev, A. (1984). Probability. Berlin: Springer-Verlag.
    • (1984) Probability
    • Shiryayev, A.1
  • 56
    • 77249117129 scopus 로고    scopus 로고
    • Short-term combined economic emission hydrothermal scheduling using improved quantum-behaved particle swarm optimization
    • Sun, C., and Lu, S. (2010). Short-term combined economic emission hydrothermal scheduling using improved quantum-behaved particle swarm optimization. Expert Systems with Applications, 37(6):4232-4241.
    • (2010) Expert Systems With Applications , vol.37 , Issue.6 , pp. 4232-4241
    • Sun, C.1    Lu, S.2
  • 57
    • 70349445276 scopus 로고    scopus 로고
    • Solving the economic dispatch problem with a modified quantum-behaved particle swarm optimization method
    • Sun, J., Fang, W., Wang, D., and Xu, W. (2009). Solving the economic dispatch problem with a modified quantum-behaved particle swarm optimization method. Energy Conversion and Management, 50(12):2967-2975.
    • (2009) Energy Conversion and Management , vol.50 , Issue.12 , pp. 2967-2975
    • Sun, J.1    Fang, W.2    Wang, D.3    Xu, W.4
  • 59
    • 34249089629 scopus 로고    scopus 로고
    • Using quantum-behaved particle swarm optimization algorithm to solve non-linear programming problems
    • Sun, J., Liu, J., and Xu, W. (2007). Using quantum-behaved particle swarm optimization algorithm to solve non-linear programming problems. International Journal of Computer Mathematics, 84(2):261-272.
    • (2007) International Journal of Computer Mathematics , vol.84 , Issue.2 , pp. 261-272
    • Sun, J.1    Liu, J.2    Xu, W.3
  • 63
    • 0037475094 scopus 로고    scopus 로고
    • The particle swarm optimization algorithm: Convergence analysis and parameter selection
    • Trelea, I. C. (2003). The particle swarm optimization algorithm: Convergence analysis and parameter selection. Information Processing Letters, 85(6):317-325.
    • (2003) Information Processing Letters , vol.85 , Issue.6 , pp. 317-325
    • Trelea, I.C.1
  • 66
    • 80055041002 scopus 로고    scopus 로고
    • Quantum-behaved particle swarm optimization with generalized local search operator for global optimization
    • Wang, J., and Zhou, Y. (2007). Quantum-behaved particle swarm optimization with generalized local search operator for global optimization. In Proceedings of International Conference on Intelligent Computing, pp. 344-352.
    • (2007) Proceedings of International Conference On Intelligent Computing , pp. 344-352
    • Wang, J.1    Zhou, Y.2
  • 67
    • 54449088017 scopus 로고    scopus 로고
    • An improved quantum-behaved particle swarm optimization algorithm with weighted mean best position
    • Xi, M., Sun, J., and Xu, W. (2008). An improved quantum-behaved particle swarm optimization algorithm with weighted mean best position. Applied Mathematics and Computation, 205(2):751-759.
    • (2008) Applied Mathematics and Computation , vol.205 , Issue.2 , pp. 751-759
    • Xi, M.1    Sun, J.2    Xu, W.3
  • 68
    • 71749103830 scopus 로고    scopus 로고
    • Quantum-behaved particle swarm optimization algorithm for economic load dispatch of power system
    • Zhang, Z. (2010). Quantum-behaved particle swarm optimization algorithm for economic load dispatch of power system. Expert Systems with Applications, 37(2):1800-1803.
    • (2010) Expert Systems With Applications , vol.37 , Issue.2 , pp. 1800-1803
    • Zhang, Z.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.