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Volumn 129, Issue , 2014, Pages 315-333

An improved particle swarm optimizer with difference mean based perturbation

Author keywords

Aging guideline; Difference mean based perturbation; Particle swarm optimization; Swarm intelligence; Time varying parameters

Indexed keywords


EID: 84893811781     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2013.09.026     Document Type: Article
Times cited : (63)

References (82)
  • 1
    • 0029535737 scopus 로고    scopus 로고
    • Particle swarm optimization, in: Proceedings of IEEE International Conference on Neural Networks
    • J. Kennedy, R.C. Eberhart, Particle swarm optimization, in: Proceedings of IEEE International Conference on Neural Networks, vol. 4, 1995, pp. 1942-1948.
    • , vol.4 , pp. 1995
    • Kennedy, J.1    Eberhart, R.C.2
  • 3
    • 34247541511 scopus 로고    scopus 로고
    • Guest editorial
    • June (3), (special issue Particle Swarm Optimization)
    • Eberhart R.C., Shi Y. Guest editorial. IEEE Trans. Evolut. Comput. 2004, 8(June (3)):201-203. (special issue Particle Swarm Optimization).
    • (2004) IEEE Trans. Evolut. Comput. , vol.8 , pp. 201-203
    • Eberhart, R.C.1    Shi, Y.2
  • 5
    • 34047270838 scopus 로고    scopus 로고
    • International Society for Technology in Education Publications
    • Clerc M. Particle Swarm Optimization 2008, International Society for Technology in Education Publications.
    • (2008) Particle Swarm Optimization
    • Clerc, M.1
  • 7
    • 33744730797 scopus 로고    scopus 로고
    • Comprehensive learning particle swarm optimizer for global optimization of multimodal functions
    • June (3)
    • Liang J.J., Qin A.K., Suganthan P.N., Baskar S. Comprehensive learning particle swarm optimizer for global optimization of multimodal functions. IEEE Trans. Evolut. Comput. 2006, 10(June (3)):281-295.
    • (2006) IEEE Trans. Evolut. Comput. , vol.10 , pp. 281-295
    • Liang, J.J.1    Qin, A.K.2    Suganthan, P.N.3    Baskar, S.4
  • 8
    • 35448934039 scopus 로고    scopus 로고
    • A review of particle swarm optimization. Part I. background and development
    • Banks A., Vincent J., Anyakoha C. A review of particle swarm optimization. Part I. background and development. Nat. Comput. 2007, 6(4):467-484.
    • (2007) Nat. Comput. , vol.6 , Issue.4 , pp. 467-484
    • Banks, A.1    Vincent, J.2    Anyakoha, C.3
  • 9
    • 44349195551 scopus 로고    scopus 로고
    • Analysis of the publications on the applications of particle swarm optimisation
    • Poli R. Analysis of the publications on the applications of particle swarm optimisation. J. Artif. Evol. Appl. 2008, 10. 10.1155/2008/685175.
    • (2008) J. Artif. Evol. Appl. , pp. 10
    • Poli, R.1
  • 11
    • 3142768423 scopus 로고    scopus 로고
    • Self-organizing hierarchical particle optimizer with time-varying acceleration coefficients
    • June (3)
    • Ratnaweera A., Halgamuge S., Waston H. Self-organizing hierarchical particle optimizer with time-varying acceleration coefficients. IEEE Trans. Evolut. Comput. 2004, 8(June (3)):240-255.
    • (2004) IEEE Trans. Evolut. Comput. , vol.8 , pp. 240-255
    • Ratnaweera, A.1    Halgamuge, S.2    Waston, H.3
  • 12
    • 0036464756 scopus 로고    scopus 로고
    • The particle swarm-explosion, stability and convergence in a multidimensional complex space
    • February (1)
    • Clerc M., Kennedy J. The particle swarm-explosion, stability and convergence in a multidimensional complex space. IEEE Trans. Evolut. Comput. 2002, 6(February (1)):58-73.
    • (2002) IEEE Trans. Evolut. Comput. , vol.6 , pp. 58-73
    • Clerc, M.1    Kennedy, J.2
  • 13
    • 84899047533 scopus 로고    scopus 로고
    • Small worlds and mega-minds: effects of neighbourhood topology on particle swarm performance
    • J. Kennedy, Small worlds and mega-minds: effects of neighbourhood topology on particle swarm performance, in: Proceedings of Congress on Evolutionary Computation, 1999, pp. 1931-1938.
    • (1999) Proceedings of Congress on Evolutionary Computation , pp. 1931-1938
    • Kennedy, J.1
  • 16
    • 85008053623 scopus 로고    scopus 로고
    • Neighborhood topologies in fully informed and best-of-neighborhood particle swarms
    • July (4)
    • Kennedy J., Mendes R. Neighborhood topologies in fully informed and best-of-neighborhood particle swarms. IEEE Trans. Syst. Man Cybern. C Appl. Rev. 2006, 36(July (4)):515-519.
    • (2006) IEEE Trans. Syst. Man Cybern. C Appl. Rev. , vol.36 , pp. 515-519
    • Kennedy, J.1    Mendes, R.2
  • 17
    • 84862688092 scopus 로고    scopus 로고
    • A dynamic neighborhood learning based particle swarm optimizer for global numerical optimization
    • Nasir Md., Das S., Maity D., Sengupta S., Halder U., Suganthan P.N. A dynamic neighborhood learning based particle swarm optimizer for global numerical optimization. Inf. Sci. 2012, 209:16-36.
    • (2012) Inf. Sci. , vol.209 , pp. 16-36
    • Nasir, M.1    Das, S.2    Maity, D.3    Sengupta, S.4    Halder, U.5    Suganthan, P.N.6
  • 18
    • 3142697802 scopus 로고    scopus 로고
    • A cooperative approach to particle swarm optimization
    • June (3)
    • van den Bergh F., Engelbrecht A.P. A cooperative approach to particle swarm optimization. IEEE Trans. Evolut. Comput. 2004, 8(June (3)):225-239.
    • (2004) IEEE Trans. Evolut. Comput. , vol.8 , pp. 225-239
    • van den Bergh, F.1    Engelbrecht, A.P.2
  • 21
    • 36749051693 scopus 로고    scopus 로고
    • Particle swarm optimization with recombination and dynamic linkage discovery
    • December (6)
    • Chen Y.P., Peng W.C., Jian M.C. Particle swarm optimization with recombination and dynamic linkage discovery. IEEE Trans. Syst. Man Cybern. B 2007, 37(December (6)):1460-1470.
    • (2007) IEEE Trans. Syst. Man Cybern. B , vol.37 , pp. 1460-1470
    • Chen, Y.P.1    Peng, W.C.2    Jian, M.C.3
  • 22
  • 25
    • 34247594331 scopus 로고    scopus 로고
    • Particle swarm and ant colony algorithms hybridized for improving continuous optimization
    • May (1)
    • Shelokar P.S., Siarry P., Jayaraman V.K., Kulkarni B.D. Particle swarm and ant colony algorithms hybridized for improving continuous optimization. Appl. Math. Comput. 2007, 188(May (1)):129-142.
    • (2007) Appl. Math. Comput. , vol.188 , pp. 129-142
    • Shelokar, P.S.1    Siarry, P.2    Jayaraman, V.K.3    Kulkarni, B.D.4
  • 27
    • 80051969292 scopus 로고    scopus 로고
    • Problem Definitions and Evaluation Criteria for CEC 2011 Competition on Testing Evolutionary Algorithms on Real World Optimization Problems
    • Technical Report, December
    • S. Das, P.N. Suganthan, Problem Definitions and Evaluation Criteria for CEC 2011 Competition on Testing Evolutionary Algorithms on Real World Optimization Problems, Technical Report, December 2010.
    • (2010)
    • Das, S.1    Suganthan, P.N.2
  • 28
    • 0042386046 scopus 로고    scopus 로고
    • Particle swarm optimization
    • Venter G., Sobieski J.S. Particle swarm optimization. AIAA J. 2003, 41(8):1583-1589.
    • (2003) AIAA J. , vol.41 , Issue.8 , pp. 1583-1589
    • Venter, G.1    Sobieski, J.S.2
  • 32
    • 84855521482 scopus 로고    scopus 로고
    • Blade layers optimization of wind turbines using FAST and improved PSO algorithm
    • June
    • Liao C.C., Zhao X.L., Xu J.Z. Blade layers optimization of wind turbines using FAST and improved PSO algorithm. Renew. Energy 2012, 42(June):227-233.
    • (2012) Renew. Energy , vol.42 , pp. 227-233
    • Liao, C.C.1    Zhao, X.L.2    Xu, J.Z.3
  • 33
    • 74249112979 scopus 로고    scopus 로고
    • Discrete PSO algorithm based optimization of transmission lines loading in TNEP problem
    • Shayeghi H., Mahdavi M., Bagheri A. Discrete PSO algorithm based optimization of transmission lines loading in TNEP problem. Energy Convers. Manag. 2010, 51(1):112-121.
    • (2010) Energy Convers. Manag. , vol.51 , Issue.1 , pp. 112-121
    • Shayeghi, H.1    Mahdavi, M.2    Bagheri, A.3
  • 36
    • 84901470581 scopus 로고    scopus 로고
    • Multiobjective optimization using dynamic neighborhood particle swarm optimization
    • X. Hu, R.C. Eberhart, Multiobjective optimization using dynamic neighborhood particle swarm optimization, in: Proceedings of Congress on Evolutionary Computation, 2002, pp. 1677-1681.
    • (2002) Proceedings of Congress on Evolutionary Computation , pp. 1677-1681
    • Hu, X.1    Eberhart, R.C.2
  • 37
    • 3142781923 scopus 로고    scopus 로고
    • The fully informed particle swarm. simpler, maybe better
    • June (3)
    • Mendes R., Kennedy J., Neves J. The fully informed particle swarm. simpler, maybe better. IEEE Trans. Evolut. Comput. 2004, 8(June (3)):204-210.
    • (2004) IEEE Trans. Evolut. Comput. , vol.8 , pp. 204-210
    • Mendes, R.1    Kennedy, J.2    Neves, J.3
  • 38
    • 84878400479 scopus 로고    scopus 로고
    • A distance-based locally informed particle swarm model for multimodal optimization
    • Qu B.-Y., Suganthan P.N., Das S. A distance-based locally informed particle swarm model for multimodal optimization. IEEE Trans. Evolut. Comput. 2013, 8(3):387-402.
    • (2013) IEEE Trans. Evolut. Comput. , vol.8 , Issue.3 , pp. 387-402
    • Qu, B.-Y.1    Suganthan, P.N.2    Das, S.3
  • 40
    • 29144504356 scopus 로고    scopus 로고
    • A hierarchical particle swarm optimizer and its adaptive variant
    • December (6)
    • Janson S., Middendorf M. A hierarchical particle swarm optimizer and its adaptive variant. IEEE Trans. Syst. Man Cybern. Part B. Cybern. 2005, 35(December (6)):34.
    • (2005) IEEE Trans. Syst. Man Cybern. Part B. Cybern. , vol.35 , pp. 34
    • Janson, S.1    Middendorf, M.2
  • 42
    • 36749051693 scopus 로고    scopus 로고
    • Particle swarm optimization with recombination and dynamic linkage discovery
    • December (6)
    • Chen Y.P., Peng W.C., Jian M.C. Particle swarm optimization with recombination and dynamic linkage discovery. IEEE Trans. Syst. Man Cybern. B 2007, 37(December (6)):1460-1470.
    • (2007) IEEE Trans. Syst. Man Cybern. B , vol.37 , pp. 1460-1470
    • Chen, Y.P.1    Peng, W.C.2    Jian, M.C.3
  • 43
  • 44
    • 84865440115 scopus 로고    scopus 로고
    • Hybridizing differential evolution and particle swarm optimization to design powerful optimizers. a review and taxonomy
    • Xin B., Chen J., Zhang J., Fang H., Peng Z.-H. Hybridizing differential evolution and particle swarm optimization to design powerful optimizers. a review and taxonomy. IEEE Trans. Syst. Man Cybern. Part C 2012, 42(5):744-767.
    • (2012) IEEE Trans. Syst. Man Cybern. Part C , vol.42 , Issue.5 , pp. 744-767
    • Xin, B.1    Chen, J.2    Zhang, J.3    Fang, H.4    Peng, Z.-H.5
  • 45
    • 3142669892 scopus 로고    scopus 로고
    • On the computation of all global minimizers through particle swarm optimization
    • June (3)
    • Parsopoulos K.E., Vrahatis M.N. On the computation of all global minimizers through particle swarm optimization. IEEE Trans. Evolut. Comput. 2004, 8(June (3)):211-224.
    • (2004) IEEE Trans. Evolut. Comput. , vol.8 , pp. 211-224
    • Parsopoulos, K.E.1    Vrahatis, M.N.2
  • 47
    • 84901449286 scopus 로고    scopus 로고
    • Extending particle swarm optimizers with self-organized criticality
    • Honolulu, HI
    • M. Lovbjerg, T. Krink, Extending particle swarm optimizers with self-organized criticality, in: Proceedings of Congress on Evolutionary Computation, Honolulu, HI, 2002, pp. 1588-1593.
    • (2002) Proceedings of Congress on Evolutionary Computation , pp. 1588-1593
    • Lovbjerg, M.1    Krink, T.2
  • 52
    • 82455205925 scopus 로고    scopus 로고
    • Orthogonal learning particle swarm optimization
    • December (6)
    • Zhang Z.-H., Zhang J., Li Y., Shi Y. Orthogonal learning particle swarm optimization. IEEE Trans. Evolut. Comput. 2011, 15(December (6)):832-847.
    • (2011) IEEE Trans. Evolut. Comput. , vol.15 , pp. 832-847
    • Zhang, Z.-H.1    Zhang, J.2    Li, Y.3    Shi, Y.4
  • 53
    • 84855374561 scopus 로고    scopus 로고
    • Data Fitting and Uncertainty - A Practical Introduction to Weighted Least Squares and Beyond
    • Vieweg+Teubner
    • T. Strutz, Data Fitting and Uncertainty - A Practical Introduction to Weighted Least Squares and Beyond, Vieweg+Teubner, 2010.
    • (2010)
    • Strutz, T.1
  • 54
    • 84893722392 scopus 로고    scopus 로고
    • Particle Swarm Central [Online]. Available
    • Particle Swarm Central [Online]. Available: 〈 〉. http://www.particleswarm.info.
  • 55
    • 41149174625 scopus 로고    scopus 로고
    • OPSO. orthogonal particle swarm optimization and its application to task assignment problems
    • March (2)
    • Ho S.-Y., Lin H.-S., Liauh W.-H., Ho S.-J. OPSO. orthogonal particle swarm optimization and its application to task assignment problems. IEEE Trans. Syst. Man Cybern. A 2008, 38(March (2)):288-298.
    • (2008) IEEE Trans. Syst. Man Cybern. A , vol.38 , pp. 288-298
    • Ho, S.-Y.1    Lin, H.-S.2    Liauh, W.-H.3    Ho, S.-J.4
  • 56
    • 0001884644 scopus 로고
    • Individual comparisons by ranking methods
    • Wilcoxon F. Individual comparisons by ranking methods. Biometrics 1945, 1:80-83.
    • (1945) Biometrics , vol.1 , pp. 80-83
    • Wilcoxon, F.1
  • 57
    • 79960535211 scopus 로고    scopus 로고
    • A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms
    • March (1)
    • Derrac J., García S., Molina D., Herrera F. A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms. Swarm Evolut. Comput. 2011, 1(March (1)):3-18.
    • (2011) Swarm Evolut. Comput. , vol.1 , pp. 3-18
    • Derrac, J.1    García, S.2    Molina, D.3    Herrera, F.4
  • 58
    • 27144437429 scopus 로고    scopus 로고
    • Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-parameter Optimization
    • Technical Report, Nanyang Technological University, Singapore, May 2005 and KanGAL Report #2005005, IIT Kanpur, India.
    • P.N. Suganthan, N. Hansen, J.J. Liang, K. Deb, Y.-P. Chen, A. Auger, S. Tiwari, Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-parameter Optimization, Technical Report, Nanyang Technological University, Singapore, May 2005 and KanGAL Report #2005005, IIT Kanpur, India.
    • Suganthan, P.N.1    Hansen, N.2    Liang, J.J.3    Deb, K.4    Chen, Y.-P.5    Auger, A.6    Tiwari, S.7
  • 59
    • 0032685734 scopus 로고    scopus 로고
    • Evolutionary programming made faster
    • July (2)
    • Yao X., Liu Y., Lin G.M. Evolutionary programming made faster. IEEE Trans. Evolut. Comput. 1999, 3(July (2)):82-102.
    • (1999) IEEE Trans. Evolut. Comput. , vol.3 , pp. 82-102
    • Yao, X.1    Liu, Y.2    Lin, G.M.3
  • 60
    • 0035247566 scopus 로고    scopus 로고
    • An orthogonal genetic algorithm with quantization for global numerical optimization
    • February (1)
    • Leung Y.-W., Wang Y. An orthogonal genetic algorithm with quantization for global numerical optimization. IEEE Trans. Evolut. Comput. 2001, 5(February (1)):41-53.
    • (2001) IEEE Trans. Evolut. Comput. , vol.5 , pp. 41-53
    • Leung, Y.-W.1    Wang, Y.2
  • 61
    • 1642334748 scopus 로고    scopus 로고
    • Hybrid estimation of distribution algorithm for global optimization
    • Zhang Q., Sun J., Tsang E., Ford J. Hybrid estimation of distribution algorithm for global optimization. Eng. Comput. 2004, 21(1):91-107.
    • (2004) Eng. Comput. , vol.21 , Issue.1 , pp. 91-107
    • Zhang, Q.1    Sun, J.2    Tsang, E.3    Ford, J.4
  • 62
    • 0035377566 scopus 로고    scopus 로고
    • Completely derandomized self-adaptation in evolution strategies
    • Hansen N., Ostermeier A. Completely derandomized self-adaptation in evolution strategies. Evolut. Comput. 2001, 9(2):159-195.
    • (2001) Evolut. Comput. , vol.9 , Issue.2 , pp. 159-195
    • Hansen, N.1    Ostermeier, A.2
  • 63
    • 70349860273 scopus 로고    scopus 로고
    • JADE. adaptive differential evolution with optional external archive
    • October (5)
    • Zhang J.Q., Sanderson A.C. JADE. adaptive differential evolution with optional external archive. IEEE Trans. Evolut. Comput. 2009, 13(October (5)):945-958.
    • (2009) IEEE Trans. Evolut. Comput. , vol.13 , pp. 945-958
    • Zhang, J.Q.1    Sanderson, A.C.2
  • 64
    • 44349083059 scopus 로고    scopus 로고
    • Bacterial foraging optimization. Nelder-Mead hybrid algorithm for economic load dispatch
    • Panigrahi B.K., Pandi V.R. Bacterial foraging optimization. Nelder-Mead hybrid algorithm for economic load dispatch. IET Gener. Transm. Distrib. 2008, 2(4):556-565.
    • (2008) IET Gener. Transm. Distrib. , vol.2 , Issue.4 , pp. 556-565
    • Panigrahi, B.K.1    Pandi, V.R.2
  • 65
    • 70350532927 scopus 로고    scopus 로고
    • A novel coding scheme for practical economic dispatch by modified particle swarm approach
    • November (4)
    • Kuo C.C. A novel coding scheme for practical economic dispatch by modified particle swarm approach. IEEE Trans. Power Syst. 2008, 23(November (4)):1825-1835.
    • (2008) IEEE Trans. Power Syst. , vol.23 , pp. 1825-1835
    • Kuo, C.C.1
  • 66
    • 49249097262 scopus 로고    scopus 로고
    • Self-organizing hierarchical-particle swarm optimization for nonconvex economic dispatch
    • August (3)
    • Chaturvedi K.T., Pandit M., Srivastava L. Self-organizing hierarchical-particle swarm optimization for nonconvex economic dispatch. IEEE Trans. Power Syst. 2008, 23(August (3)):1079-1087.
    • (2008) IEEE Trans. Power Syst. , vol.23 , pp. 1079-1087
    • Chaturvedi, K.T.1    Pandit, M.2    Srivastava, L.3
  • 67
    • 42749084908 scopus 로고    scopus 로고
    • Adaptive particle swarm optimization approach for static and dynamic economic load dispatch
    • Panigrahi B.K., Pandi V.R., Das S. Adaptive particle swarm optimization approach for static and dynamic economic load dispatch. Energy Convers. Manag. 2008, 49(6):1407-1415.
    • (2008) Energy Convers. Manag. , vol.49 , Issue.6 , pp. 1407-1415
    • Panigrahi, B.K.1    Pandi, V.R.2    Das, S.3
  • 69
    • 0042526087 scopus 로고    scopus 로고
    • Particle swarm optimization to solving the economic dispatch considering the generator constraints
    • August (3)
    • Gaing Z.-L. Particle swarm optimization to solving the economic dispatch considering the generator constraints. IEEE Trans. Power Syst. 2003, 18(August (3)):1187-1195.
    • (2003) IEEE Trans. Power Syst. , vol.18 , pp. 1187-1195
    • Gaing, Z.-L.1
  • 70
    • 80051966360 scopus 로고    scopus 로고
    • GA with a new multi-parent crossover for solving IEEE-CEC2011 competition problems
    • New Orleans, June
    • S. Elsayed, R. Sarker, D. Essam, GA with a new multi-parent crossover for solving IEEE-CEC2011 competition problems, in: Proceedings of Congress on Evolutionary Computation, New Orleans, June 2011, pp. 1034-1040.
    • (2011) Proceedings of Congress on Evolutionary Computation , pp. 1034-1040
    • Elsayed, S.1    Sarker, R.2    Essam, D.3
  • 71
    • 80051980108 scopus 로고    scopus 로고
    • Differential evolution with multiple strategies for solving CEC 2011 real-world numerical optimization problems
    • New Orleans, June
    • S. Elsayed, R. Sarker, D. Essam, Differential evolution with multiple strategies for solving CEC 2011 real-world numerical optimization problems, in: Proceedings of Congress on Evolutionary Computation, New Orleans, June 2011, pp. 1041-1048.
    • (2011) Proceedings of Congress on Evolutionary Computation , pp. 1041-1048
    • Elsayed, S.1    Sarker, R.2    Essam, D.3
  • 72
    • 80052015040 scopus 로고    scopus 로고
    • How does the good old genetic algorithm fare at real world optimization?
    • New Orleans, June
    • A. Saha, T. Ray, How does the good old genetic algorithm fare at real world optimization?, in: Proceedings of Congress on Evolutionary Computation, New Orleans, June 2011, pp. 1049-1056.
    • (2011) Proceedings of Congress on Evolutionary Computation , pp. 1049-1056
    • Saha, A.1    Ray, T.2
  • 74
    • 80051987321 scopus 로고    scopus 로고
    • The continuous differential ant-stigmergy algorithm applied to real-world optimization problems
    • New Orleans, June
    • P. Korosec, J. Silc, The continuous differential ant-stigmergy algorithm applied to real-world optimization problems, in: Proceedings of Congress on Evolutionary Computation, New Orleans, June 2011, pp. 1327-1334.
    • (2011) Proceedings of Congress on Evolutionary Computation , pp. 1327-1334
    • Korosec, P.1    Silc, J.2
  • 75
    • 80051965410 scopus 로고    scopus 로고
    • Modified SBX and adaptive mutation for real world single objective optimization
    • New Orleans, June
    • S. Bandaru, R. Tulshyan, K. Deb, Modified SBX and adaptive mutation for real world single objective optimization, in: Proceedings of Congress on Evolutionary Computation, New Orleans, June 2011, pp. 1335-1342.
    • (2011) Proceedings of Congress on Evolutionary Computation , pp. 1335-1342
    • Bandaru, S.1    Tulshyan, R.2    Deb, K.3
  • 76
    • 80051969170 scopus 로고    scopus 로고
    • An adaptive differential evolution algorithm and its performance on real world optimization problems
    • New Orleans, June
    • Md. Asafuddoula, T. Ray, R. Sarker, An adaptive differential evolution algorithm and its performance on real world optimization problems, in: Proceedings of Congress on Evolutionary Computation, New Orleans, June 2011, pp. 1057-1062.
    • (2011) Proceedings of Congress on Evolutionary Computation , pp. 1057-1062
    • Asafuddoula, M.1    Ray, T.2    Sarker, R.3
  • 78
    • 80054982433 scopus 로고    scopus 로고
    • Quantum-behaved particle swarm optimization with Gaussian distributed local attractor point
    • December (7)
    • Sun Jun, Fang Wei, Palade Vasile, Wu Xiaojun, Xu Wenbo Quantum-behaved particle swarm optimization with Gaussian distributed local attractor point. Appl. Math. Comput. 2011, 218(1 December (7)):3763-3775.
    • (2011) Appl. Math. Comput. , vol.218 , Issue.1 , pp. 3763-3775
    • Sun, J.1    Fang, W.2    Palade, V.3    Wu, X.4    Xu, W.5
  • 79
    • 84872777232 scopus 로고    scopus 로고
    • MPSO. median-oriented particle swarm optimization
    • February (11)
    • Beheshti Zahra, Shamsuddin Siti Mariyam Hj., Hasan Shafaatunnur MPSO. median-oriented particle swarm optimization. Appl. Math. Comput. 2013, 219(1 February (11)):5817-5836.
    • (2013) Appl. Math. Comput. , vol.219 , Issue.1 , pp. 5817-5836
    • Beheshti, Z.1    Shamsuddin, S.M.H.2    Hasan, S.3
  • 80
    • 79956080797 scopus 로고    scopus 로고
    • The fitness evaluation strategy in particle swarm optimization
    • July (21)
    • Hu Jian, Wang Zhiqiang, Qiao Shaojie, Gan JianChao The fitness evaluation strategy in particle swarm optimization. Appl. Math. Comput. 2011, 217(1 July (21)):8655-8670.
    • (2011) Appl. Math. Comput. , vol.217 , Issue.1 , pp. 8655-8670
    • Hu, J.1    Wang, Z.2    Qiao, S.3    Gan, J.4
  • 81
    • 54249098204 scopus 로고    scopus 로고
    • A novel ecological particle swarm optimization algorithm and its population dynamics analysis
    • November (1)
    • Kang Qi, Wang Lei, Wu Qi-di A novel ecological particle swarm optimization algorithm and its population dynamics analysis. Appl. Math. Comput. 2008, 205(1 November (1)):61-72.
    • (2008) Appl. Math. Comput. , vol.205 , Issue.1 , pp. 61-72
    • Kang, Q.1    Wang, L.2    Wu, Q.-D.3
  • 82
    • 34249068297 scopus 로고    scopus 로고
    • Locating multiple optima using particle swarm optimization
    • June (2)
    • Brits R., Engelbrecht A.P., van den Bergh F. Locating multiple optima using particle swarm optimization. Appl. Math. Comput. 2007, 189(15 June (2)):1859-1883.
    • (2007) Appl. Math. Comput. , vol.189 , Issue.15 , pp. 1859-1883
    • Brits, R.1    Engelbrecht, A.P.2    van den Bergh, F.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.