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Volumn 234, Issue , 2014, Pages 452-459

A self-adaptive chaotic differential evolution algorithm using gamma distribution for unconstrained global optimization

Author keywords

Chaotic sequence; Differential evolution algorithm; Evolutionary algorithms; Global optimization

Indexed keywords

GLOBAL OPTIMIZATION; OPTIMIZATION; PROBABILITY DISTRIBUTIONS;

EID: 84896525426     PISSN: 00963003     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.amc.2014.01.159     Document Type: Article
Times cited : (64)

References (57)
  • 1
    • 67349155902 scopus 로고    scopus 로고
    • A real coded genetic algorithm for solving integer and mixed integer optimization problems
    • K. Deep, K.P. Singh, M.L. Kansal, and C. Mohan A real coded genetic algorithm for solving integer and mixed integer optimization problems Appl. Math. Comput. 212 2 2009 505 518
    • (2009) Appl. Math. Comput. , vol.212 , Issue.2 , pp. 505-518
    • Deep, K.1    Singh, K.P.2    Kansal, M.L.3    Mohan, C.4
  • 2
    • 51549103261 scopus 로고    scopus 로고
    • Modifications of real code genetic algorithm for global optimization
    • I.G. Tsoulos Modifications of real code genetic algorithm for global optimization Appl. Math. Comput. 203 2 2008 598 607
    • (2008) Appl. Math. Comput. , vol.203 , Issue.2 , pp. 598-607
    • Tsoulos, I.G.1
  • 3
    • 84655175807 scopus 로고    scopus 로고
    • Apply a novel evolutionary algorithm to the solution of parameter selection problems
    • D.-Y. Sun, S.-C. Ni, and T.-C. Huang Apply a novel evolutionary algorithm to the solution of parameter selection problems Appl. Math. Comput. 216 11 2010 3343 3354
    • (2010) Appl. Math. Comput. , vol.216 , Issue.11 , pp. 3343-3354
    • Sun, D.-Y.1    Ni, S.-C.2    Huang, T.-C.3
  • 4
    • 79952362137 scopus 로고    scopus 로고
    • Hybrid evolutionary algorithms in a SVR traffic flow forecasting model
    • W.-C. Hong, Y. Dong, F. Zheng, and S.Y. Wei Hybrid evolutionary algorithms in a SVR traffic flow forecasting model Appl. Math. Comput. 217 15 2011 6733 6747
    • (2011) Appl. Math. Comput. , vol.217 , Issue.15 , pp. 6733-6747
    • Hong, W.-C.1    Dong, Y.2    Zheng, F.3    Wei, S.Y.4
  • 5
    • 36749064932 scopus 로고    scopus 로고
    • Using genetic algorithms grey theory to forecast high technology industrial output
    • C.-H. Wang, and L.-C. Hsu Using genetic algorithms grey theory to forecast high technology industrial output Appl. Math. Comput. 195 1 2008 256 263
    • (2008) Appl. Math. Comput. , vol.195 , Issue.1 , pp. 256-263
    • Wang, C.-H.1    Hsu, L.-C.2
  • 6
    • 50249125326 scopus 로고    scopus 로고
    • Quadratic approximation based hybrid genetic algorithm for function optimization
    • K. Deep, and K.N. Das Quadratic approximation based hybrid genetic algorithm for function optimization Appl. Math. Comput. 203 1 2008 86 98
    • (2008) Appl. Math. Comput. , vol.203 , Issue.1 , pp. 86-98
    • Deep, K.1    Das, K.N.2
  • 7
    • 77949487354 scopus 로고    scopus 로고
    • Reliability stochastic optimization for a series system with interval component reliability via genetic algorithm
    • A.K. Bhunia, L. Sahoo, and D. Roy Reliability stochastic optimization for a series system with interval component reliability via genetic algorithm Appl. Math. Comput. 216 3 2010 929 939
    • (2010) Appl. Math. Comput. , vol.216 , Issue.3 , pp. 929-939
    • Bhunia, A.K.1    Sahoo, L.2    Roy, D.3
  • 8
    • 84860495304 scopus 로고    scopus 로고
    • The role of different genetic operators in the optimization of magnetic models
    • T.M. Gwizdałła The role of different genetic operators in the optimization of magnetic models Appl. Math. Comput. 218 18 2012 9220 9233
    • (2012) Appl. Math. Comput. , vol.218 , Issue.18 , pp. 9220-9233
    • Gwizdałła, T.M.1
  • 10
    • 0142000477 scopus 로고    scopus 로고
    • Differential evolution a simple and efficient heuristic for global optimization over continuous spaces
    • R. Storn, and K. Price Differential evolution a simple and efficient heuristic for global optimization over continuous spaces J. Global Optim. 11 4 1997 341 359
    • (1997) J. Global Optim. , vol.11 , Issue.4 , pp. 341-359
    • Storn, R.1    Price, K.2
  • 11
    • 77949264174 scopus 로고    scopus 로고
    • New mutation schemes for differential evolution algorithm and their application to the optimization of directional over-current relay settings
    • R. Thangaraj, M. Pant, and A. Abraham New mutation schemes for differential evolution algorithm and their application to the optimization of directional over-current relay settings Appl. Math. Comput. 216 2 2010 532 544
    • (2010) Appl. Math. Comput. , vol.216 , Issue.2 , pp. 532-544
    • Thangaraj, R.1    Pant, M.2    Abraham, A.3
  • 12
    • 54249161374 scopus 로고    scopus 로고
    • On the use of differential evolution for forward kinematics of parallel manipulators
    • X.-S. Wang, M.-L. Hao, and Y.-H. Cheng On the use of differential evolution for forward kinematics of parallel manipulators Appl. Math. Comput. 205 2 2008 760 769
    • (2008) Appl. Math. Comput. , vol.205 , Issue.2 , pp. 760-769
    • Wang, X.-S.1    Hao, M.-L.2    Cheng, Y.-H.3
  • 13
    • 33947204468 scopus 로고    scopus 로고
    • Improved differential evolution algorithms for handling economic dispatch optimization with generator constraints
    • L.S. Coelho, and V.C. Mariani Improved differential evolution algorithms for handling economic dispatch optimization with generator constraints Energy Convers. Manage. 48 5 2007 1631 1639
    • (2007) Energy Convers. Manage. , vol.48 , Issue.5 , pp. 1631-1639
    • Coelho, L.S.1    Mariani, V.C.2
  • 14
    • 34249984933 scopus 로고    scopus 로고
    • Empirical analysis of self-adaptive differential evolution
    • A. Salman, A.P. Engelbrecht, and M.G.H. Omran Empirical analysis of self-adaptive differential evolution Eur. J. Oper. Res. 183 2 2007 785 804
    • (2007) Eur. J. Oper. Res. , vol.183 , Issue.2 , pp. 785-804
    • Salman, A.1    Engelbrecht, A.P.2    Omran, M.G.H.3
  • 15
    • 40249090398 scopus 로고    scopus 로고
    • Accelerating differential evolution using an adaptive local search
    • N. Noman, and H. Iba Accelerating differential evolution using an adaptive local search IEEE Trans. Evol. Comput. 12 1 2008 107 125
    • (2008) IEEE Trans. Evol. Comput. , vol.12 , Issue.1 , pp. 107-125
    • Noman, N.1    Iba, H.2
  • 16
    • 4344714817 scopus 로고    scopus 로고
    • A comparative study of differential evolution, particle swarm optimization and evolutionary algorithms on numerical benchmark problems
    • Piscataway, NJ, USA
    • J. Vesterström, R. Thomsen, A comparative study of differential evolution, particle swarm optimization and evolutionary algorithms on numerical benchmark problems, in: Proceedings of the 6th Congress on Evolutionary Computation (CEC-2004), vol. 2, Piscataway, NJ, USA, 2004, 1980-1987.
    • (2004) Proceedings of the 6th Congress on Evolutionary Computation (CEC-2004) , vol.2 , pp. 1980-1987
    • Vesterström, J.1
  • 20
    • 12344258885 scopus 로고    scopus 로고
    • Differential evolution - An easy and efficient evolutionary algorithm for model optimisation
    • D.G. Mayer, B.P. Kinghorn, and A.A. Archer Differential evolution - An easy and efficient evolutionary algorithm for model optimisation Agric. Syst. 83 3 2005 315 328
    • (2005) Agric. Syst. , vol.83 , Issue.3 , pp. 315-328
    • Mayer, D.G.1    Kinghorn, B.P.2    Archer, A.A.3
  • 24
    • 33645822323 scopus 로고    scopus 로고
    • Exploring dynamic self-adaptive populations in differential evolution, soft computing - A fusion of foundations
    • S. Teo Exploring dynamic self-adaptive populations in differential evolution, soft computing - A fusion of foundations Meth. Appl. 10 8 2006 673 686
    • (2006) Meth. Appl. , vol.10 , Issue.8 , pp. 673-686
    • Teo, S.1
  • 26
    • 27144475732 scopus 로고    scopus 로고
    • Self-adaptive differential evolution algorithm for numerical optimization
    • Edinburgh, Scotland
    • A. K. Qin, P. N. Suganthan, Self-adaptive differential evolution algorithm for numerical optimization, in: Proceedings of IEEE Congress on Evolutionary Computation, Edinburgh, Scotland, 2005, 1785-1791.
    • (2005) Proceedings of IEEE Congress on Evolutionary Computation , pp. 1785-1791
    • Qin, A.K.1    Suganthan, P.N.2
  • 27
    • 11344274492 scopus 로고    scopus 로고
    • DE/EDA: A new evolutionary algorithm for global optimization
    • J. Sun, Q. Zhang, and E.P. Tsang DE/EDA: a new evolutionary algorithm for global optimization Inf. Sci. 169 3-4 2005 249 262
    • (2005) Inf. Sci. , vol.169 , Issue.34 , pp. 249-262
    • Sun, J.1    Zhang, Q.2    Tsang, E.P.3
  • 28
    • 20444409462 scopus 로고    scopus 로고
    • A fuzzy adaptive differential evolution algorithm, soft computing - A fusion of foundations
    • J. Liu, and J. Lampinen A fuzzy adaptive differential evolution algorithm, soft computing - A fusion of foundations Meth. Appl. 9 6 2005 448 462
    • (2005) Meth. Appl. , vol.9 , Issue.6 , pp. 448-462
    • Liu, J.1    Lampinen, J.2
  • 29
    • 33847199831 scopus 로고    scopus 로고
    • Self-Adapting control parameters in differential evolution: A comparative study on numerical benchmark problems
    • J. Brest, S. Greiner, B. Boskovic, M. Mernik, and V. Zumer Self-Adapting control parameters in differential evolution: a comparative study on numerical benchmark problems IEEE Trans. Evol. Comput. 10 6 2006 646 657
    • (2006) IEEE Trans. Evol. Comput. , vol.10 , Issue.6 , pp. 646-657
    • Brest, J.1    Greiner, S.2    Boskovic, B.3    Mernik, M.4    Zumer, V.5
  • 31
    • 27144474894 scopus 로고    scopus 로고
    • Real-parameter optimization with differential evolution
    • Edinburgh, Scotland
    • J. Rönkkönen, S. Kukkonen, K. V. Price, Real-parameter optimization with differential evolution, in: Proceedings of the IEEE Congress on Evolutionary Computation, Edinburgh, Scotland, 2005, 506-513.
    • (2005) Proceedings of the IEEE Congress on Evolutionary Computation , pp. 506-513
    • Rönkkönen, J.1
  • 32
    • 84901428622 scopus 로고    scopus 로고
    • The self-adaptive Pareto differential evolution algorithm
    • Honolulu, HI, USA
    • H. A. Abbass, The self-adaptive Pareto differential evolution algorithm, in: Proceedings of the Congress on Evolutionary Computation, Honolulu, HI, USA, 2002, 831-836.
    • (2002) Proceedings of the Congress on Evolutionary Computation , pp. 831-836
    • Abbass, H.A.1
  • 33
    • 1842832743 scopus 로고    scopus 로고
    • Population set based global optimization algorithms: Some modifications and numerical studies
    • M.M. Ali, and A. Törn Population set based global optimization algorithms: some modifications and numerical studies Comput. Oper. Res. 31 10 2004 1703 1725
    • (2004) Comput. Oper. Res. , vol.31 , Issue.10 , pp. 1703-1725
    • Ali, M.M.1    Törn, A.2
  • 34
    • 27144498157 scopus 로고    scopus 로고
    • A numerical study of some modified differential evolution algorithm
    • P. Kaelo, and M.M. Ali A numerical study of some modified differential evolution algorithm Eur. J. Oper. Res. 169 3 2006 1176 1184
    • (2006) Eur. J. Oper. Res. , vol.169 , Issue.3 , pp. 1176-1184
    • Kaelo, P.1    Ali, M.M.2
  • 35
    • 0032094334 scopus 로고    scopus 로고
    • Optimizing complex functions by chaos search
    • B. Li, and W. Jiang Optimizing complex functions by chaos search Cybern. Syst. 29 4 1998 409 419
    • (1998) Cybern. Syst. , vol.29 , Issue.4 , pp. 409-419
    • Li, B.1    Jiang, W.2
  • 36
    • 32344433882 scopus 로고    scopus 로고
    • PID controller parameters optimization of hydro-turbine governing systems using deterministic-chaotic-mutation evolutionary programming (DCMEP)
    • C. Jiang, Y. Ma, and C. Wang PID controller parameters optimization of hydro-turbine governing systems using deterministic-chaotic-mutation evolutionary programming (DCMEP) Energy Convers. Manage. 47 9-10 2006 1222 1230
    • (2006) Energy Convers. Manage. , vol.47 , Issue.910 , pp. 1222-1230
    • Jiang, C.1    Ma, Y.2    Wang, C.3
  • 37
    • 29144460641 scopus 로고    scopus 로고
    • Parameters identification of chaotic systems via chaotic ant swarm
    • L. Li, Y. Yang, H. Peng, and X. Wang Parameters identification of chaotic systems via chaotic ant swarm Chaos Solitons Fractals 28 15 2006 82 90
    • (2006) Chaos Solitons Fractals , vol.28 , Issue.15 , pp. 82-90
    • Li, L.1    Yang, Y.2    Peng, H.3    Wang, X.4
  • 38
    • 0032121571 scopus 로고    scopus 로고
    • On chaotic simulated annealing
    • L. Wang, and K. Smith On chaotic simulated annealing IEEE Trans. Neural Networks 9 4 1998 716 718
    • (1998) IEEE Trans. Neural Networks , vol.9 , Issue.4 , pp. 716-718
    • Wang, L.1    Smith, K.2
  • 39
    • 2542470077 scopus 로고    scopus 로고
    • Application embedded chaos search immune genetic algorithm for short-term unit commitment
    • G.C. Liao, and T.P. Tsao Application embedded chaos search immune genetic algorithm for short-term unit commitment Electr. Power Syst. Res. 71 2 2004 135 144
    • (2004) Electr. Power Syst. Res. , vol.71 , Issue.2 , pp. 135-144
    • Liao, G.C.1    Tsao, T.P.2
  • 40
    • 27744549915 scopus 로고    scopus 로고
    • A novel immune evolutionary algorithm incorporating chaos optimization
    • G. Zilong, W. Sun'an, and Z. Jian A novel immune evolutionary algorithm incorporating chaos optimization Pattern Recognit. Lett. 27 1 2006 2 8
    • (2006) Pattern Recognit. Lett. , vol.27 , Issue.1 , pp. 2-8
    • Zilong, G.1    Sun'An, W.2    Jian, Z.3
  • 41
    • 1542290080 scopus 로고    scopus 로고
    • Application of chaos in simulated annealing
    • J. Mingjun, and T. Huanwen Application of chaos in simulated annealing Chaos Solitons Fractals 21 4 2004 933 941
    • (2004) Chaos Solitons Fractals , vol.21 , Issue.4 , pp. 933-941
    • Mingjun, J.1    Huanwen, T.2
  • 42
    • 79959982907 scopus 로고    scopus 로고
    • A tuning strategy for multivariable PI and PID controllers using differential evolution combined with chaotic Zaslavskii map
    • L.S. Coelho, and M.W. Pessôa A tuning strategy for multivariable PI and PID controllers using differential evolution combined with chaotic Zaslavskii map Expert Syst. Appl. 38 11 2011 13694 13701
    • (2011) Expert Syst. Appl. , vol.38 , Issue.11 , pp. 13694-13701
    • Coelho, L.S.1    Pessôa, M.W.2
  • 43
    • 84855897694 scopus 로고    scopus 로고
    • Least squares support vector machines with tuning based on chaotic differential evolution approach applied to the identification of a thermal process
    • G.S. dos Santos, L.G.J. Luvizotto, V.C. Mariani, and L.S. Coelho Least squares support vector machines with tuning based on chaotic differential evolution approach applied to the identification of a thermal process Expert Syst. Appl. 39 5 2012 4805 4812
    • (2012) Expert Syst. Appl. , vol.39 , Issue.5 , pp. 4805-4812
    • Dos Santos, G.S.1    Luvizotto, L.G.J.2    Mariani, V.C.3    Coelho, L.S.4
  • 44
    • 84866728838 scopus 로고    scopus 로고
    • Firefly algorithm approach based on chaotic Tinkerbell map applied to multivariable PID controller tuning
    • L.S. Coelho, and V.C. Mariani Firefly algorithm approach based on chaotic Tinkerbell map applied to multivariable PID controller tuning Comput. Math. Appl. 64 8 2012 2371 2382
    • (2012) Comput. Math. Appl. , vol.64 , Issue.8 , pp. 2371-2382
    • Coelho, L.S.1    Mariani, V.C.2
  • 45
    • 33947136501 scopus 로고    scopus 로고
    • Coevolutionary particle swarm optimization using Gaussian distribution for solving constrained optimization problems
    • R.A. Krohling, and L.S. Coelho Coevolutionary particle swarm optimization using Gaussian distribution for solving constrained optimization problems IEEE Trans. Syst. Man Cybern. - Part B Cybern. 36 6 2006 1407 1416
    • (2006) IEEE Trans. Syst. Man Cybern. - Part B Cybern. , vol.36 , Issue.6 , pp. 1407-1416
    • Krohling, R.A.1    Coelho, L.S.2
  • 47
    • 84942085623 scopus 로고    scopus 로고
    • Visualizing particle swarm optimization Gaussian particle swarm optimization
    • Indianapolis, IN, USA
    • B. R. Secrest, G. B. Lamont, Visualizing particle swarm optimization Gaussian particle swarm optimization, in: Proceedings of the IEEE Swarm Intelligence Symposium, Indianapolis, IN, USA, 2003, 198-204.
    • (2003) Proceedings of the IEEE Swarm Intelligence Symposium , pp. 198-204
    • Secrest, B.R.1    Lamont, G.B.2
  • 49
    • 43049114215 scopus 로고    scopus 로고
    • Solving economic load dispatch problems in power systems using chaotic and Gaussian particle swarm optimization approaches
    • L.S. Coelho, and C.S. Lee Solving economic load dispatch problems in power systems using chaotic and Gaussian particle swarm optimization approaches Int. J. Electr. Power Energy Syst. 30 5 2008 297 307
    • (2008) Int. J. Electr. Power Energy Syst. , vol.30 , Issue.5 , pp. 297-307
    • Coelho, L.S.1    Lee, C.S.2
  • 52
    • 57149097311 scopus 로고    scopus 로고
    • Parameter estimation of the generalized gamma distribution
    • O. Gomes, C. Combe, and A. Dussauchoy Parameter estimation of the generalized gamma distribution Math. Comput. Simul. 79 4 2008 955 963
    • (2008) Math. Comput. Simul. , vol.79 , Issue.4 , pp. 955-963
    • Gomes, O.1    Combe, C.2    Dussauchoy, A.3
  • 53
    • 84877843504 scopus 로고    scopus 로고
    • Novel gamma differential evolution approach for multiobjective transformer design optimization
    • L.S. Coelho, V.C. Mariani, M.V. Ferreira da Luz, and J.V. Leite Novel gamma differential evolution approach for multiobjective transformer design optimization IEEE Trans. Magn. 49 5 2013 2121 2124
    • (2013) IEEE Trans. Magn. , vol.49 , Issue.5 , pp. 2121-2124
    • Coelho, L.S.1    Mariani, V.C.2    Ferreira Da Luz, M.V.3    Leite, J.V.4
  • 54
    • 33646079403 scopus 로고    scopus 로고
    • A note on the extended Rosenbrock function
    • Y.W. Shang, and Y.H. Qiu A note on the extended Rosenbrock function Evol. Comput. 14 2006 119 126
    • (2006) Evol. Comput. , vol.14 , pp. 119-126
    • Shang, Y.W.1    Qiu, Y.H.2
  • 55
    • 84879539339 scopus 로고    scopus 로고
    • Problem definitions and evaluation criteria for the CEC 2013 Special session and competition on real-parameter optimization
    • Zhengzhou University, Zhengzhou China and Technical Report, Nanyang Technological University, Singapore, January
    • J. Liang, B-Y. Qu, P. N. Suganthan, A. G. Hernández-Díaz, Problem definitions and evaluation criteria for the CEC 2013 Special session and competition on real-parameter optimization, Technical Report 201212, Computational Intelligence Laboratory, Zhengzhou University, Zhengzhou China and Technical Report, Nanyang Technological University, Singapore, January 2013.
    • (2013) Technical Report 201212, Computational Intelligence Laboratory
    • Liang, J.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
    • J. Derrac, S. García, D. Molina, and F. Herrera A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms Swarm Evol. Comput. 1 1 2011 3 18
    • (2011) Swarm Evol. Comput. , vol.1 , Issue.1 , pp. 3-18
    • Derrac, J.1    García, S.2    Molina, D.3    Herrera, F.4


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