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Volumn 241, Issue , 2013, Pages 164-194

Adaptive memetic differential evolution with global and local neighborhood-based mutation operators

Author keywords

Differential Evolution; Evolutionary algorithm; Global numerical optimization; Memetic algorithm; Memetic computing; Self adaptation

Indexed keywords

DIFFERENTIAL EVOLUTION; GLOBAL NUMERICAL OPTIMIZATIONS; MEMETIC ALGORITHMS; MEMETIC COMPUTING; SELF ADAPTATION;

EID: 84878251982     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2013.03.060     Document Type: Article
Times cited : (99)

References (160)
  • 1
    • 0036275180 scopus 로고    scopus 로고
    • An evolutionary artificial neural networks approach for breast cancer diagnosis
    • H.A. Abbass An evolutionary artificial neural networks approach for breast cancer diagnosis Artificial Intelligence in Medicine 25 3 2002 265 281
    • (2002) Artificial Intelligence in Medicine , vol.25 , Issue.3 , pp. 265-281
    • Abbass, H.A.1
  • 2
    • 84875728689 scopus 로고    scopus 로고
    • A framework for evolutionary algorithms based on Charles Sanders Peirce's Evolutionary semiotics
    • J. Akhtar, B.B. Koshul, and M.M. Awais A framework for evolutionary algorithms based on Charles Sanders Peirce's Evolutionary semiotics Information Sciences 236 2013 93 108
    • (2013) Information Sciences , vol.236 , pp. 93-108
    • Akhtar, J.1    Koshul, B.B.2    Awais, M.M.3
  • 3
    • 82055162850 scopus 로고    scopus 로고
    • Sentence selection for generic document summarization using an adaptive differential evolution algorithm
    • R.M. Alguliev, R.M. Aliguliyev, and C.A. Mehidyev Sentence selection for generic document summarization using an adaptive differential evolution algorithm Swarm and Evolutionary Computation 1 2011 213 222
    • (2011) Swarm and Evolutionary Computation , vol.1 , pp. 213-222
    • Alguliev, R.M.1    Aliguliyev, R.M.2    Mehidyev, C.A.3
  • 4
    • 33947634616 scopus 로고    scopus 로고
    • Differential evolution with preferential crossover
    • M.M. Ali Differential evolution with preferential crossover European Journal of Operational Research 181 3 2007 1137 1147
    • (2007) European Journal of Operational Research , vol.181 , Issue.3 , pp. 1137-1147
    • Ali, M.M.1
  • 5
    • 79251601256 scopus 로고    scopus 로고
    • Differential evolution with generalized differentials
    • M.M. Ali Differential evolution with generalized differentials Journal of Computational and Applied Mathematics 235 8 2011 2205 2216
    • (2011) Journal of Computational and Applied Mathematics , vol.235 , Issue.8 , pp. 2205-2216
    • Ali, M.M.1
  • 8
    • 77955303876 scopus 로고    scopus 로고
    • A lamarckian hybrid of differential evolution and conjugate gradients for neural network training
    • K. Bandurski, and W. Kwedlo A lamarckian hybrid of differential evolution and conjugate gradients for neural network training Neural Processing Letters 32 1 2010 31 44
    • (2010) Neural Processing Letters , vol.32 , Issue.1 , pp. 31-44
    • Bandurski, K.1    Kwedlo, W.2
  • 11
    • 79960099638 scopus 로고    scopus 로고
    • Classification-based self-adaptive differential evolution with fast and reliable convergence performance
    • X.J. Bi, and J. Xiao Classification-based self-adaptive differential evolution with fast and reliable convergence performance Soft Computing 15 8 2011 1581 1599
    • (2011) Soft Computing , vol.15 , Issue.8 , pp. 1581-1599
    • Bi, X.J.1    Xiao, J.2
  • 12
    • 78650514931 scopus 로고    scopus 로고
    • Two-stage update biogeography-based optimization using differential evolution algorithm (DBBO)
    • B. Boussaid, A. Chatterjee, P. Siarry, and M. Ahmed-Nacer Two-stage update biogeography-based optimization using differential evolution algorithm (DBBO) Computers & Operations Research 38 2011 1188 1198
    • (2011) Computers & Operations Research , vol.38 , pp. 1188-1198
    • Boussaid, B.1    Chatterjee, A.2    Siarry, P.3    Ahmed-Nacer, M.4
  • 13
    • 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 Transactions on Evolutionary Computation 10 6 2006 646 657
    • (2006) IEEE Transactions on Evolutionary Computation , vol.10 , Issue.6 , pp. 646-657
    • Brest, J.1    Greiner, S.2    Boskovic, B.3    Mernik, M.4    Zumer, V.5
  • 14
    • 33847214170 scopus 로고    scopus 로고
    • Performance comparison of self-adaptive and adaptive differential evolution algorithms
    • J. Brest, B. Boskovic, S. Greiner, V. Zumer, and M.S. Maucec Performance comparison of self-adaptive and adaptive differential evolution algorithms Soft Computing 11 2007 617 629
    • (2007) Soft Computing , vol.11 , pp. 617-629
    • Brest, J.1    Boskovic, B.2    Greiner, S.3    Zumer, V.4    Maucec, M.S.5
  • 15
    • 54249120350 scopus 로고    scopus 로고
    • Population size reduction for the differential evolution algorithm
    • J. Brest, and M.S. Maucec Population size reduction for the differential evolution algorithm Applied Intelligence 29 3 2008 228 247
    • (2008) Applied Intelligence , vol.29 , Issue.3 , pp. 228-247
    • Brest, J.1    Maucec, M.S.2
  • 16
    • 80053941705 scopus 로고    scopus 로고
    • Self-adaptive differential evolution algorithm using population size reduction and three strategies
    • J. Brest, and M.S. Maucec Self-adaptive differential evolution algorithm using population size reduction and three strategies Soft Computing 15 11 2011 2157 2174
    • (2011) Soft Computing , vol.15 , Issue.11 , pp. 2157-2174
    • Brest, J.1    Maucec, M.S.2
  • 17
    • 77957907675 scopus 로고    scopus 로고
    • A clustering-based differential evolution for global optimization
    • Z.H. Cai, W.Y. Gong, C.X. Ling, and H. Zhang A clustering-based differential evolution for global optimization Applied Soft Computing 11 1 2011 1363 1379
    • (2011) Applied Soft Computing , vol.11 , Issue.1 , pp. 1363-1379
    • Cai, Z.H.1    Gong, W.Y.2    Ling, C.X.3    Zhang, H.4
  • 18
    • 62549089098 scopus 로고    scopus 로고
    • Super-fit control adaptation in memetic differential evolution frameworks
    • A. Caponio, F. Neri, and V. Tirronen Super-fit control adaptation in memetic differential evolution frameworks Soft Computing 13 8-9 2009 811 831
    • (2009) Soft Computing , vol.13 , Issue.89 , pp. 811-831
    • Caponio, A.1    Neri, F.2    Tirronen, V.3
  • 20
    • 77049104557 scopus 로고    scopus 로고
    • An improved harmony search algorithm with differential mutation operator
    • P. Chakraborty, G.G. Roy, S. Das, D. Jain, and A. Abraham An improved harmony search algorithm with differential mutation operator Fundamenta Informaticae 95 4 2009 401 426
    • (2009) Fundamenta Informaticae , vol.95 , Issue.4 , pp. 401-426
    • Chakraborty, P.1    Roy, G.G.2    Das, S.3    Jain, D.4    Abraham, A.5
  • 21
    • 81755177594 scopus 로고    scopus 로고
    • A hybrid method based on differential evolution and continuous ant colony optimization and its application on wideband antenna design
    • L. Chang, C. Liao, W.B. Lin, L.L. Chen, and X. Zheng A hybrid method based on differential evolution and continuous ant colony optimization and its application on wideband antenna design Progress in Electromagnetics Research - PIER 122 2012 105 118
    • (2012) Progress in Electromagnetics Research - PIER , vol.122 , pp. 105-118
    • Chang, L.1    Liao, C.2    Lin, W.B.3    Chen, L.L.4    Zheng, X.5
  • 23
    • 9244223596 scopus 로고    scopus 로고
    • Ant direction hybrid differential evolution for solving large capacitor placement problems
    • J.P. Chiou, C.F. Chang, and C.T. Su Ant direction hybrid differential evolution for solving large capacitor placement problems IEEE Transactions on Power Systems 19 4 2004 1794 1800
    • (2004) IEEE Transactions on Power Systems , vol.19 , Issue.4 , pp. 1794-1800
    • Chiou, J.P.1    Chang, C.F.2    Su, C.T.3
  • 24
    • 0042815143 scopus 로고    scopus 로고
    • What can we learn from no free lunch? A first attempt to characterize the concept of a searcheable function
    • S. Christensen, F. Oppacher, What can we learn from no free lunch? A first attempt to characterize the concept of a searcheable function, in: Proc. Genet. Evolut. Comput. Conf., 2001, pp. 1219-1226.
    • (2001) Proc. Genet. Evolut. Comput. Conf. , pp. 1219-1226
    • Christensen, S.1    Oppacher, F.2
  • 25
    • 77249101235 scopus 로고    scopus 로고
    • A modified ant colony optimization algorithm based on differential evolution for chaotic synchronization
    • L.D. Coelho, and D.L.D. Bernert A modified ant colony optimization algorithm based on differential evolution for chaotic synchronization Expert Systems with Applications 37 6 2010 4198 4203
    • (2010) Expert Systems with Applications , vol.37 , Issue.6 , pp. 4198-4203
    • Coelho, L.D.1    Bernert, D.L.D.2
  • 27
    • 84863004008 scopus 로고    scopus 로고
    • A note on teaching-learning-based optimization algorithm
    • M. Crepinsek, S.H. Liu, and L. Mernik A note on teaching-learning-based optimization algorithm Information Sciences 212 2012 79 93
    • (2012) Information Sciences , vol.212 , pp. 79-93
    • Crepinsek, M.1    Liu, S.H.2    Mernik, L.3
  • 30
    • 75149113079 scopus 로고    scopus 로고
    • Kernel-induced fuzzy clustering of image pixels with an improved differential evolution algorithm
    • S. Das, and S. Sil Kernel-induced fuzzy clustering of image pixels with an improved differential evolution algorithm Information Sciences 180 8 2010 1237 1256
    • (2010) Information Sciences , vol.180 , Issue.8 , pp. 1237-1256
    • Das, S.1    Sil, S.2
  • 32
    • 84555193625 scopus 로고    scopus 로고
    • Real-parameter evolutionary multimodal optimization - A survey of the state-of-the-art
    • S. Das, S. Maity, B.Y. Qu, and P.N. Suganthan Real-parameter evolutionary multimodal optimization - a survey of the state-of-the-art Swarm and Evolutionary Computation 1 2011 71 88
    • (2011) Swarm and Evolutionary Computation , vol.1 , pp. 71-88
    • Das, S.1    Maity, S.2    Qu, B.Y.3    Suganthan, P.N.4
  • 34
    • 84857783976 scopus 로고    scopus 로고
    • Investigating smart sampling as a population initialization method for differential evolution in continuous problems
    • V.V. De Melo, and A.C.B. Delbem Investigating smart sampling as a population initialization method for differential evolution in continuous problems Information Sciences 193 2012 36 53
    • (2012) Information Sciences , vol.193 , pp. 36-53
    • De Melo, V.V.1    Delbem, A.C.B.2
  • 35
    • 29644438050 scopus 로고    scopus 로고
    • Statistical comparisons of classifiers over multiple data sets
    • J. Demsar Statistical comparisons of classifiers over multiple data sets Journal of Machine Learning Research 7 2006 1 30
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 1-30
    • Demsar, J.1
  • 36
    • 79952008744 scopus 로고    scopus 로고
    • Improving classical and decentralized differential evolution with new mutation operator and population topologies
    • B. Dorronosoro, and P. Bouvry Improving classical and decentralized differential evolution with new mutation operator and population topologies IEEE Transactions on Evolutionary Computation 15 1 2011 67 98
    • (2011) IEEE Transactions on Evolutionary Computation , vol.15 , Issue.1 , pp. 67-98
    • Dorronosoro, B.1    Bouvry, P.2
  • 37
    • 0002506192 scopus 로고    scopus 로고
    • Perheps not a Free Lunch but at Least a Free Appetizer
    • Dep. Comp. Sci. University of Dortmund
    • S. Droste, T. Jansen, I. Wegener, Perheps not a Free Lunch but at Least a Free Appetizer, Tech. Rep. ISSN 1433-3325, Dep. Comp. Sci. University of Dortmund, 1998.
    • (1998) Tech. Rep. ISSN 1433-3325
    • Droste, S.1    Jansen, T.2    Wegener, I.3
  • 38
    • 0037174190 scopus 로고    scopus 로고
    • Optimization with randomized search heuristics - The (A)NFL theorem, realistic scenarios, and difficult functions
    • S. Droste, T. Jansen, and I. Wegener Optimization with randomized search heuristics - the (A)NFL theorem, realistic scenarios, and difficult functions Theoretical Computer Science 287 1 2002 131 144
    • (2002) Theoretical Computer Science , vol.287 , Issue.1 , pp. 131-144
    • Droste, S.1    Jansen, T.2    Wegener, I.3
  • 40
    • 79960494768 scopus 로고    scopus 로고
    • Parameter tuning for configuring and analyzing evolutionary algorithms
    • A.E. Eiben, and S.K. Smit Parameter tuning for configuring and analyzing evolutionary algorithms Swarm and Evolutionary Computation 1 2011 19 31
    • (2011) Swarm and Evolutionary Computation , vol.1 , pp. 19-31
    • Eiben, A.E.1    Smit, S.K.2
  • 44
    • 84864659396 scopus 로고    scopus 로고
    • Evolving cognitive and social experience in particle swarm optimization through differential evolution: A hybrid approach
    • M.G. Epitropakis, V.P. Plagianakos, and M.N. Vrahatis Evolving cognitive and social experience in particle swarm optimization through differential evolution: a hybrid approach Information Sciences 216 2012 50 92
    • (2012) Information Sciences , vol.216 , pp. 50-92
    • Epitropakis, M.G.1    Plagianakos, V.P.2    Vrahatis, M.N.3
  • 45
    • 0043268702 scopus 로고    scopus 로고
    • A Trigonometric mutation operation to Differential Evolution
    • H.Y. Fan, and J. Lampinen A Trigonometric mutation operation to Differential Evolution Journal of Global Optimization 27 1 2003 105 129
    • (2003) Journal of Global Optimization , vol.27 , Issue.1 , pp. 105-129
    • Fan, H.Y.1    Lampinen, J.2
  • 47
    • 84944811700 scopus 로고
    • The use of ranks to avoid the assumption of normality implicit the in the analysis of variance
    • M. Friedman The use of ranks to avoid the assumption of normality implicit the in the analysis of variance Journal of American Statistical Association 32 1937 674 701
    • (1937) Journal of American Statistical Association , vol.32 , pp. 674-701
    • Friedman, M.1
  • 49
    • 77549084648 scopus 로고    scopus 로고
    • Advanced nonparametric tests for multiple comparison in the design of experiments in computational intelligence and data mining: Experimental analysis of power
    • S. Garcia, A. Fernandez, J. Luengo, and F. Herdera Advanced nonparametric tests for multiple comparison in the design of experiments in computational intelligence and data mining: experimental analysis of power Information Sciences 180 10 2010 2044 2064
    • (2010) Information Sciences , vol.180 , Issue.10 , pp. 2044-2064
    • Garcia, S.1    Fernandez, A.2    Luengo, J.3    Herdera, F.4
  • 50
    • 79959728262 scopus 로고    scopus 로고
    • An improved differential evolution algorithm with fitness-based adaptation of the control parameters
    • A. Ghosh, S. Das, A. Chowdhury, and R. Gini An improved differential evolution algorithm with fitness-based adaptation of the control parameters Information Sciences 181 18 2011 3749 3765
    • (2011) Information Sciences , vol.181 , Issue.18 , pp. 3749-3765
    • Ghosh, A.1    Das, S.2    Chowdhury, A.3    Gini, R.4
  • 51
    • 80055062692 scopus 로고    scopus 로고
    • A differential covariance matrix adaptation evolutionary algorithm for real parameter optimization
    • S. Ghosh, S. Das, S. Roy, S.K.M. Islam, and P.N. Suganthan A differential covariance matrix adaptation evolutionary algorithm for real parameter optimization Information Sciences 181 1 2012 199 219
    • (2012) Information Sciences , vol.181 , Issue.1 , pp. 199-219
    • Ghosh, S.1    Das, S.2    Roy, S.3    Islam, S.K.M.4    Suganthan, P.N.5
  • 53
    • 78751650432 scopus 로고    scopus 로고
    • DE/BBO: A hybrid differential evolution with biogeography-based optimization for global numerical optimization
    • W.Y. Gong, Z.H. Cai, and C.Y. Ling DE/BBO: a hybrid differential evolution with biogeography-based optimization for global numerical optimization Soft Computing 15 4 2011 645 665
    • (2011) Soft Computing , vol.15 , Issue.4 , pp. 645-665
    • Gong, W.Y.1    Cai, Z.H.2    Ling, C.Y.3
  • 55
    • 80054716148 scopus 로고    scopus 로고
    • Adaptive strategy selection in differential evolution for numerical optimization: An empirical study
    • W.Y. Gong, A. Fialho, Z.H. Cai, and H. Li Adaptive strategy selection in differential evolution for numerical optimization: an empirical study Information Sciences 181 24 2011 5364 5386
    • (2011) Information Sciences , vol.181 , Issue.24 , pp. 5364-5386
    • Gong, W.Y.1    Fialho, A.2    Cai, Z.H.3    Li, H.4
  • 56
    • 77958092744 scopus 로고    scopus 로고
    • A fuzzy logic control using a differential evolution algorithm aimed at modelling the financial market dynamics
    • N. Hachicha, B. Jarboui, and P. Siarry A fuzzy logic control using a differential evolution algorithm aimed at modelling the financial market dynamics Information Sciences 181 1 2011 79 91
    • (2011) Information Sciences , vol.181 , Issue.1 , pp. 79-91
    • Hachicha, N.1    Jarboui, B.2    Siarry, P.3
  • 57
    • 0029722015 scopus 로고    scopus 로고
    • Adapting arbitrary normal mutation distributions in evolution strategies: The covariance matrix adaptation
    • Nagoya, Japan
    • N. Hansen, A. Ostermeier, Adapting arbitrary normal mutation distributions in evolution strategies: the covariance matrix adaptation, in: Proc. IEEE Int. Conf. Evol. Comput., Nagoya, Japan, 1996, pp. 312-317.
    • (1996) Proc. IEEE Int. Conf. Evol. Comput. , pp. 312-317
    • Hansen, N.1    Ostermeier, A.2
  • 58
    • 59749085404 scopus 로고    scopus 로고
    • A method for handling uncertainty in evolutionary optimization with an application to feedback control of combustion
    • N. Hansen, A.S.P. Niederberger, L. Guzzella, and P. Koumoutsakos A method for handling uncertainty in evolutionary optimization with an application to feedback control of combustion IEEE Transactions on Evolutionary Computation 13 1 2009 180 197
    • (2009) IEEE Transactions on Evolutionary Computation , vol.13 , Issue.1 , pp. 180-197
    • Hansen, N.1    Niederberger, A.S.P.2    Guzzella, L.3    Koumoutsakos, P.4
  • 59
    • 84947570481 scopus 로고    scopus 로고
    • A combined swarm differential evolution algorithm for optimization problems
    • T. Hendtlass, A combined swarm differential evolution algorithm for optimization problems, in: Lecture Notes in Computer Science, vol. 2070, 2001, pp.11-18.
    • (2001) Lecture Notes in Computer Science , vol.2070 , pp. 11-18
    • Hendtlass, T.1
  • 60
    • 0002294347 scopus 로고
    • A simple sequentially rejective multiple test procedure
    • S. Holm A simple sequentially rejective multiple test procedure Scandinavian Journal of Statistics 6 1979 65 70
    • (1979) Scandinavian Journal of Statistics , vol.6 , pp. 65-70
    • Holm, S.1
  • 61
    • 77951126873 scopus 로고    scopus 로고
    • Intracranial pressure pulse morphological features improved detection of decreased cerebral blood flow
    • X. Hu, T. Glenn, F. Scalzo, M. Bergsneider, C. Sarkiss, N. Martin, and P. Vespa Intracranial pressure pulse morphological features improved detection of decreased cerebral blood flow Physiological Measurement 31 5 2010 679 695
    • (2010) Physiological Measurement , vol.31 , Issue.5 , pp. 679-695
    • Hu, X.1    Glenn, T.2    Scalzo, F.3    Bergsneider, M.4    Sarkiss, C.5    Martin, N.6    Vespa, P.7
  • 62
    • 33947265511 scopus 로고    scopus 로고
    • An effective co-evolutionary differential evolution for constrained optimization
    • F.Z. Huang, L. Wang, and Q. He An effective co-evolutionary differential evolution for constrained optimization Applied Mathematics and Computation 186 1 2007 340 356
    • (2007) Applied Mathematics and Computation , vol.186 , Issue.1 , pp. 340-356
    • Huang, F.Z.1    Wang, L.2    He, Q.3
  • 63
    • 84855440057 scopus 로고    scopus 로고
    • Ockham's razor in memetic computing: Three stage optimal memetic exploration
    • G. Iacca, F. Neri, E. Mininno, Y.S. Ong, and M.H. Lim Ockham's razor in memetic computing: three stage optimal memetic exploration Information Sciences 188 2012 17 43
    • (2012) Information Sciences , vol.188 , pp. 17-43
    • Iacca, G.1    Neri, F.2    Mininno, E.3    Ong, Y.S.4    Lim, M.H.5
  • 65
    • 0038625313 scopus 로고    scopus 로고
    • On classes of functions for which no free lunch results hold
    • C. Igel, and M. Toussaint On classes of functions for which no free lunch results hold Information Processing Letters 86 6 2003 317 321
    • (2003) Information Processing Letters , vol.86 , Issue.6 , pp. 317-321
    • Igel, C.1    Toussaint, M.2
  • 66
    • 20944431820 scopus 로고    scopus 로고
    • A no-free lunch theorem for non-uniform distributions of target functions
    • C. Igel, and M. Toussaint A no-free lunch theorem for non-uniform distributions of target functions Journal of Mathematical Modelling and Algorithms 3 2004 313 322
    • (2004) Journal of Mathematical Modelling and Algorithms , vol.3 , pp. 313-322
    • Igel, C.1    Toussaint, M.2
  • 68
    • 84870065092 scopus 로고    scopus 로고
    • An improved (μ + λ)-constrained differential evolution for constrained optimization
    • G. Jia, Y. Wang, Z. Cai, and Y. Jin An improved (μ + λ)-constrained differential evolution for constrained optimization Information Sciences 222 2013 302 322
    • (2013) Information Sciences , vol.222 , pp. 302-322
    • Jia, G.1    Wang, Y.2    Cai, Z.3    Jin, Y.4
  • 69
    • 79955765865 scopus 로고    scopus 로고
    • An effective memetic differential evolution algorithm based on chaotic local search
    • D.L. Jia, G.X. Zheng, and M.K. Khan An effective memetic differential evolution algorithm based on chaotic local search Information Sciences 181 15 2011 3175 3187
    • (2011) Information Sciences , vol.181 , Issue.15 , pp. 3175-3187
    • Jia, D.L.1    Zheng, G.X.2    Khan, M.K.3
  • 70
    • 79952068196 scopus 로고    scopus 로고
    • Free lunches on the discrete Lipschitz class
    • P. Jiang, and Y.P. Chen Free lunches on the discrete Lipschitz class Theoretical Computer Science 412 17 2011 1614 1628
    • (2011) Theoretical Computer Science , vol.412 , Issue.17 , pp. 1614-1628
    • Jiang, P.1    Chen, Y.P.2
  • 71
    • 27144498157 scopus 로고    scopus 로고
    • A numerical study on some modified differential evolution algorithms
    • P. Kaelo, and M.M. Ali A numerical study on some modified differential evolution algorithms European Journal of Operational Research 169 3 2006 1176 1184
    • (2006) European Journal of Operational Research , vol.169 , Issue.3 , pp. 1176-1184
    • Kaelo, P.1    Ali, M.M.2
  • 72
    • 0242667172 scopus 로고    scopus 로고
    • Optimization by direct search: New perspectives on some classical and modern methods
    • T.G. Kolda, R.M. Lewis, and V. Torczon Optimization by direct search: new perspectives on some classical and modern methods SIAM Review 45 3 2003 385 482
    • (2003) SIAM Review , vol.45 , Issue.3 , pp. 385-482
    • Kolda, T.G.1    Lewis, R.M.2    Torczon, V.3
  • 74
    • 27344452492 scopus 로고    scopus 로고
    • A tutorial for competent memetic algorithms: Model, taxonomy, and design issues
    • N. Krasnogor, and J. Smith A tutorial for competent memetic algorithms: model, taxonomy, and design issues IEEE Transactions on Evolutionary Computation 9 5 2005 474 488
    • (2005) IEEE Transactions on Evolutionary Computation , vol.9 , Issue.5 , pp. 474-488
    • Krasnogor, N.1    Smith, J.2
  • 77
    • 34948868342 scopus 로고    scopus 로고
    • Evolving problems to learn about particle swarm optimizers and other search algorithms
    • W.B. Langdon, and R. Poli Evolving problems to learn about particle swarm optimizers and other search algorithms IEEE Transactions on Evolutionary Computation 11 5 2007 561 578
    • (2007) IEEE Transactions on Evolutionary Computation , vol.11 , Issue.5 , pp. 561-578
    • Langdon, W.B.1    Poli, R.2
  • 78
    • 78049297417 scopus 로고    scopus 로고
    • Two hybrid differential evolution algorithms for engineering design optimization
    • T.W. Liao Two hybrid differential evolution algorithms for engineering design optimization Applied Soft Computing 10 4 2010 1188 1199
    • (2010) Applied Soft Computing , vol.10 , Issue.4 , pp. 1188-1199
    • Liao, T.W.1
  • 79
    • 84855512980 scopus 로고    scopus 로고
    • A comparative study of crossover in differential evolution
    • C. Lin, A.Y. Qing, and Q.Y. Feng A comparative study of crossover in differential evolution Journal of Heuristics 17 6 2011 675 703
    • (2011) Journal of Heuristics , vol.17 , Issue.6 , pp. 675-703
    • Lin, C.1    Qing, A.Y.2    Feng, Q.Y.3
  • 80
    • 20444409462 scopus 로고    scopus 로고
    • A fuzzy adaptive differential evolution algorithm
    • J. Liu, and J. Lampinen A fuzzy adaptive differential evolution algorithm Soft Computing 9 2005 448 462
    • (2005) Soft Computing , vol.9 , pp. 448-462
    • Liu, J.1    Lampinen, J.2
  • 81
    • 70649097284 scopus 로고    scopus 로고
    • Hybridizing particle swarm optimization with differential evolution for constrained numerical and engineering optimization
    • H. Liu, Z. Cai, and Y. Wang Hybridizing particle swarm optimization with differential evolution for constrained numerical and engineering optimization Applied Soft Computing 10 2 2010 629 640
    • (2010) Applied Soft Computing , vol.10 , Issue.2 , pp. 629-640
    • Liu, H.1    Cai, Z.2    Wang, Y.3
  • 82
    • 84655163230 scopus 로고    scopus 로고
    • A novel clustering-based differential evolution with 2 multi-parent crossovers for global optimization
    • G. Liu, Y. Li, X. Nie, and H. Zheng A novel clustering-based differential evolution with 2 multi-parent crossovers for global optimization Applied Soft Computing 12 2 2012 663 681
    • (2012) Applied Soft Computing , vol.12 , Issue.2 , pp. 663-681
    • Liu, G.1    Li, Y.2    Nie, X.3    Zheng, H.4
  • 84
    • 80052420150 scopus 로고    scopus 로고
    • A differential evolution approach for robust adaptive beamforming based on joint estimation of look direction and array geometry
    • R. Mallipeddi, J.P. Lie, P.N. Suganthan, S.G. Razul, and C.M.S. See A differential evolution approach for robust adaptive beamforming based on joint estimation of look direction and array geometry Progress in Electromagnetics Research - PIER 119 2011 381 394
    • (2011) Progress in Electromagnetics Research - PIER , vol.119 , pp. 381-394
    • Mallipeddi, R.1    Lie, J.P.2    Suganthan, P.N.3    Razul, S.G.4    See, C.M.S.5
  • 85
    • 78650872465 scopus 로고    scopus 로고
    • Differential evolution algorithm with ensemble of parameters and mutation strategies
    • R. Mallipeddi, P.N. Suganthan, Q.K. Pan, and M.F. Tasgetiren Differential evolution algorithm with ensemble of parameters and mutation strategies Applied Soft Computing 11 2 2011 1679 1696
    • (2011) Applied Soft Computing , vol.11 , Issue.2 , pp. 1679-1696
    • Mallipeddi, R.1    Suganthan, P.N.2    Pan, Q.K.3    Tasgetiren, M.F.4
  • 86
    • 84867571592 scopus 로고    scopus 로고
    • A centralised cooperative strategy for continuous optimisation: The influence of cooperation in performance and behaviour
    • A.D. Masegosa, D.A. Pelta, and J.L. Verdegay A centralised cooperative strategy for continuous optimisation: the influence of cooperation in performance and behaviour Information Sciences 219 2013 73 92
    • (2013) Information Sciences , vol.219 , pp. 73-92
    • Masegosa, A.D.1    Pelta, D.A.2    Verdegay, J.L.3
  • 88
    • 84859158314 scopus 로고    scopus 로고
    • Constrained optimization based on modified differential evolution algorithm
    • A.W. Mohamed, and H.Z. Sabry Constrained optimization based on modified differential evolution algorithm Information Sciences 194 2012 171 208
    • (2012) Information Sciences , vol.194 , pp. 171-208
    • Mohamed, A.W.1    Sabry, H.Z.2
  • 89
    • 7444229852 scopus 로고    scopus 로고
    • Solving nonconvex climate control problems: Pitfalls and algorithm performances
    • C.G. Moles, J.R. Banga, and K. Keller Solving nonconvex climate control problems: pitfalls and algorithm performances Applied Soft Computing 5 1 2004 35 44
    • (2004) Applied Soft Computing , vol.5 , Issue.1 , pp. 35-44
    • Moles, C.G.1    Banga, J.R.2    Keller, K.3
  • 90
    • 33746405239 scopus 로고    scopus 로고
    • Evolving digital circuits using hybrid particle swarm optimization and differential evolution
    • P.W. Moore, and G.K. Venayagamoorthy Evolving digital circuits using hybrid particle swarm optimization and differential evolution International Journal of Neural Systems 16 3 2006 163 177
    • (2006) International Journal of Neural Systems , vol.16 , Issue.3 , pp. 163-177
    • Moore, P.W.1    Venayagamoorthy, G.K.2
  • 91
    • 0000238336 scopus 로고
    • A simplex-method for function minimization
    • J.A. Nelder, and R. Mead A simplex-method for function minimization Computer Journal 7 4 1965 308 313
    • (1965) Computer Journal , vol.7 , Issue.4 , pp. 308-313
    • Nelder, J.A.1    Mead, R.2
  • 92
    • 55749087823 scopus 로고    scopus 로고
    • On memetic differential evolution frameworks: A study of advantages and limitations in hybridization
    • Hong Kong
    • F. Neri, V. Tirronen, On memetic differential evolution frameworks: a study of advantages and limitations in hybridization, in: Proc. of IEEE World Congress on Computational Intelligence, Hong Kong, 2008, pp. 2135-2142.
    • (2008) Proc. of IEEE World Congress on Computational Intelligence , pp. 2135-2142
    • Neri, F.1    Tirronen, V.2
  • 93
    • 77951285978 scopus 로고    scopus 로고
    • Memetic compact differential evolution for Cartesian robot control
    • F. Neri, and E. Mininno Memetic compact differential evolution for Cartesian robot control IEEE Computational Intelligence Magazine 5 2 2010 54 65
    • (2010) IEEE Computational Intelligence Magazine , vol.5 , Issue.2 , pp. 54-65
    • Neri, F.1    Mininno, E.2
  • 94
    • 75149170039 scopus 로고    scopus 로고
    • Recent advances in differential evolution: A survey and experimental analysis
    • F. Neri, and V. Tirronen Recent advances in differential evolution: a survey and experimental analysis Artificial Intelligence Review 33 1-2 2010 61 106
    • (2010) Artificial Intelligence Review , vol.33 , Issue.12 , pp. 61-106
    • Neri, F.1    Tirronen, V.2
  • 95
    • 79953060187 scopus 로고    scopus 로고
    • Disturbed exploitation compact differential evolution for limited memory optimization problems
    • F. Neri, G. Iacca, and E. Mininno Disturbed exploitation compact differential evolution for limited memory optimization problems Information Sciences 181 12 2011 2469 2487
    • (2011) Information Sciences , vol.181 , Issue.12 , pp. 2469-2487
    • Neri, F.1    Iacca, G.2    Mininno, E.3
  • 96
    • 84855278833 scopus 로고    scopus 로고
    • Memetic algorithms and memetic computing optimization: A literature review
    • F. Neri, and C. Cotta Memetic algorithms and memetic computing optimization: a literature review Swarm and Evolutionary Computation 2 2012 1 14
    • (2012) Swarm and Evolutionary Computation , vol.2 , pp. 1-14
    • Neri, F.1    Cotta, C.2
  • 97
    • 36248948496 scopus 로고    scopus 로고
    • Inferring gene regulatory networks using differential evolution with local search heuristics
    • N. Noman, and H. Iba Inferring gene regulatory networks using differential evolution with local search heuristics IEEE - ACM Transactions on Computational Biology and Bioinformatics 4 4 2007 634 647
    • (2007) IEEE - ACM Transactions on Computational Biology and Bioinformatics , vol.4 , Issue.4 , pp. 634-647
    • Noman, N.1    Iba, H.2
  • 98
    • 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 Transactions on Evolutionary Computation 12 1 2008 107 125
    • (2008) IEEE Transactions on Evolutionary Computation , vol.12 , Issue.1 , pp. 107-125
    • Noman, N.1    Iba, H.2
  • 99
    • 84878264696 scopus 로고    scopus 로고
    • Searching for a practical evidence for the no free lunch theorems
    • Springer Lausanne, Switzerland
    • M. Oltean Searching for a practical evidence for the no free lunch theorems Bioinspired Approaches to Advanced Information Technology 2004 Springer Lausanne, Switzerland
    • (2004) Bioinspired Approaches to Advanced Information Technology
    • Oltean, M.1
  • 106
    • 0036608987 scopus 로고    scopus 로고
    • Biomimicry of bacterial foraging for distributed optimization and control
    • K.M. Passino Biomimicry of bacterial foraging for distributed optimization and control IEEE Control Systems Magazine 22 3 2002 52 67
    • (2002) IEEE Control Systems Magazine , vol.22 , Issue.3 , pp. 52-67
    • Passino, K.M.1
  • 108
    • 78650370220 scopus 로고    scopus 로고
    • Grouping differential evolution algorithm for multi-dimensional optimization problems
    • A.P. Piotrowski, and J.J. Napiorkowski Grouping differential evolution algorithm for multi-dimensional optimization problems Control and Cybernetics 39 2 2010 527 550
    • (2010) Control and Cybernetics , vol.39 , Issue.2 , pp. 527-550
    • Piotrowski, A.P.1    Napiorkowski, J.J.2
  • 109
    • 80052750975 scopus 로고    scopus 로고
    • Differential Evolution algorithm with separated groups for multi-dimensional optimization problems
    • A.P. Piotrowski, J.J. Napiorkowski, and A. Kiczko Differential Evolution algorithm with separated groups for multi-dimensional optimization problems European Journal of Operational Research 216 2012 33 46
    • (2012) European Journal of Operational Research , vol.216 , pp. 33-46
    • Piotrowski, A.P.1    Napiorkowski, J.J.2    Kiczko, A.3
  • 110
    • 84857041413 scopus 로고    scopus 로고
    • Corrigendum to: "differential evolution algorithm with separated groups for multi-dimensional optimization problems" [Eur. J. Oper. Res. 216 (2012) 33-46]
    • A.P. Piotrowski, J.J. Napiorkowski, and A. Kiczko Corrigendum to: "Differential evolution algorithm with separated groups for multi-dimensional optimization problems" [Eur. J. Oper. Res. 216 (2012) 33-46] European Journal of Operational Research 219 2012 488
    • (2012) European Journal of Operational Research , vol.219 , pp. 488
    • Piotrowski, A.P.1    Napiorkowski, J.J.2    Kiczko, A.3
  • 111
    • 81855199026 scopus 로고    scopus 로고
    • Comparison of evolutionary computation techniques for noise injected neural network training to estimate longitudinal dispersion coefficients in rivers
    • A.P. Piotrowski, P.M. Rowinski, and J.J. Napiorkowski Comparison of evolutionary computation techniques for noise injected neural network training to estimate longitudinal dispersion coefficients in rivers Expert Systems with Applications 39 1 2012 1354 1361
    • (2012) Expert Systems with Applications , vol.39 , Issue.1 , pp. 1354-1361
    • Piotrowski, A.P.1    Rowinski, P.M.2    Napiorkowski, J.J.3
  • 112
    • 0042163579 scopus 로고    scopus 로고
    • An introduction to differential evolution
    • McGraw-Hill London, UK
    • K.V. Price An introduction to differential evolution New Ideas in Optimization 1999 McGraw-Hill London, UK
    • (1999) New Ideas in Optimization
    • Price, K.V.1
  • 113
    • 27144490895 scopus 로고    scopus 로고
    • A Practical Approach to Global Optimization Springer-Verlag Berlin, Heidelberg
    • K.V. Price, R.M. Storn, and J.A. Lampinen Differential Evolution A Practical Approach to Global Optimization 2005 Springer-Verlag Berlin, Heidelberg
    • (2005) Differential Evolution
    • Price, K.V.1    Storn, R.M.2    Lampinen, J.A.3
  • 115
    • 59649083826 scopus 로고    scopus 로고
    • Differential evolution algorithm with strategy adaptation for global numerical optimization
    • A.K. Qin, V.L. Huang, and P.N. Suganthan Differential evolution algorithm with strategy adaptation for global numerical optimization IEEE Transactions on Evolutionary Computation 13 2 2009 398 417
    • (2009) IEEE Transactions on Evolutionary Computation , vol.13 , Issue.2 , pp. 398-417
    • Qin, A.K.1    Huang, V.L.2    Suganthan, P.N.3
  • 117
    • 0001723141 scopus 로고
    • An automated method for finding the greatest or least value of a function
    • H.H. Rosenbrock An automated method for finding the greatest or least value of a function Computer Journal 3 3 1960 175 184
    • (1960) Computer Journal , vol.3 , Issue.3 , pp. 175-184
    • Rosenbrock, H.H.1
  • 119
    • 0029768771 scopus 로고    scopus 로고
    • Re-evaluating genetic algorithm performance under coordinate rotation on benchmark functions. A survey of some theoretical and practical aspects of genetic algorithms
    • R. Salomon Re-evaluating genetic algorithm performance under coordinate rotation on benchmark functions. A survey of some theoretical and practical aspects of genetic algorithms BioSystems 39 1996 263 278
    • (1996) BioSystems , vol.39 , pp. 263-278
    • Salomon, R.1
  • 122
    • 74349104667 scopus 로고    scopus 로고
    • Ausonius' Juvenal and the Winstedt fragment
    • J.D. Sosin Ausonius' Juvenal and the Winstedt fragment Classical Philology 95 2 2000 199 206
    • (2000) Classical Philology , vol.95 , Issue.2 , pp. 199-206
    • Sosin, J.D.1
  • 123
    • 0003853519 scopus 로고
    • Differential Evolution - A Simple and Efficient Adaptive Scheme for Global Optimization over Continuous Spaces
    • International Computer Sciences Institute, Berkeley, California, USA
    • R. Storn, K.V. Price, Differential Evolution - A Simple and Efficient Adaptive Scheme for Global Optimization Over Continuous Spaces, Tech. Report TR-95-012, International Computer Sciences Institute, Berkeley, California, USA, 1995.
    • (1995) Tech. Report TR-95-012
    • Storn, R.1    Price, K.V.2
  • 124
    • 0142000477 scopus 로고    scopus 로고
    • Differential evolution - A simple and efficient heuristic for global optimization over continuous spaces
    • R. Storn, and K.V. Price Differential evolution - a simple and efficient heuristic for global optimization over continuous spaces Journal of Global Optimization 11 4 1997 341 359
    • (1997) Journal of Global Optimization , vol.11 , Issue.4 , pp. 341-359
    • Storn, R.1    Price, K.V.2
  • 125
    • 35248854389 scopus 로고    scopus 로고
    • Two broad classes of functions for which a no free lunch result does not hold
    • M.J. Streeter, Two broad classes of functions for which a no free lunch result does not hold, in: Proc. Genet. Evolut. Comput. Conf., 2003, pp. 1418-1430.
    • (2003) Proc. Genet. Evolut. Comput. Conf. , pp. 1418-1430
    • Streeter, M.J.1
  • 129
    • 60949097350 scopus 로고    scopus 로고
    • Self-adaptive population sizing for a tune-free differential evolution
    • N.S. Teng, J. Teo, and M.H.A. Hijazi Self-adaptive population sizing for a tune-free differential evolution Soft Computing 13 7 2009 709 724
    • (2009) Soft Computing , vol.13 , Issue.7 , pp. 709-724
    • Teng, N.S.1    Teo, J.2    Hijazi, M.H.A.3
  • 130
    • 33645822323 scopus 로고    scopus 로고
    • Exploring dynamic self-adaptive populations in differential evolution
    • J. Teo Exploring dynamic self-adaptive populations in differential evolution Soft Computing 11 8 2006 673 686
    • (2006) Soft Computing , vol.11 , Issue.8 , pp. 673-686
    • Teo, J.1
  • 131
    • 32444431946 scopus 로고    scopus 로고
    • An adaptive pursuit strategy for allocating operator probabilities
    • D. Thierens, An adaptive pursuit strategy for allocating operator probabilities, in: Proc. Genet. Evol. Comput. Conf., 2005, pp. 1539-1546.
    • (2005) Proc. Genet. Evol. Comput. Conf. , pp. 1539-1546
    • Thierens, D.1
  • 132
    • 57349161482 scopus 로고    scopus 로고
    • An enhanced memetic differential evolution in filter design for defect detection in paper production
    • V. Tirronen, F. Neri, T. Karkkainen, K. Majava, and T. Rossi An enhanced memetic differential evolution in filter design for defect detection in paper production Evolutionary Computation 16 4 2008 529 555
    • (2008) Evolutionary Computation , vol.16 , Issue.4 , pp. 529-555
    • Tirronen, V.1    Neri, F.2    Karkkainen, T.3    Majava, K.4    Rossi, T.5
  • 133
    • 65749114058 scopus 로고    scopus 로고
    • Differential evolution with fitness diversity self-adaptation
    • Springer-Verlag Berlin, Heidelberg
    • V. Tirronen, and F. Neri Differential evolution with fitness diversity self-adaptation Nature-Inspired Algorithms for Optimisation SCI 193 2009 Springer-Verlag Berlin, Heidelberg 199 234
    • (2009) Nature-Inspired Algorithms for Optimisation , vol.193 SCI , pp. 199-234
    • Tirronen, V.1    Neri, F.2
  • 134
    • 78650282967 scopus 로고    scopus 로고
    • Differential evolution for optimizing the positioning of prototypes in nearest neighbor classification
    • I. Triguero, S. Garcia, and F. Herrera Differential evolution for optimizing the positioning of prototypes in nearest neighbor classification Pattern Recognition 44 4 2011 901 916
    • (2011) Pattern Recognition , vol.44 , Issue.4 , pp. 901-916
    • Triguero, I.1    Garcia, S.2    Herrera, F.3
  • 135
    • 83555163887 scopus 로고    scopus 로고
    • Self-adaptive randomized and rank-based differential evolution for multimodal problems
    • O. Urfalioglu, and O. Arikan Self-adaptive randomized and rank-based differential evolution for multimodal problems Journal of Global Optimization 51 4 2011 607 640
    • (2011) Journal of Global Optimization , vol.51 , Issue.4 , pp. 607-640
    • Urfalioglu, O.1    Arikan, O.2
  • 136
    • 84858450815 scopus 로고    scopus 로고
    • Solving dynamic economic dispatch problem with security constraints using bacterial foraging PSO-DE algorithm
    • K. Vaisakh, P. Praveena, S. Rama Mohana Rao, and Kala Maeh Solving dynamic economic dispatch problem with security constraints using bacterial foraging PSO-DE algorithm Electrical Power and Energy Systems 39 2012 56 67
    • (2012) Electrical Power and Energy Systems , vol.39 , pp. 56-67
    • Vaisakh, K.1    Praveena, P.2    Rama Mohana Rao, S.3    Maeh, K.4
  • 137
    • 84857064272 scopus 로고    scopus 로고
    • MEMPSODE: A global optimization software based on hybridization of population-based algorithms and local searches
    • C. Voglis, K.E. Parsopoulos, D.G. Papageorgiou, I.E. Lagaris, and M.N. Vrahatis MEMPSODE: a global optimization software based on hybridization of population-based algorithms and local searches Computer Physics Communications 183 5 2012 1139 1154
    • (2012) Computer Physics Communications , vol.183 , Issue.5 , pp. 1139-1154
    • Voglis, C.1    Parsopoulos, K.E.2    Papageorgiou, D.G.3    Lagaris, I.E.4    Vrahatis, M.N.5
  • 138
  • 139
    • 79952003746 scopus 로고    scopus 로고
    • Differential evolution with composite trial vector generation strategies and control parameters
    • Y. Wang, Z. Cai, and Q. Zhang Differential evolution with composite trial vector generation strategies and control parameters IEEE Transactions on Evolutionary Computation 15 1 2011 55 66
    • (2011) IEEE Transactions on Evolutionary Computation , vol.15 , Issue.1 , pp. 55-66
    • Wang, Y.1    Cai, Z.2    Zhang, Q.3
  • 140
    • 84855886643 scopus 로고    scopus 로고
    • A coevolutionary differential evolution with harmony search for reliability-redundancy optimization
    • L. Wang, and L.P. Li A coevolutionary differential evolution with harmony search for reliability-redundancy optimization Expert Systems with Applications 39 5 2012 5271 5278
    • (2012) Expert Systems with Applications , vol.39 , Issue.5 , pp. 5271-5278
    • Wang, L.1    Li, L.P.2
  • 141
    • 80755186925 scopus 로고    scopus 로고
    • Enhancing the search ability of differential evolution through orthogonal crossover
    • Y. Wang, Z. Cai, and Q. Zhang Enhancing the search ability of differential evolution through orthogonal crossover Information Sciences 185 1 2012 153 177
    • (2012) Information Sciences , vol.185 , Issue.1 , pp. 153-177
    • Wang, Y.1    Cai, Z.2    Zhang, Q.3
  • 142
    • 70449523257 scopus 로고    scopus 로고
    • Distributed differential evolution with explorative-exploitative population families
    • M. Weber, F. Neri, and V. Tirronen Distributed differential evolution with explorative-exploitative population families Genetic Programming and Evolvable Machines 10 4 2009 343 371
    • (2009) Genetic Programming and Evolvable Machines , vol.10 , Issue.4 , pp. 343-371
    • Weber, M.1    Neri, F.2    Tirronen, V.3
  • 143
    • 84864685316 scopus 로고    scopus 로고
    • Scale factor inheritance mechanism in distributed differential evolution
    • M. Weber, V. Tirronen, and F. Neri Scale factor inheritance mechanism in distributed differential evolution Soft Computing 14 11 2010 1187 1207
    • (2010) Soft Computing , vol.14 , Issue.11 , pp. 1187-1207
    • Weber, M.1    Tirronen, V.2    Neri, F.3
  • 144
    • 79953046890 scopus 로고    scopus 로고
    • A study on scale factor in distributed differential evolution
    • M. Weber, F. Neri, and V. Tirronen A study on scale factor in distributed differential evolution Information Sciences 181 12 2011 2488 2511
    • (2011) Information Sciences , vol.181 , Issue.12 , pp. 2488-2511
    • Weber, M.1    Neri, F.2    Tirronen, V.3
  • 145
    • 80053990412 scopus 로고    scopus 로고
    • Shuffle or update parallel differential evolution for large-scale optimization
    • M. Weber, F. Neri, and V. Tirronen Shuffle or update parallel differential evolution for large-scale optimization Soft Computing 15 2011 2089 2107
    • (2011) Soft Computing , vol.15 , pp. 2089-2107
    • Weber, M.1    Neri, F.2    Tirronen, V.3
  • 146
  • 148
    • 0001884644 scopus 로고
    • Individual comparisons by ranking methods
    • F. Wilcoxon Individual comparisons by ranking methods Biometrics Bulletin 1 6 1945 80 83
    • (1945) Biometrics Bulletin , vol.1 , Issue.6 , pp. 80-83
    • Wilcoxon, F.1
  • 153
    • 67349171026 scopus 로고    scopus 로고
    • Influence of crossover on the behavior of differential evolution algorithms
    • D. Zaharie Influence of crossover on the behavior of differential evolution algorithms Applied Soft Computing 9 3 2009 1126 1138
    • (2009) Applied Soft Computing , vol.9 , Issue.3 , pp. 1126-1138
    • Zaharie, D.1
  • 155
    • 44949228312 scopus 로고    scopus 로고
    • Differential evolution with dynamic stochastic selection for constrained optimization
    • M. Zhang, W. Luo, and X.F. Wang Differential evolution with dynamic stochastic selection for constrained optimization Information Sciences 178 15 2008 3043 3074
    • (2008) Information Sciences , vol.178 , Issue.15 , pp. 3043-3074
    • Zhang, M.1    Luo, W.2    Wang, X.F.3
  • 156
    • 70349860273 scopus 로고    scopus 로고
    • JADE: Adaptive differential evolution with optional external archive
    • J. Zhang, and A.C. Sanderson JADE: adaptive differential evolution with optional external archive IEEE Transactions on Evolutionary Computation 13 5 2009 945 958
    • (2009) IEEE Transactions on Evolutionary Computation , vol.13 , Issue.5 , pp. 945-958
    • Zhang, J.1    Sanderson, A.C.2
  • 157
    • 80054000522 scopus 로고    scopus 로고
    • Self-adaptive differential evolution with multi-trajectory search for large-scale optimization
    • S.Z. Zhao, P.N. Suganthan, and S. Das Self-adaptive differential evolution with multi-trajectory search for large-scale optimization Soft Computing 15 11 2011 2175 2185
    • (2011) Soft Computing , vol.15 , Issue.11 , pp. 2175-2185
    • Zhao, S.Z.1    Suganthan, P.N.2    Das, S.3
  • 158
    • 80755125913 scopus 로고    scopus 로고
    • Using a grey model optimized by differential evolution algorithm to forecast the per capita annual net income of rural households in China
    • Z. Zhao, J.Z. Wang, J. Zhao, and Z.Y. Su Using a grey model optimized by differential evolution algorithm to forecast the per capita annual net income of rural households in China OMEGA - International Journal of Management Science 40 5 2012 525 532
    • (2012) OMEGA - International Journal of Management Science , vol.40 , Issue.5 , pp. 525-532
    • Zhao, Z.1    Wang, J.Z.2    Zhao, J.3    Su, Z.Y.4
  • 159
    • 84875230121 scopus 로고    scopus 로고
    • Empirical investigations into the exponential crossover of differential evolutions
    • S.Z. Zhao, and P.N. Suganthan Empirical investigations into the exponential crossover of differential evolutions Swarm and Evolutionary Computation 9 2013 27 36
    • (2013) Swarm and Evolutionary Computation , vol.9 , pp. 27-36
    • Zhao, S.Z.1    Suganthan, P.N.2
  • 160
    • 84870241188 scopus 로고    scopus 로고
    • Adaptive population tuning scheme for differential evolution
    • W. Zhu, Y. Tang, J.A. Fang, and W. Zhang Adaptive population tuning scheme for differential evolution Information Sciences 223 2012 164 191
    • (2012) Information Sciences , vol.223 , pp. 164-191
    • Zhu, W.1    Tang, Y.2    Fang, J.A.3    Zhang, W.4


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