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Volumn 20, Issue 1, 2016, Pages 273-285

Hybridizing harmony search algorithm with cuckoo search for global numerical optimization

Author keywords

Cuckoo search (CS); Global optimization problem; Harmony search (HS); Pitch adjustment operation

Indexed keywords

ALGORITHMS; GLOBAL OPTIMIZATION;

EID: 84952980775     PISSN: 14327643     EISSN: 14337479     Source Type: Journal    
DOI: 10.1007/s00500-014-1502-7     Document Type: Article
Times cited : (231)

References (53)
  • 2
    • 84856482921 scopus 로고    scopus 로고
    • Optimum design of unbraced steel frames to LRFD-AISC using particle swarm optimization
    • Doǧan E, Saka MP (2012) Optimum design of unbraced steel frames to LRFD-AISC using particle swarm optimization. Adv Eng Softw 46(1):27–34. doi:10.1016/j.advengsoft.2011.05.008
    • (2012) Adv Eng Softw , vol.46 , Issue.1 , pp. 27-34
    • Doǧan, E.1    Saka, M.P.2
  • 4
    • 84905108564 scopus 로고    scopus 로고
    • Interior search algorithm (ISA): a novel approach for global optimization
    • Gandomi AH (2014) Interior search algorithm (ISA): a novel approach for global optimization. ISA Trans 53(4):1168–1183. doi:10.1016/j.isatra.2014.03.018
    • (2014) ISA Trans , vol.53 , Issue.4 , pp. 1168-1183
    • Gandomi, A.H.1
  • 5
    • 85013698412 scopus 로고    scopus 로고
    • Metaheuristic applications in structures and infrastructures
    • Elsevier, Waltham
    • Gandomi AH, Yang XS, Talatahari S, Alavi AH (2013a) Metaheuristic applications in structures and infrastructures. Elsevier, Waltham
    • (2013)
    • Gandomi, A.H.1    Yang, X.S.2    Talatahari, S.3    Alavi, A.H.4
  • 7
    • 84876429943 scopus 로고    scopus 로고
    • Bat algorithm for constrained optimization tasks
    • Gandomi AH, Yang X-S, Alavi AH, Talatahari S (2013c) Bat algorithm for constrained optimization tasks. Neural Comput Appl 22(6):1239–1255. doi:10.1007/s00521-012-1028-9
    • (2013) Neural Comput Appl , vol.22 , Issue.6 , pp. 1239-1255
    • Gandomi, A.H.1    Yang, X.-S.2    Alavi, A.H.3    Talatahari, S.4
  • 8
    • 84872341489 scopus 로고    scopus 로고
    • Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems
    • Gandomi AH, Yang X-S, Alavi AH (2013d) Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems. Eng Comput 29(1):17–35. doi:10.1007/s00366-011-0241-y
    • (2013) Eng Comput , vol.29 , Issue.1 , pp. 17-35
    • Gandomi, A.H.1    Yang, X.-S.2    Alavi, A.H.3
  • 9
    • 84886439592 scopus 로고    scopus 로고
    • Design optimization of truss structures using cuckoo search algorithm
    • Gandomi AH, Talatahari S, Yang X-S, Deb S (2013e) Design optimization of truss structures using cuckoo search algorithm. Struct Des Tall Spec Build 22(17):1330–1349. doi:10.1002/tal.1033
    • (2013) Struct Des Tall Spec Build , vol.22 , Issue.17 , pp. 1330-1349
    • Gandomi, A.H.1    Talatahari, S.2    Yang, X.-S.3    Deb, S.4
  • 10
    • 84864403130 scopus 로고    scopus 로고
    • Krill herd: a new bio-inspired optimization algorithm
    • Gandomi AH, Alavi AH (2012) Krill herd: a new bio-inspired optimization algorithm. Commun Nonlinear Sci Numer Simulat 17(12):4831–4845. doi:10.1016/j.cnsns.2012.05.010
    • (2012) Commun Nonlinear Sci Numer Simulat , vol.17 , Issue.12 , pp. 4831-4845
    • Gandomi, A.H.1    Alavi, A.H.2
  • 11
    • 83655192565 scopus 로고    scopus 로고
    • Coupled eagle strategy and differential evolution for unconstrained and constrained global optimization
    • Gandomi AH, Yang X-S, Talatahari S, Deb S (2012) Coupled eagle strategy and differential evolution for unconstrained and constrained global optimization. Comput Math Appl 63(1):191–200. doi:10.1016/j.camwa.2011.11.010
    • (2012) Comput Math Appl , vol.63 , Issue.1 , pp. 191-200
    • Gandomi, A.H.1    Yang, X.-S.2    Talatahari, S.3    Deb, S.4
  • 12
    • 77954084971 scopus 로고    scopus 로고
    • Evaluating a local genetic algorithm as context-independent local search operator for metaheuristics
    • García-Martínez C, Lozano M (2010) Evaluating a local genetic algorithm as context-independent local search operator for metaheuristics. Soft Comput 14(10):1117–1139
    • (2010) Soft Comput , vol.14 , Issue.10 , pp. 1117-1139
    • García-Martínez, C.1    Lozano, M.2
  • 13
    • 0034974417 scopus 로고    scopus 로고
    • A new heuristic optimization algorithm: harmony search
    • Geem ZW, Kim JH, Loganathan GV (2001) A new heuristic optimization algorithm: harmony search. Simulation 76(2):60–68. doi:10.1177/003754970107600201
    • (2001) Simulation , vol.76 , Issue.2 , pp. 60-68
    • Geem, Z.W.1    Kim, J.H.2    Loganathan, G.V.3
  • 15
    • 84899930053 scopus 로고    scopus 로고
    • A new improved krill herd algorithm for global numerical optimization
    • Guo L, Wang G-G, Gandomi AH, Alavi AH, Duan H (2014) A new improved krill herd algorithm for global numerical optimization. Neurocomputing. doi:10.1016/j.neucom.2014.01.023
    • (2014) Neurocomputing
    • Guo, L.1    Wang, G.-G.2    Gandomi, A.H.3    Alavi, A.H.4    Duan, H.5
  • 16
    • 0029535737 scopus 로고
    • Particle swarm optimization. Paper presented at the Proceeding of the IEEE international conference on neural networks, Perth, Australia
    • Kennedy J, Eberhart R (1995) Particle swarm optimization. Paper presented at the Proceeding of the IEEE international conference on neural networks, Perth, Australia, 27 Nov–1 Dec
    • (1995) 27 Nov–1 Dec
    • Kennedy, J.1    Eberhart, R.2
  • 18
    • 79960836443 scopus 로고    scopus 로고
    • A perturb biogeography based optimization with mutation for global numerical optimization
    • Li X, Wang J, Zhou J, Yin M (2011) A perturb biogeography based optimization with mutation for global numerical optimization. Appl Math Comput 218(2):598–609. doi:10.1016/j.amc.2011.05.110
    • (2011) Appl Math Comput , vol.218 , Issue.2 , pp. 598-609
    • Li, X.1    Wang, J.2    Zhou, J.3    Yin, M.4
  • 19
    • 84879688364 scopus 로고    scopus 로고
    • Accelerating a recurrent neural network to finite-time convergence for solving time-varying Sylvester equation by Using a Sign-Bi-power Activation Function
    • Li S, Chen S, Liu B (2012) Accelerating a recurrent neural network to finite-time convergence for solving time-varying Sylvester equation by Using a Sign-Bi-power Activation Function. Neural Process Lett 37(2):189–205. doi:10.1007/s11063-012-9241-1
    • (2012) Neural Process Lett , vol.37 , Issue.2 , pp. 189-205
    • Li, S.1    Chen, S.2    Liu, B.3
  • 20
    • 84902253889 scopus 로고    scopus 로고
    • Parameter estimation for chaotic systems by hybrid differential evolution algorithm and artificial bee colony algorithm
    • Li X, Yin M (2014) Parameter estimation for chaotic systems by hybrid differential evolution algorithm and artificial bee colony algorithm. Nonlinear Dyn 77(1–2):61–71. doi:10.1007/s11071-014-1273-9
    • (2014) Nonlinear Dyn , vol.77 , Issue.1-2 , pp. 61-71
    • Li, X.1    Yin, M.2
  • 21
    • 84898481967 scopus 로고    scopus 로고
    • Fast and robust data association using posterior based approximate joint compatibility test
    • Li Y, Li S, Song Q, Liu H, Meng MQH (2014) Fast and robust data association using posterior based approximate joint compatibility test. IEEE Trans Ind Inform 10(1):331–339. doi:10.1109/TII.2013.2271506
    • (2014) IEEE Trans Ind Inform , vol.10 , Issue.1 , pp. 331-339
    • Li, Y.1    Li, S.2    Song, Q.3    Liu, H.4    Meng, M.Q.H.5
  • 22
    • 84904628819 scopus 로고    scopus 로고
    • Nonlinearly activated neural network for solving time-varying complex Sylvester equation
    • Li S, Li Y (2014) Nonlinearly activated neural network for solving time-varying complex Sylvester equation. IEEE Trans Cybern 44(8):1397–1407. doi:10.1109/TCYB.2013.2285166
    • (2014) IEEE Trans Cybern , vol.44 , Issue.8 , pp. 1397-1407
    • Li, S.1    Li, Y.2
  • 23
    • 84897986751 scopus 로고    scopus 로고
    • Enhancing the performance of cuckoo search algorithm using orthogonal learning method
    • Li X, Wang J, Yin M (2013a) Enhancing the performance of cuckoo search algorithm using orthogonal learning method. Neural Comput Appl 24(6):1233–1247. doi:10.1007/s00521-013-1354-6
    • (2013) Neural Comput Appl , vol.24 , Issue.6 , pp. 1233-1247
    • Li, X.1    Wang, J.2    Yin, M.3
  • 24
    • 84886865748 scopus 로고    scopus 로고
    • Selective positive–negative feedback produces the winner-take-all competition in recurrent neural networks
    • Li S, Liu B, Li Y (2013b) Selective positive–negative feedback produces the winner-take-all competition in recurrent neural networks. IEEE Trans Neural Netw Learn Syst 24(2):301–309. doi:10.1109/TNNLS.2012.2230451
    • (2013) IEEE Trans Neural Netw Learn Syst , vol.24 , Issue.2 , pp. 301-309
    • Li, S.1    Liu, B.2    Li, Y.3
  • 25
    • 84872656700 scopus 로고    scopus 로고
    • A class of finite-time dual neural networks for solving quadratic programming problems and its k-winners-take-all application
    • Li S, Li Y, Wang Z (2013c) A class of finite-time dual neural networks for solving quadratic programming problems and its k-winners-take-all application. Neural Netw 39:27–39. doi:10.1016/j.neunet.2012.12.009
    • (2013) Neural Netw , vol.39 , pp. 27-39
    • Li, S.1    Li, Y.2    Wang, Z.3
  • 26
    • 84884512180 scopus 로고    scopus 로고
    • Animal migration optimization: an optimization algorithm inspired by animal migration behavior
    • Li X, Zhang J, Yin M (2013d) Animal migration optimization: an optimization algorithm inspired by animal migration behavior. Neural Comput Appl 24(7–8):1867–1877. doi:10.1007/s00521-013-1433-8
    • (2013) Neural Comput Appl , vol.24 , Issue.7-8 , pp. 1867-1877
    • Li, X.1    Zhang, J.2    Yin, M.3
  • 27
    • 84871104342 scopus 로고    scopus 로고
    • Application of differential evolution algorithm on self-potential data
    • Li X, Yin M (2012a) Application of differential evolution algorithm on self-potential data. PLoS ONE 7(12):e51199. doi:10.1371/journal.pone.0051199
    • (2012) PLoS ONE , vol.7 , Issue.12 , pp. 51199
    • Li, X.1    Yin, M.2
  • 28
    • 84893925523 scopus 로고    scopus 로고
    • Self-adaptive constrained artificial bee colony for constrained numerical optimization
    • Li X, Yin M (2012b) Self-adaptive constrained artificial bee colony for constrained numerical optimization. Neural Comput Appl 24(3–4):723–734. doi:10.1007/s00521-012-1285-7
    • (2012) Neural Comput Appl , vol.24 , Issue.3-4 , pp. 723-734
    • Li, X.1    Yin, M.2
  • 29
    • 84867753124 scopus 로고    scopus 로고
    • An opposition-based differential evolution algorithm for permutation flow shop scheduling based on diversity measure
    • Li X, Yin M (2013a) An opposition-based differential evolution algorithm for permutation flow shop scheduling based on diversity measure. Adv Eng Softw 55:10–31. doi:10.1016/j.advengsoft.2012.09.003
    • (2013) Adv Eng Softw , vol.55 , pp. 10-31
    • Li, X.1    Yin, M.2
  • 30
    • 84892415597 scopus 로고    scopus 로고
    • Multiobjective binary biogeography based optimization for feature selection using gene expression data
    • Li X, Yin M (2013b) Multiobjective binary biogeography based optimization for feature selection using gene expression data. IEEE Trans Nanobiosci 12(4):343–353. doi:10.1109/TNB.2013.2294716
    • (2013) IEEE Trans Nanobiosci , vol.12 , Issue.4 , pp. 343-353
    • Li, X.1    Yin, M.2
  • 32
    • 84862858496 scopus 로고    scopus 로고
    • Training feedforward neural networks using hybrid particle swarm optimization and gravitational search algorithm
    • Mirjalili S, Mohd Hashim SZ, Moradian Sardroudi H (2012) Training feedforward neural networks using hybrid particle swarm optimization and gravitational search algorithm. Appl Math Comput 218(22):11125–11137. doi:10.1016/j.amc.2012.04.069
    • (2012) Appl Math Comput , vol.218 , Issue.22 , pp. 11125-11137
    • Mirjalili, S.1    Mohd Hashim, S.Z.2    Moradian Sardroudi, H.3
  • 33
    • 84875210170 scopus 로고    scopus 로고
    • S-Shaped versus V-shaped transfer functions for binary particle swarm optimization
    • Mirjalili S, Lewis A (2013) S-Shaped versus V-shaped transfer functions for binary particle swarm optimization. Swarm Evolut Comput 9:1–14. doi:10.1016/j.swevo.2012.09.002
    • (2013) Swarm Evolut Comput , vol.9 , pp. 1-14
    • Mirjalili, S.1    Lewis, A.2
  • 36
    • 84897064334 scopus 로고    scopus 로고
    • Let a biogeography-based optimizer train your multi-layer perceptron
    • Mirjalili S, Mirjalili SM, Lewis A (2014b) Let a biogeography-based optimizer train your multi-layer perceptron. Inf Sci 269:188–209. doi:10.1016/j.ins.2014.01.038
    • (2014) Inf Sci , vol.269 , pp. 188-209
    • Mirjalili, S.1    Mirjalili, S.M.2    Lewis, A.3
  • 37
    • 40849115183 scopus 로고    scopus 로고
    • Global-best harmony search
    • Omran MGH, Mahdavi M (2008) Global-best harmony search. Appl Math Comput 198(2):643–656. doi:10.1016/j.amc.2007.09.004
    • (2008) Appl Math Comput , vol.198 , Issue.2 , pp. 643-656
    • Omran, M.G.H.1    Mahdavi, M.2
  • 38
    • 37249011258 scopus 로고    scopus 로고
    • Solving a bi-criteria permutation flow-shop problem using shuffled frog-leaping algorithm
    • Rahimi-Vahed A, Mirzaei A (2008) Solving a bi-criteria permutation flow-shop problem using shuffled frog-leaping algorithm. Soft Comput 12(5):435–452. doi:10.1007/s00500-007-0210-y
    • (2008) Soft Comput , vol.12 , Issue.5 , pp. 435-452
    • Rahimi-Vahed, A.1    Mirzaei, A.2
  • 39
    • 57249115093 scopus 로고    scopus 로고
    • Biogeography-based optimization
    • Simon D (2008) Biogeography-based optimization. IEEE Trans Evolut Comput 12(6):702–713. doi:10.1109/TEVC.2008.919004
    • (2008) IEEE Trans Evolut Comput , vol.12 , Issue.6 , pp. 702-713
    • Simon, D.1
  • 41
    • 0142000477 scopus 로고    scopus 로고
    • Storn R, Price K (1997) Differential evolution-a simple and efficient heuristic for global optimization over continuous spaces. J Glob Optim 11(4):341–359
    • Storn R, Price K (1997) Differential evolution-a simple and efficient heuristic for global optimization over continuous spaces. J Glob Optim 11(4):341–359. doi:10.1023/A:1008202821328
  • 42
    • 85027928606 scopus 로고    scopus 로고
    • Hybrid krill herd algorithm with differential evolution for global numerical optimization
    • Wang G-G, Gandomi AH, Alavi AH, Hao G-S (2013a) Hybrid krill herd algorithm with differential evolution for global numerical optimization. Neural Comput Appl 25(2):297–308. doi:10.1007/s00521-013-1485-9
    • (2013) Neural Comput Appl , vol.25 , Issue.2 , pp. 297-308
    • Wang, G.-G.1    Gandomi, A.H.2    Alavi, A.H.3    Hao, G.-S.4
  • 43
    • 84898548583 scopus 로고    scopus 로고
    • An effective krill herd algorithm with migration operator in biogeography-based optimization
    • Wang G-G, Gandomi AH, Alavi AH (2013b) An effective krill herd algorithm with migration operator in biogeography-based optimization. Appl Math Model 38(9–10):2454–2462. doi:10.1016/j.apm.2013.10.052
    • (2013) Appl Math Model , vol.38 , Issue.9-10 , pp. 2454-2462
    • Wang, G.-G.1    Gandomi, A.H.2    Alavi, A.H.3
  • 44
    • 84886892281 scopus 로고    scopus 로고
    • Hybridizing harmony search with biogeography based optimization for global numerical optimization
    • Wang G, Guo L, Duan H, Wang H, Liu L, Shao M (2013c) Hybridizing harmony search with biogeography based optimization for global numerical optimization. J Comput Theor Nanosci 10(10):2318–2328. doi:10.1166/jctn.2013.3207
    • (2013) J Comput Theor Nanosci , vol.10 , Issue.10 , pp. 2318-2328
    • Wang, G.1    Guo, L.2    Duan, H.3    Wang, H.4    Liu, L.5    Shao, M.6
  • 46
    • 84884521545 scopus 로고    scopus 로고
    • Incorporating mutation scheme into krill herd algorithm for global numerical optimization
    • Wang G, Guo L, Wang H, Duan H, Liu L, Li J (2014b) Incorporating mutation scheme into krill herd algorithm for global numerical optimization. Neural Comput Appl 24(3–4):853–871. doi:10.1007/s00521-012-1304-8
    • (2014) Neural Comput Appl , vol.24 , Issue.3-4 , pp. 853-871
    • Wang, G.1    Guo, L.2    Wang, H.3    Duan, H.4    Liu, L.5    Li, J.6
  • 47
    • 84893641121 scopus 로고    scopus 로고
    • Stud krill herd algorithm
    • Wang G-G, Gandomi AH, Alavi AH (2014c) Stud krill herd algorithm. Neurocomputing 128:363–370. doi:10.1016/j.neucom.2013.08.031
    • (2014) Neurocomputing , vol.128 , pp. 363-370
    • Wang, G.-G.1    Gandomi, A.H.2    Alavi, A.H.3
  • 49
    • 77951675054 scopus 로고    scopus 로고
    • A new metaheuristic bat-inspired algorithm. In: Nature inspired cooperative strategies for optimization (NICSO 2010), studies in computational intelligence, vol 284. Springer, pp 65–74
    • Yang XS (2010a) A new metaheuristic bat-inspired algorithm. In: Nature inspired cooperative strategies for optimization (NICSO 2010), studies in computational intelligence, vol 284. Springer, pp 65–74. doi:10.1007/978-3-642-12538-6_6
    • (2010) doi:10.1007/978-3-642-12538-6_6
    • Yang, X.S.1
  • 51
    • 79961038349 scopus 로고    scopus 로고
    • Optimization algorithms. In: Koziel S, Yang X-S (eds) Computational optimization, methods and algorithms. Studies in computational intelligence, vol 356. Springer, Berlin, Heidelberg, pp 13–31
    • Yang XS (2011) Optimization algorithms. In: Koziel S, Yang X-S (eds) Computational optimization, methods and algorithms. Studies in computational intelligence, vol 356. Springer, Berlin, Heidelberg, pp 13–31. doi:10.1007/978-3-642-20859-1_2
    • (2011) doi:10.1007/978-3-642-20859-1_2
    • Yang, X.S.1
  • 52
    • 84858985277 scopus 로고    scopus 로고
    • Engineering optimisation by cuckoo search
    • Yang XS, Deb S (2010) Engineering optimisation by cuckoo search. Int J Math Model Numer Optim 1(4):330–343
    • (2010) Int J Math Model Numer Optim , vol.1 , Issue.4 , pp. 330-343
    • Yang, X.S.1    Deb, S.2
  • 53
    • 0032685734 scopus 로고    scopus 로고
    • Evolutionary programming made faster
    • Yao X, Liu Y, Lin G (1999) Evolutionary programming made faster. IEEE Trans Evolut Comput 3(2):82–102
    • (1999) IEEE Trans Evolut Comput , vol.3 , Issue.2 , pp. 82-102
    • Yao, X.1    Liu, Y.2    Lin, G.3


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