메뉴 건너뛰기




Volumn 89, Issue 23-24, 2011, Pages 2325-2336

Mixed variable structural optimization using Firefly Algorithm

Author keywords

Firefly Algorithm; Metaheuristic optimization; Mixed continuous discrete variable problems; Structural optimization

Indexed keywords

FIREFLY ALGORITHM; METAHEURISTIC OPTIMIZATION; MIXED CONTINUOUS-DISCRETE VARIABLE PROBLEMS; MIXED VARIABLES; SOCIAL BEHAVIOR; STRUCTURAL OPTIMIZATION PROBLEMS; TRADE-STUDY;

EID: 80055049702     PISSN: 00457949     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compstruc.2011.08.002     Document Type: Article
Times cited : (716)

References (55)
  • 3
    • 80055043441 scopus 로고    scopus 로고
    • Firefly algorithm, Lévy flights and global optimization
    • M. Bramer, Springer-Verlag London
    • X-S. Yang Firefly algorithm, Lévy flights and global optimization M. Bramer, Research and development in intelligent systems XXVI 2010 Springer-Verlag London 209 218
    • (2010) Research and Development in Intelligent Systems XXVI , pp. 209-218
    • Yang, X.-S.1
  • 4
    • 0034974417 scopus 로고    scopus 로고
    • A new heuristic optimization algorithm: Harmony search
    • Z.W. Geem, J.-H. Kim, and G.V. Loganathan A new heuristic optimization algorithm: harmony search Simulation 76 2 2001 60 68 (Pubitemid 32543074)
    • (2001) Simulation , vol.76 , Issue.2 , pp. 60-68
    • Geem, Z.W.1    Kim, J.H.2    Loganathan, G.V.3
  • 9
    • 84872341489 scopus 로고    scopus 로고
    • Cuckoo search algorithm: A metaheuristic approach to solve structural optimization problems
    • doi:10.1007/s00366-011-0241-y in press
    • Gandomi AH, Yang X-S, Alavi AH. Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems. Eng Comput, in press. doi:10.1007/s00366-011-0241-y.
    • Eng Comput
    • Gandomi, A.H.1    Yang, X.-S.2    Alavi, A.H.3
  • 10
    • 77957888627 scopus 로고    scopus 로고
    • A novel meta-heuristic optimization algorithm inspired by group hunting of animals: Hunting search
    • R. Oftadeh, M.J. Mahjoob, and M. Shariatpanahi A novel meta-heuristic optimization algorithm inspired by group hunting of animals: Hunting search Comput Math Appl 60 2010 2087 2098
    • (2010) Comput Math Appl , vol.60 , pp. 2087-2098
    • Oftadeh, R.1    Mahjoob, M.J.2    Shariatpanahi, M.3
  • 12
    • 80055047283 scopus 로고    scopus 로고
    • Bat algorithm: A novel approach for global engineering optimization
    • in press
    • Yang X-S, Gandomi AH. Bat algorithm: a novel approach for global engineering optimization. Memetic Comput. Eng Comput, in press.
    • Memetic Comput. Eng Comput
    • Yang, X.-S.1    Gandomi, A.H.2
  • 13
    • 26444479778 scopus 로고
    • Optimization by simulated annealing
    • S. Kirtrick, C.D. Gelatt, and M.P. Vecchi Optimization by simulated annealing Science 220 4598 1983 671 680
    • (1983) Science , vol.220 , Issue.4598 , pp. 671-680
    • Kirtrick, S.1    Gelatt, C.D.2    Vecchi, M.P.3
  • 14
    • 27544500819 scopus 로고    scopus 로고
    • Erol, Ibrahim Eksin, A new optimization method: Big Bang-Big Crunch
    • K. Osman Erol, Ibrahim Eksin, A new optimization method: Big Bang-Big Crunch Adv Eng Software 37 2 2006 106 111
    • (2006) Adv Eng Software , vol.37 , Issue.2 , pp. 106-111
    • Osman, K.1
  • 15
    • 78649758619 scopus 로고    scopus 로고
    • A novel heuristic optimization method: Charged system search
    • A. Kaveh, and S. Talatahari A novel heuristic optimization method: charged system search Acta Mech 213 2010 267 289
    • (2010) Acta Mech , vol.213 , pp. 267-289
    • Kaveh, A.1    Talatahari, S.2
  • 19
    • 0034159170 scopus 로고    scopus 로고
    • Use of a self-adaptive penalty approach for engineering optimization problems
    • C.A.C. Coello Use of a self-adaptive penalty approach for engineering optimization problems Comput Indus 41 2 2000 113 127
    • (2000) Comput Indus , vol.41 , Issue.2 , pp. 113-127
    • Coello, C.A.C.1
  • 20
    • 0032141490 scopus 로고    scopus 로고
    • Improved genetic operators for structural engineering optimization
    • PII S0965997898000210
    • J.P.B. Leite, and B.H.V. Topping Improved genetic operators for structural optimization Adv Eng Software 29 7-9 1998 529 562 (Pubitemid 128369531)
    • (1998) Advances in Engineering Software , vol.29 , Issue.7-9 , pp. 529-562
    • Leite, J.P.B.1    Topping, B.H.V.2
  • 21
    • 85003412907 scopus 로고
    • Optimal design of a welded beam via genetic algorithms
    • K. Deb Optimal design of a welded beam via genetic algorithms AIAA J 29 11 1991 2013 2015
    • (1991) AIAA J , vol.29 , Issue.11 , pp. 2013-2015
    • Deb, K.1
  • 23
    • 79955188444 scopus 로고    scopus 로고
    • A hybrid genetic algorithm for constrained optimization problems in mechanical engineering
    • H.S. Bernardino, H.J.C. Barbosa, and A.C.C. Lemonge A hybrid genetic algorithm for constrained optimization problems in mechanical engineering IEEE Congr Evolution Comput 2007 646 653
    • (2007) IEEE Congr Evolution Comput , pp. 646-653
    • Bernardino, H.S.1    Barbosa, H.J.C.2    Lemonge, A.C.C.3
  • 24
    • 0033700560 scopus 로고    scopus 로고
    • Simulated annealing and parallel processing: An implementation for constrained global design optimization
    • M. Atiqullah Mir, and S.S. Rao Simulated annealing and parallel processing: an implementation for constrained global design optimization Eng Optimiz 32 5 2000 659 685
    • (2000) Eng Optimiz , vol.32 , Issue.5 , pp. 659-685
    • Atiqullah Mir, M.1    Rao, S.S.2
  • 25
    • 33746031813 scopus 로고    scopus 로고
    • Derivative-free filter simulated annealing method for constrained continuous global optimization
    • A.R. Hedar, and M. Fukushima Derivative-free filter simulated annealing method for constrained continuous global optimization J Global Optimiz 35 4 2006 521 649
    • (2006) J Global Optimiz , vol.35 , Issue.4 , pp. 521-649
    • Hedar, A.R.1    Fukushima, M.2
  • 26
    • 22144485523 scopus 로고    scopus 로고
    • Novel orthogonal simulated annealing with fractional factorial analysis to solve global optimization problems
    • J.-L. Liu Novel orthogonal simulated annealing with fractional factorial analysis to solve global optimization problems Eng Optimiz 37 5 2005 499 519
    • (2005) Eng Optimiz , vol.37 , Issue.5 , pp. 499-519
    • Liu, J.-L.1
  • 27
    • 33644678826 scopus 로고    scopus 로고
    • A hybrid real-parameter genetic algorithm for function optimization
    • DOI 10.1016/j.aei.2005.09.001, PII S1474034605000807
    • S.-F. Hwang, and R.-S. He A hybrid real-parameter genetic algorithm for function optimization Adv Eng Inform 20 2006 7 21 (Pubitemid 43332808)
    • (2006) Advanced Engineering Informatics , vol.20 , Issue.1 , pp. 7-21
    • Hwang, S.-F.1    He, R.-S.2
  • 28
    • 26844445319 scopus 로고    scopus 로고
    • Unified Particle Swarm Optimization for solving constrained engineering optimization problems
    • Advances in Natural Computation: First International Conference, ICNC 2005. Proceedings
    • Parsopoulos KE, Vrahatis MN. Unified particle swarm optimization for solving constrained engineering optimization problems. Lecture Notes in Computer Science 3612 (LNFA), 2005. p. 582-91. (Pubitemid 41449622)
    • (2005) Lecture Notes in Computer Science , vol.3612 , Issue.PART III , pp. 582-591
    • Parsopoulos, K.E.1    Vrahatis, M.N.2
  • 29
    • 3042815918 scopus 로고    scopus 로고
    • An improved particle swarm optimizer for mechanical design optimization problems
    • S. He, E. Prempain, and Q.H. Wu An improved particle swarm optimizer for mechanical design optimization problems Eng Optimiz 36 5 2004 585 605
    • (2004) Eng Optimiz , vol.36 , Issue.5 , pp. 585-605
    • He, S.1    Prempain, E.2    Wu, Q.H.3
  • 30
    • 64849096117 scopus 로고    scopus 로고
    • An effective multiagent evolutionary algorithm integrating a novel roulette inversion operator for engineering optimization
    • J. Zhang, C. Liang, Y. Huang, J. Wu, and S. Yang An effective multiagent evolutionary algorithm integrating a novel roulette inversion operator for engineering optimization Appl Math Comput 211 2009 392 416
    • (2009) Appl Math Comput , vol.211 , pp. 392-416
    • Zhang, J.1    Liang, C.2    Huang, Y.3    Wu, J.4    Yang, S.5
  • 31
    • 0034351369 scopus 로고    scopus 로고
    • Constraint-handling using an evolutionary multiobjective optimization technique
    • C.A.C. Coello Constraint-handling using an evolutionary multiobjective optimization technique Civil Eng Environ Syst 17 2000 319 346
    • (2000) Civil Eng Environ Syst , vol.17 , pp. 319-346
    • Coello, C.A.C.1
  • 32
    • 20444466485 scopus 로고    scopus 로고
    • A new meta-heuristic algorithm for continuous engineering optimization: Harmony search theory and practice
    • DOI 10.1016/j.cma.2004.09.007, PII S0045782504004682
    • K.S. Lee, and Z.W. Geem A new meta-heuristic algorithm for continues engineering optimization: harmony search theory and practice Comput Methods Appl Mech Eng 194 2004 3902 3933 (Pubitemid 40815237)
    • (2005) Computer Methods in Applied Mechanics and Engineering , vol.194 , Issue.36-38 , pp. 3902-3933
    • Lee, K.S.1    Geem, Z.W.2
  • 33
    • 34248141625 scopus 로고    scopus 로고
    • An improved harmony search algorithm for solving optimization problems
    • DOI 10.1016/j.amc.2006.11.033, PII S0096300306015098
    • M. Mahdavi, M. Fesanghary, and E. Damangir An improved harmony search algorithm for solving optimization problems Appl Math Comput 188 2007 1567 1579 (Pubitemid 46710046)
    • (2007) Applied Mathematics and Computation , vol.188 , Issue.2 , pp. 1567-1579
    • Mahdavi, M.1    Fesanghary, M.2    Damangir, E.3
  • 34
    • 44749086748 scopus 로고    scopus 로고
    • Hybridizing harmony search algorithm with sequential quadratic programming for engineering optimization problems
    • M. Fesanghary, M. Mahdavi, M. Minary-Jolandan, and Y. Alizadeh Hybridizing harmony search algorithm with sequential quadratic programming for engineering optimization problems Comput Methods Appl Mech Eng 197 2008 3080 3091
    • (2008) Comput Methods Appl Mech Eng , vol.197 , pp. 3080-3091
    • Fesanghary, M.1    Mahdavi, M.2    Minary-Jolandan, M.3    Alizadeh, Y.4
  • 36
    • 0036661345 scopus 로고    scopus 로고
    • A socio-behavioral simulation model for engineering design optimization
    • DOI 10.1080/03052150212723
    • S. Akhtar, K. Tai, and T. Ray A socio-behavioural simulation model for engineering design optimization Eng Optimiz 34 4 2002 341 354 (Pubitemid 35263135)
    • (2002) Engineering Optimization , vol.34 , Issue.4 , pp. 341-354
    • Akhtar, S.1    Tai, K.2    Ray, T.3
  • 37
    • 0041861379 scopus 로고    scopus 로고
    • Society and civilization: An optimization algorithm based on the simulation of social behavior
    • T. Ray, and K.M. Liew Society and civilization: an optimization algorithm based on the simulation of social behavior IEEE Trans Evolution Comput 7 4 2003 386 396
    • (2003) IEEE Trans Evolution Comput , vol.7 , Issue.4 , pp. 386-396
    • Ray, T.1    Liew, K.M.2
  • 38
    • 80055034453 scopus 로고    scopus 로고
    • Modified bacterial foraging optimization for engineering design
    • Dagli Cihan H, et al., editors ASME Press series, Intelligent engineering systems through artificial neural networks
    • Montes EM, Ocaña BH. Modified bacterial foraging optimization for engineering design. In: Dagli Cihan H, et al., editors. Proceedings of the Artificial neural networks in engineering conference (ANNIE'2009), ASME Press series, Intelligent engineering systems through artificial neural networks, vol. 19, 2009. p. 357-64.
    • (2009) Proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE'2009) , vol.19 , pp. 357-364
    • Montes, E.M.1    Ocaña, B.H.2
  • 39
    • 44949228312 scopus 로고    scopus 로고
    • Differential evolution with dynamic stochastic selection for constrained optimization
    • M. Zhang, W. Luo, and X. Wang Differential evolution with dynamic stochastic selection for constrained optimization Inform Sci 178 15 2008 3043 3074
    • (2008) Inform Sci , vol.178 , Issue.15 , pp. 3043-3074
    • Zhang, M.1    Luo, W.2    Wang, X.3
  • 41
    • 33750428613 scopus 로고    scopus 로고
    • Mixed-variable engineering optimization based on evolutionary and social metaphors
    • DOI 10.1016/j.cma.2006.06.010, PII S0045782506002283
    • G.G. Dimopoulos Mixed-variable engineering optimization based on evolutionary and social metaphors Comput Methods Appl Mech Eng 196 2007 803 817 (Pubitemid 44644871)
    • (2007) Computer Methods in Applied Mechanics and Engineering , vol.196 , Issue.4-6 , pp. 803-817
    • Dimopoulos, G.G.1
  • 42
    • 4544354310 scopus 로고    scopus 로고
    • Swarm intelligence for mixed-variable design optimization
    • C.X. Guo, J.S. Hu, B. Ye, and Y.J. Cao Swarm intelligence for mixed-variable design optimization J Zhejiang Univ Sci 5 7 2004 851 860
    • (2004) J Zhejiang Univ Sci , vol.5 , Issue.7 , pp. 851-860
    • Guo, C.X.1    Hu, J.S.2    Ye, B.3    Cao, Y.J.4
  • 43
    • 0011726826 scopus 로고
    • Genetic algorithms for nonlinear mixed discrete-integer optimization problems via metagenetic parameter optimizations
    • S.J. Wu, and P.E. Chow Genetic algorithms for nonlinear mixed discrete-integer optimization problems via metagenetic parameter optimizations Eng Optimiz 24 1995 137 159
    • (1995) Eng Optimiz , vol.24 , pp. 137-159
    • Wu, S.J.1    Chow, P.E.2
  • 44
    • 0002951980 scopus 로고    scopus 로고
    • Optimizing engineering designs using a combined genetic search
    • Back IT, editors
    • Deb K, Goyal M. Optimizing engineering designs using a combined genetic search. In: Back IT, editors. 7th international conference on genetic algorithms, 1997. p. 512-28.
    • (1997) 7th International Conference on Genetic Algorithms , pp. 512-528
    • Deb, K.1    Goyal, M.2
  • 46
    • 0024620345 scopus 로고
    • Nonlinear mixed-discrete structural optimization
    • H.M. Amir, and T. Hasegawa Nonlinear mixed-discrete structural optimization J Struct Eng 115 3 1989 626 645
    • (1989) J Struct Eng , vol.115 , Issue.3 , pp. 626-645
    • Amir, H.M.1    Hasegawa, T.2
  • 48
    • 0036663218 scopus 로고    scopus 로고
    • Generalized Hopfield network based structural optimization using sequential unconstrained minimization technique with additional penalty strategy
    • DOI 10.1016/S0965-9978(02)00060-1, PII S0965997802000601
    • C.J. Shih, and Y.C. Yang Generalized Hopfield network based structural optimization using sequential unconstrained minimization technique with additional penalty strategy Adv Eng Software 33 2002 721 729 (Pubitemid 35411959)
    • (2002) Advances in Engineering Software , vol.33 , Issue.7-10 , pp. 721-729
    • Shih, C.J.1    Yang, Y.C.2
  • 49
    • 0029250781 scopus 로고
    • Survey of discrete variable optimization for structural design
    • P.B. Thanedar, and G.N. Vanderplaats Survey of discrete variable optimization for structural design J Struct Eng, ASCE 2 121 1995 301 306
    • (1995) J Struct Eng, ASCE , vol.2 , Issue.121 , pp. 301-306
    • Thanedar, P.B.1    Vanderplaats, G.N.2
  • 50
    • 0342647286 scopus 로고    scopus 로고
    • Optimal design of planar and space structures with genetic algorithms
    • DOI 10.1016/S0045-7949(99)00084-X
    • F. Erbatur, O. Hasancebi, I. Tutuncu, and H. Kilic Optimal design of planar and space structures with genetic algorithms Comput Struct 75 2000 209 224 (Pubitemid 30557990)
    • (2000) Computers and Structures , vol.75 , Issue.2 , pp. 209-224
    • Erbatur, F.1    Hasancebi, O.2    Tutuncu, I.3    Kinodot4    lic, H.5
  • 51
    • 58049150540 scopus 로고    scopus 로고
    • Mixed-discrete structural optimization using a rank-niche evolution strategy
    • T.Y. Chen, and H.C. Chen Mixed-discrete structural optimization using a rank-niche evolution strategy Eng Optimiz 41 1 2009 39 58
    • (2009) Eng Optimiz , vol.41 , Issue.1 , pp. 39-58
    • Chen, T.Y.1    Chen, H.C.2
  • 52
    • 0037404866 scopus 로고    scopus 로고
    • Move limits definition in structural optimization with sequential linear programming. Part II: Numerical examples
    • L. Lamberti, and C. Pappalettere Move limits definition in structural optimization with sequential linear programming. Part II: Numerical examples Comput Struct 81 2003 215 238
    • (2003) Comput Struct , vol.81 , pp. 215-238
    • Lamberti, L.1    Pappalettere, C.2
  • 54
    • 0347985413 scopus 로고    scopus 로고
    • A new response surface methodology for reliability-based design optimization
    • B.D. Youn, and K.K. Choi A new response surface methodology for reliability-based design optimization Comput Struct 82 2004 241 256
    • (2004) Comput Struct , vol.82 , pp. 241-256
    • Youn, B.D.1    Choi, K.K.2
  • 55
    • 44149083276 scopus 로고    scopus 로고
    • A general framework for statistical performance comparison of evolutionary computation algorithms
    • D. Shilane, J. Martikainen, S. Dudoit, and S.J. Ovaska A general framework for statistical performance comparison of evolutionary computation algorithms Inform Sci: Int J 178 2008 2870 2879
    • (2008) Inform Sci: Int J , vol.178 , pp. 2870-2879
    • Shilane, D.1    Martikainen, J.2    Dudoit, S.3    Ovaska, S.J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.