메뉴 건너뛰기




Volumn 231, Issue , 2014, Pages 187-204

A bacterial gene recombination algorithm for solving constrained optimization problems

Author keywords

Bacterial gene recombination algorithm; Constrained optimization problems; Penalty function

Indexed keywords

CONSTRAINED OPTIMI-ZATION PROBLEMS; EVOLUTIONARY PROCESS; INTELLIGENT BEHAVIOR; PENALTY FUNCTION; PENALTY FUNCTION METHODS; PROBLEMS AND SOLUTIONS; RECOMBINATION ALGORITHMS; SWARM INTELLIGENCE;

EID: 84893170626     PISSN: 00963003     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.amc.2013.12.178     Document Type: Article
Times cited : (35)

References (32)
  • 3
    • 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 (Pubitemid 127502202)
    • (1997) Journal of Global Optimization , vol.11 , Issue.4 , pp. 341-359
    • Storn, R.1    Price, K.2
  • 6
    • 0011726826 scopus 로고
    • Genetic algorithms for nonlinear mixed discrete-integer optimization problems via meta-genetic parameter optimization
    • S.J. Wu, and P.T. Chow Genetic algorithms for nonlinear mixed discrete-integer optimization problems via meta-genetic parameter optimization Eng. Optim. 24 1995 137 159
    • (1995) Eng. Optim. , vol.24 , pp. 137-159
    • Wu, S.J.1    Chow, P.T.2
  • 7
    • 0016986026 scopus 로고
    • Optimal design of a class of welded structures using geometric programming
    • K.M. Ragsdell, and D.T. Phillips Optimal design of a class of welded structures using geometric programming Trans. ASME. Ser. B. J. Eng. Ind. 98 3 1976 1021 1025
    • (1976) Trans. ASME. Ser. B. J. Eng. Ind. , vol.98 , Issue.3 , pp. 1021-1025
    • Ragsdell, K.M.1    Phillips, D.T.2
  • 8
    • 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
  • 9
    • 34249113507 scopus 로고    scopus 로고
    • An optimization method for solving mixed discrete-continuous programming problems
    • DOI 10.1016/j.camwa.2007.01.006, PII S0898122107001010
    • V.K. Srivastava, and A. Fahim An optimization method for solving mixed discrete-continuous programming problems Comput. Math. Appl. 53 10 2007 1481 1491 (Pubitemid 46783379)
    • (2007) Computers and Mathematics with Applications , vol.53 , Issue.10 , pp. 1481-1491
    • Srivastava, V.K.1    Fahim, A.2
  • 10
    • 70649097284 scopus 로고    scopus 로고
    • Hybridizing particle swarm optimization with differential evolution for constrained numerical and engineering optimization
    • H. Liu, Z.X. Cai, and Y. Wang Hybridizing particle swarm optimization with differential evolution for constrained numerical and engineering optimization Appl. Soft Comput. 10 2 2010 629 640
    • (2010) Appl. Soft Comput. , vol.10 , Issue.2 , pp. 629-640
    • Liu, H.1    Cai, Z.X.2    Wang, Y.3
  • 11
    • 0030402841 scopus 로고    scopus 로고
    • Constrained optimization using interval analysis
    • K. Ichida Constrained optimization using interval analysis Comput. Ind. Eng. 31 3-4 1996 933 937 (Pubitemid 126651726)
    • (1996) Computers and Industrial Engineering , vol.31 , Issue.3-4 , pp. 933-937
    • Ichida, K.1
  • 13
    • 79952440136 scopus 로고    scopus 로고
    • Directed searching optimization algorithm for constrained optimization problems
    • D. Zou, H. Liu, L. Gao, and S. Li Directed searching optimization algorithm for constrained optimization problems Expert Syst. Appl. 38 2011 8716 8723
    • (2011) Expert Syst. Appl. , vol.38 , pp. 8716-8723
    • Zou, D.1    Liu, H.2    Gao, L.3    Li, S.4
  • 18
    • 0033204923 scopus 로고    scopus 로고
    • Fuzzy system parameters discovery by bacterial evolutionary algorithm
    • DOI 10.1109/91.797983
    • N.E. Nawa, and T. Furuhashi Fuzzy system parameters discovery by bacterial evolutionary algorithm IEEE Trans. Fuzzy Syst. 7 5 1999 608 616 (Pubitemid 32081743)
    • (1999) IEEE Transactions on Fuzzy Systems , vol.7 , Issue.5 , pp. 608-616
    • Nawa, N.E.1    Furuhashi, T.2
  • 19
    • 0028413196 scopus 로고
    • Constrained optimization via genetic algorithms
    • A. Homaifar, S.H. Lai, and C.X. Qi Constrained optimization via genetic algorithms Simulation 62 4 1994 242 254
    • (1994) Simulation , vol.62 , Issue.4 , pp. 242-254
    • Homaifar, A.1    Lai, S.H.2    Qi, C.X.3
  • 20
    • 0029326675 scopus 로고
    • A comparison of evolutionary programming and genetic algorithms on selected constrained optimization problems
    • D.B. Fogel A comparison of evolutionary programming and genetic algorithms on selected constrained optimization problems Simulation 64 6 1995 399 406
    • (1995) Simulation , vol.64 , Issue.6 , pp. 399-406
    • Fogel, D.B.1
  • 21
    • 0033729054 scopus 로고    scopus 로고
    • An efficient constraint handling method for genetic algorithms
    • K. Deb An efficient constraint handling method for genetic algorithms Comput. Methods Appl. Mech. Eng. 186 2000 311 338
    • (2000) Comput. Methods Appl. Mech. Eng. , vol.186 , pp. 311-338
    • Deb, K.1
  • 22
    • 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 continuous engineering optimization: harmony search theory and practice Comput. Methods Appl. Mech. Eng. 194 36-38 2005 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
  • 23
    • 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 2 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
  • 24
    • 0442289111 scopus 로고    scopus 로고
    • Constraint-handling in genetic algorithms through the use of dominance-based tournament selection
    • C.A.C. Coello, and E.M. Montes Constraint-handling in genetic algorithms through the use of dominance-based tournament selection Adv. Eng. Inform. 16 2002 193 203
    • (2002) Adv. Eng. Inform. , vol.16 , pp. 193-203
    • Coello, C.A.C.1    Montes, E.M.2
  • 27
    • 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
  • 29
    • 79959446440 scopus 로고    scopus 로고
    • Constrained optimization by the constrained differential evolution with an archive and gradient-based mutation
    • T. Takahama, S. Sakai, Constrained optimization by the constrained differential evolution with an archive and gradient-based mutation, in: IEEE congress on evolutionary computation (CEC), 2010, pp. 1680-1688.
    • (2010) IEEE Congress on Evolutionary Computation (CEC) , pp. 1680-1688
    • Takahama, T.1    Sakai, S.2
  • 30
    • 79955056563 scopus 로고    scopus 로고
    • Multi-operator based evolutionary algorithms for solving constrained optimization problems
    • S.M. Elsayed, R.A. Sarker, and D.L. Essam Multi-operator based evolutionary algorithms for solving constrained optimization problems Comput. Oper. Res. 38 12 2011 1877 1896
    • (2011) Comput. Oper. Res. , vol.38 , Issue.12 , pp. 1877-1896
    • Elsayed, S.M.1    Sarker, R.A.2    Essam, D.L.3
  • 31
    • 84859714363 scopus 로고    scopus 로고
    • Penalty guided bees search for redundancy allocation problems with a mix of components in series-parallel systems
    • T.J. Hsieh, and W.C. Yeh Penalty guided bees search for redundancy allocation problems with a mix of components in series-parallel systems Comput. Oper. Res. 39 11 2012 2688 2704
    • (2012) Comput. Oper. Res. , vol.39 , Issue.11 , pp. 2688-2704
    • Hsieh, T.J.1    Yeh, W.C.2
  • 32
    • 33750305215 scopus 로고    scopus 로고
    • Redundancy allocation of series-parallel systems using a variable neighborhood search algorithm
    • Y.C. Liang, and Y.C. Chen Redundancy allocation of series-parallel systems using a variable neighborhood search algorithm Reliab. Eng. Syst. Saf. 92 2007 323 331
    • (2007) Reliab. Eng. Syst. Saf. , vol.92 , pp. 323-331
    • Liang, Y.C.1    Chen, Y.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.