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Volumn 7, Issue 2, 2008, Pages 103-128

Genetic algorithms with dynamic mutation rates and their industrial applications

Author keywords

Dynamic mutation rate; Evolutionary algorithms; Genetic algorithms

Indexed keywords

ALGORITHMS; APPLICATIONS; FACILITIES; GENES; GENETIC ALGORITHMS; INDUSTRIAL APPLICATIONS; POWER ELECTRONICS;

EID: 59149099374     PISSN: 14690268     EISSN: None     Source Type: Journal    
DOI: 10.1142/S1469026808002211     Document Type: Article
Times cited : (6)

References (38)
  • 1
    • 0001017536 scopus 로고    scopus 로고
    • Genetic algorithms for operations researcher
    • C. Reeves, Genetic algorithms for operations researcher, INFORMS J. Comput. 9(3) (1997) 231-250.
    • (1997) INFORMS J. Comput , vol.9 , Issue.3 , pp. 231-250
    • Reeves, C.1
  • 2
    • 3543057601 scopus 로고    scopus 로고
    • A distributed evolutionary simulated annealing for combinatorial optimisation problems
    • M. E. Aydin and T. C. Fogarty, A distributed evolutionary simulated annealing for combinatorial optimisation problems, J. Heuristics 10(3) (2004) 269-292.
    • (2004) J. Heuristics , vol.10 , Issue.3 , pp. 269-292
    • Aydin, M.E.1    Fogarty, T.C.2
  • 3
    • 0030247388 scopus 로고
    • Genetic algorithms and travelling salesman problems
    • S. Chatterjee, C. Carrera and L. A. Lynch, Genetic algorithms and travelling salesman problems, Eur. J. Oper. Res. 93 (1995) 490-510.
    • (1995) Eur. J. Oper. Res , vol.93 , pp. 490-510
    • Chatterjee, S.1    Carrera, C.2    Lynch, L.A.3
  • 4
    • 0030735527 scopus 로고    scopus 로고
    • A genetic algorithm for the generalised assignment problem
    • P. C. Chu and J. E. Beasley, A genetic algorithm for the generalised assignment problem, Comput. Oper. Res. 24(1) (1997) 17-23.
    • (1997) Comput. Oper. Res , vol.24 , Issue.1 , pp. 17-23
    • Chu, P.C.1    Beasley, J.E.2
  • 5
    • 0034970081 scopus 로고    scopus 로고
    • Solving the simple plant location problem by genetic algorithm
    • J. Kratica, D. Tosic, V. Filipovic and I. Ljubic, Solving the simple plant location problem by genetic algorithm, RAIRO Oper. Res. 35 (2001) 127-142.
    • (2001) RAIRO Oper. Res , vol.35 , pp. 127-142
    • Kratica, J.1    Tosic, D.2    Filipovic, V.3    Ljubic, I.4
  • 6
    • 0001196416 scopus 로고
    • A comparative study of both standard and adaptive versions of threshold accepting and simulated annealing algorithms in three scheduling problems
    • C. K. Y. Lin, K. B. Haley and C. Sparks, A comparative study of both standard and adaptive versions of threshold accepting and simulated annealing algorithms in three scheduling problems, Eur. J. Oper. Res. 83 (1995) 330-346.
    • (1995) Eur. J. Oper. Res , vol.83 , pp. 330-346
    • Lin, C.K.Y.1    Haley, K.B.2    Sparks, C.3
  • 7
    • 0031245643 scopus 로고    scopus 로고
    • Simulated annealing heuristics for the average flow-time and the number of Tardy jobs bi-criteria identical parallel machine problem
    • A. J. Ruiz-Torres, E. E. Enscore and R. R. Barton, Simulated annealing heuristics for the average flow-time and the number of Tardy jobs bi-criteria identical parallel machine problem, Comput. Indust. Eng. 33(1-2) (1997) 257-260.
    • (1997) Comput. Indust. Eng , vol.33 , Issue.1-2 , pp. 257-260
    • Ruiz-Torres, A.J.1    Enscore, E.E.2    Barton, R.R.3
  • 8
    • 0031284251 scopus 로고    scopus 로고
    • A genetic algorithm for the generalised assignment problem
    • J. M. Wilson, A genetic algorithm for the generalised assignment problem, J. Oper. Res. Soc. 48 (1997) 804-809.
    • (1997) J. Oper. Res. Soc , vol.48 , pp. 804-809
    • Wilson, J.M.1
  • 9
    • 59149097606 scopus 로고    scopus 로고
    • R. J. M. Vaessens, E. H. L. Aarts and J. K. Lenstra, A local search template, in Proc. Parallel Problem-Solving from Nature (1992), pp. 65-74.
    • R. J. M. Vaessens, E. H. L. Aarts and J. K. Lenstra, A local search template, in Proc. Parallel Problem-Solving from Nature (1992), pp. 65-74.
  • 10
    • 84901047034 scopus 로고
    • Genetic algorithms and neighbourhood search
    • C. R. Reeves, Genetic algorithms and neighbourhood search, Evol. Comput.: AISB Workshop (1994), pp. 115-130.
    • (1994) Evol. Comput.: AISB Workshop , pp. 115-130
    • Reeves, C.R.1
  • 11
    • 84949806686 scopus 로고    scopus 로고
    • Intelligent mutation rate control in canonical genetic algorithms
    • T. Back and M. Schutz, Intelligent mutation rate control in canonical genetic algorithms, Found. Intell. Syst. (1996), pp. 158-167.
    • (1996) Found. Intell. Syst , pp. 158-167
    • Back, T.1    Schutz, M.2
  • 12
    • 0003380920 scopus 로고
    • Varying the probability of mutation in the genetic algorithm
    • T. C. Fogarty, Varying the probability of mutation in the genetic algorithm, in Proc. 3rd Int. Conf. Genetic Algorithms (1989), pp. 104-109.
    • (1989) Proc. 3rd Int. Conf. Genetic Algorithms , pp. 104-109
    • Fogarty, T.C.1
  • 14
    • 0028409149 scopus 로고
    • Adaptive probabilities of crossover and mutation in genetic algorithms
    • M. Srinivas and L. M. Patnaik, Adaptive probabilities of crossover and mutation in genetic algorithms, IEEE Trans. Syst. Man Cybernet. 24 (4) (1994) 17-26.
    • (1994) IEEE Trans. Syst. Man Cybernet , vol.24 , Issue.4 , pp. 17-26
    • Srinivas, M.1    Patnaik, L.M.2
  • 15
    • 84901428242 scopus 로고    scopus 로고
    • Adaptive mutation rate control schemes in genetic algorithms
    • D. Thierens, Adaptive mutation rate control schemes in genetic algorithms, in Proc. IEEE Congr. Evolutionary Computation 1 (2002), 980-985.
    • (2002) Proc. IEEE Congr. Evolutionary Computation , vol.1 , pp. 980-985
    • Thierens, D.1
  • 17
    • 0002650901 scopus 로고
    • The interaction of mutation rate, select, and self-adaptation within a genetic algorithm
    • T. Back, The interaction of mutation rate, select, and self-adaptation within a genetic algorithm, in Proc. 2nd Conf. Parallel Problem Solving from Nature (1992), pp. 85-94.
    • (1992) Proc. 2nd Conf. Parallel Problem Solving from Nature , pp. 85-94
    • Back, T.1
  • 21
    • 0003117636 scopus 로고    scopus 로고
    • Self-adaptation in real-parameter genetic algorithms with simulated binary crossover
    • K. Deb and H. G. Beyer, Self-adaptation in real-parameter genetic algorithms with simulated binary crossover, in Proc. Genetic and Evolutionary Computation Conf. 1 (1999) 172-179.
    • (1999) Proc. Genetic and Evolutionary Computation Conf , vol.1 , pp. 172-179
    • Deb, K.1    Beyer, H.G.2
  • 22
    • 0030259057 scopus 로고
    • A genetic algorithm for the set covering problem
    • J. E. Beasley and P. C. Chu, A genetic algorithm for the set covering problem, Eur. J. Oper. Res. 94 (1994) 392-404.
    • (1994) Eur. J. Oper. Res , vol.94 , pp. 392-404
    • Beasley, J.E.1    Chu, P.C.2
  • 23
    • 0000369074 scopus 로고    scopus 로고
    • Obtaining test problems via internet
    • J. E. Beasley, Obtaining test problems via internet, J. Global Optim. 8 (1996) 429-433, http://mscmga.ms.ic.ac.uk/info.html.
    • (1996) J. Global Optim , vol.8 , pp. 429-433
    • Beasley, J.E.1
  • 28
    • 0003140039 scopus 로고
    • Predictive models for the breeder genetic algorithm: I. Continuous parameter optimization
    • H. Muhlenbein and D. S. Voosen, Predictive models for the breeder genetic algorithm: I. Continuous parameter optimization, Evol. Comput. 1(1) (1993) 25-49.
    • (1993) Evol. Comput , vol.1 , Issue.1 , pp. 25-49
    • Muhlenbein, H.1    Voosen, D.S.2
  • 29
  • 31
    • 0035508472 scopus 로고    scopus 로고
    • An approximation algorithm for the maximum version of the two level uncapacitated facility location problem
    • A. Bumb, An approximation algorithm for the maximum version of the two level uncapacitated facility location problem, Oper. Res. Lett. 29 (2001) 155-161.
    • (2001) Oper. Res. Lett , vol.29 , pp. 155-161
    • Bumb, A.1
  • 32
    • 0031190317 scopus 로고    scopus 로고
    • An algorithm and application
    • Multi-period international facilities location
    • C. Canel and B. M. Khumawala, Multi-period international facilities location: An algorithm and application, Int. J. Prod. Res. 35 7) (1997) 1891-1990.
    • (1997) Int. J. Prod. Res , vol.35 , Issue.7 , pp. 1891-1990
    • Canel, C.1    Khumawala, B.M.2
  • 33
    • 0034262342 scopus 로고    scopus 로고
    • The uncapacitated facility location problem with client matching
    • E. Gourdin, M. Labbe and G. Laporte, The uncapacitated facility location problem with client matching, Oper. Res. 48(5) (2000) 671-685.
    • (2000) Oper. Res , vol.48 , Issue.5 , pp. 671-685
    • Gourdin, E.1    Labbe, M.2    Laporte, G.3
  • 34
    • 4944226646 scopus 로고    scopus 로고
    • Adapting polyhedral properties from facility to hub location problems
    • H. W. Hamacher, M. Labb, S. Nickel and T. Sonneborn, Adapting polyhedral properties from facility to hub location problems, Discrete Appl. Math. 145 (2004) 104-116.
    • (2004) Discrete Appl. Math , vol.145 , pp. 104-116
    • Hamacher, H.W.1    Labb, M.2    Nickel, S.3    Sonneborn, T.4
  • 38
    • 0037843080 scopus 로고    scopus 로고
    • A new approach to dynamic security assessment using trajectory sensitivities
    • T. B. Nguyen and M. A. Pai, A new approach to dynamic security assessment using trajectory sensitivities, IEEE Trans. Power Syst. 18(2) (1998) 848-854.
    • (1998) IEEE Trans. Power Syst , vol.18 , Issue.2 , pp. 848-854
    • Nguyen, T.B.1    Pai, M.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.