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Volumn 149, Issue 1, 2005, Pages 131-147

A fuzzy-based lifetime extension of genetic algorithms

Author keywords

Adaptive fuzzy control; Fuzzy genetic algorithms; Fuzzy logic; Fuzzy rule based systems; Genetic algorithms; Optimization

Indexed keywords

ALGORITHMS; BENCHMARKING; GENETIC ALGORITHMS; LINGUISTICS; MATHEMATICAL MODELS; OPTIMIZATION; PROBABILITY;

EID: 9644279569     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fss.2004.07.011     Document Type: Article
Times cited : (54)

References (31)
  • 1
    • 18544380225 scopus 로고    scopus 로고
    • Adaptive parameterization of evolutionary algorithms driven by reproduction and competition
    • Aachen (Germania), September
    • M. Annuziato, S. Pizzuti, Adaptive parameterization of evolutionary algorithms driven by reproduction and competition, atti di ESIT2000 European Symp. on Intelligent Techniques, Aachen (Germania), September 2000.
    • (2000) Atti di ESIT2000 European Symp. on Intelligent Techniques
    • Annuziato, M.1    Pizzuti, S.2
  • 4
    • 0002471118 scopus 로고
    • Optimal mutation rates in genetic search
    • S. Forrest (Ed.), San Mateo, CA, Morgan Kaufmann, Los Altos, CA
    • T. B"ack, Optimal mutation rates in genetic search, in: S. Forrest (Ed.), Proc. of the Fifth Internat. Conf. on Genetic Algorithms, San Mateo, CA, Morgan Kaufmann, Los Altos, CA, 1993, pp. 2-9.
    • (1993) Proc. of the Fifth Internat. Conf. on Genetic Algorithms , pp. 2-9
    • Back, T.1
  • 5
    • 9644261573 scopus 로고
    • Adjusting parameters of genetic algorithms by fuzzy control rules
    • K.-H. Becks, D. Perret-Gallix (Eds.), World Scientific, Singapore
    • A. Bergman, W. Burgard, S. Hemker, Adjusting parameters of genetic algorithms by fuzzy control rules, in: K.-H. Becks, D. Perret-Gallix (Eds.), New Computing Techniques in Physics Research III, World Scientific, Singapore, 1993.
    • (1993) New Computing Techniques in Physics Research , vol.3
    • Bergman, A.1    Burgard, W.2    Hemker, S.3
  • 7
    • 0002796814 scopus 로고    scopus 로고
    • Understanding interactions among genetic algorithm parameters
    • W. Banzhaf, C. Reeves (Eds.), Morgan Kaufmann, San Francisco, CA
    • K. Deb, S. Agrawal, Understanding interactions among genetic algorithm parameters, in: W. Banzhaf, C. Reeves (Eds.), Foundations of Genetic Algorithm 5, Morgan Kaufmann, San Francisco, CA, 1998, pp. 265-286.
    • (1998) Foundations of Genetic Algorithm , vol.5 , pp. 265-286
    • Deb, K.1    Agrawal, S.2
  • 9
    • 9644285454 scopus 로고    scopus 로고
    • Master's Thesis, Department of Information Systems Engineering, Faculty of Engineering, Ben-Gurion University
    • S. Eyal, A fuzzy-based age extension of genetic algorithm, Master's Thesis, Department of Information Systems Engineering, Faculty of Engineering, Ben-Gurion University, 2003.
    • (2003) A Fuzzy-based Age Extension of Genetic Algorithm
    • Eyal, S.1
  • 10
    • 0034876073 scopus 로고    scopus 로고
    • A study on non-random mating and varying population size in genetic algorithms using royal road function
    • C. Fernandes, A. Rosa, A study on non-random mating and varying population size in genetic algorithms using royal road function, in: Proc. of the 2001 Congress on Evolutionary Computation CEC2001.2001, pp. 60-66.
    • (2001) Proc. of the 2001 Congress on Evolutionary Computation CEC2001 , pp. 60-66
    • Fernandes, C.1    Rosa, A.2
  • 12
    • 35248886015 scopus 로고    scopus 로고
    • Population sizing for optimum sampling with genetic algorithms: A case study of the onemax problem
    • J.R. Koza et al. (Eds.), Morgan Kaufmann, Los Altos, CA
    • P. Giguere, D.E. Goldberg, Population sizing for optimum sampling with genetic algorithms: a case study of the onemax problem, in: J.R. Koza et al. (Eds.), Proc. Genetic Programming, Morgan Kaufmann, Los Altos, CA, 1998, pp. 496-503.
    • (1998) Proc. Genetic Programming , pp. 496-503
    • Giguere, P.1    Goldberg, D.E.2
  • 15
    • 0001917647 scopus 로고    scopus 로고
    • Adaptation of genetic algorithm parameters based on fuzzy logic controllers
    • F. Herrera, J. Verdegay (Eds.)
    • F. Herrera, M. Lozano, Adaptation of genetic algorithm parameters based on fuzzy logic controllers, in: F. Herrera, J. Verdegay (Eds.), Genetic Algorithms and Soft Computing, 1996, pp. 95-125.
    • (1996) Genetic Algorithms and Soft Computing , pp. 95-125
    • Herrera, F.1    Lozano, M.2
  • 16
    • 0035304657 scopus 로고    scopus 로고
    • Adaptive genetic operators based on coevolution with fuzzy behaviors
    • F. Herrera, M. Lozano, Adaptive genetic operators based on coevolution with fuzzy behaviors, IEEE Trans. Evolution. Comput. 5 (2) (2001) 1-18.
    • (2001) IEEE Trans. Evolution. Comput. , vol.5 , Issue.2 , pp. 1-18
    • Herrera, F.1    Lozano, M.2
  • 17
    • 0009808954 scopus 로고    scopus 로고
    • Fuzzy genetic algorithms: Issues and models
    • Department of Computer Science and A.I., University of Granada, June
    • F. Herrera, M. Lozano, Fuzzy genetic algorithms: issues and models, Technical Report DECSAI-98116, Department of Computer Science and A.I., University of Granada, June 1998.
    • (1998) Technical Report , vol.DECSAI-98116
    • Herrera, F.1    Lozano, M.2
  • 19
    • 0026988817 scopus 로고
    • Genetic algorithms
    • J.H. Holland, Genetic algorithms, Sci. Am. 267 (1) (1992) 44-150.
    • (1992) Sci. Am. , vol.267 , Issue.1 , pp. 44-150
    • Holland, J.H.1
  • 20
    • 9644292632 scopus 로고
    • Royal Road Functions. Genetic algorithms, GAList Internet mailing list
    • Article dated August 7
    • J.H. Holland, Royal Road Functions. Genetic algorithms, GAList Internet mailing list, Digest, Vol. 7(22), Article dated August 7, 1993.
    • (1993) Digest , vol.7 , Issue.22
    • Holland, J.H.1
  • 25
    • 9644305266 scopus 로고    scopus 로고
    • G. Reinelt, 'TheTSPLIB', http://www.iwr.uni-heidelberg.de/iwr/comopt/ soft/TSPLIB95/TSPLIB.html.
    • TheTSPLIB
    • Reinelt, G.1
  • 26
    • 0033114942 scopus 로고    scopus 로고
    • Implementation of evolutionary fuzzy systems
    • Y. Shi, R. Eberhart, Y. Chen, Implementation of evolutionary fuzzy systems, IEEE Trans. Fuzzy Syst. 7 (2) (1999) 109-119.
    • (1999) IEEE Trans. Fuzzy Syst. , vol.7 , Issue.2 , pp. 109-119
    • Shi, Y.1    Eberhart, R.2    Chen, Y.3
  • 27
    • 0003062189 scopus 로고
    • Adapting crossover in evolutionary algorithms
    • Ed Fogel,MIT Press, Cambridge, MA
    • W.M. Spears, Adapting crossover in evolutionary algorithms, in: Proc. of 4th Annu. Conf. on Evolutionary Computing, Ed Fogel,MIT Press, Cambridge, MA, 1995.
    • (1995) Proc. of 4th Annu. Conf. on Evolutionary Computing
    • Spears, W.M.1
  • 28
    • 0028409149 scopus 로고
    • Adaptive probabilities of crossover and mutation in genetic algorithms
    • M. Srinivas, L.M. Patnaik, Adaptive probabilities of crossover and mutation in genetic algorithms, IEEE Trans. Systems, Man Cybernet. 24 (4) (1994) 656-667.
    • (1994) IEEE Trans. Systems, Man Cybernet. , vol.24 , Issue.4 , pp. 656-667
    • Srinivas, M.1    Patnaik, L.M.2
  • 31
    • 0003118202 scopus 로고
    • Dynamic control of genetic algorithms using fuzzy logic techniques
    • S. Forrest (Ed.)
    • L. Takagi, Dynamic control of genetic algorithms using fuzzy logic techniques, in: S. Forrest (Ed.), Proc. of the 5th Internat. Conf. On Genetic Algorithms (ICGA), 1993, pp. 76-83.
    • (1993) Proc. of the 5th Internat. Conf. on Genetic Algorithms (ICGA) , pp. 76-83
    • Takagi, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.