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Volumn 46, Issue 2, 2009, Pages 153-168

Parent-centric differential evolution algorithm for global optimization problems

Author keywords

Crossover; Differential evolution; Mutation operation; Stochastic optimization

Indexed keywords


EID: 77957001747     PISSN: 00303887     EISSN: 09750320     Source Type: Journal    
DOI: 10.1007/s12597-009-0010-5     Document Type: Article
Times cited : (18)

References (32)
  • 3
    • 0002442921 scopus 로고
    • Evolutionary programming in perspective: The top-down view
    • Zurada, J.M., Marks, R. Jr., Robinson, C. (eds.), IEEE Press, Piscataway, NJ, USA
    • Fogel, L,: Evolutionary programming in perspective: The top-down view. In: Zurada, J.M., Marks, R. Jr., Robinson, C. (eds.) Computational Intelligence: Imitating Life. IEEE Press, Piscataway, NJ, USA (1994)
    • (1994) Computational Intelligence: Imitating Life
    • Fogel, L.1
  • 6
    • 0029535737 scopus 로고
    • Particle swarm optimization
    • Perth, Australia, IEEE Service Center, Piscataway, NJ
    • Kennedy, J., Eberhart, R.C.: Particle swarm optimization. IEEE Int. Conf. on Neural Networks, Perth, Australia, IEEE Service Center, Piscataway, NJ, pp. 1942-1948 (1995)
    • (1995) IEEE Int. Conf. on Neural Networks , pp. 1942-1948
    • Kennedy, J.1    Eberhart, R.C.2
  • 8
    • 4344603966 scopus 로고    scopus 로고
    • High performance clustering with differential evolution. In: Proceedings of the IEEE
    • Paterlini, S., Krink, T.: High performance clustering with differential evolution. In: Proceedings of the IEEE Congress on Evolutionary Computation, vol. 2, pp. 2004-2011 (2004)
    • (2004) Congress on Evolutionary Computation , vol.2 , pp. 2004-2011
    • Paterlini, S.1    Krink, T.2
  • 10
    • 55849107940 scopus 로고
    • Differential evolution design for an IIR-filter with requirements for magnitude and group delay
    • International Computer Science Institute, Berkeley, CA
    • Storn, R.: Differential evolution design for an IIR-filter with requirements for magnitude and group delay. Technical Report TR-95-026, International Computer Science Institute, Berkeley, CA (1995)
    • (1995) Technical Report TR-95-026
    • Storn, R.1
  • 13
    • 84944892396 scopus 로고    scopus 로고
    • A memetic pareto evolutionary approach to artificial neural networks
    • Springer
    • Abbass, H., "A memetic pareto evolutionary approach to artificial neural networks" Lecture Notes in Artificial Intelligence, vol. 2256. Springer, pp. 1-12 (2002a)
    • (2002) Lecture Notes in Artificial Intelligence , vol.2256 , pp. 1-12
    • Abbass, H.1
  • 14
    • 4344714817 scopus 로고    scopus 로고
    • A comparative study of differential evolution, particle swarm optimization, and evolutionary algorithms on numerical benchmark problems
    • Vesterstroem, J., Thomsen. R.: A comparative study of differential evolution, particle swarm optimization, and evolutionary algorithms on numerical benchmark problems. Proc. Congr. Evol. Comput., vol. 2, pp. 1980-1987 (2004)
    • (2004) Proc. Congr. Evol. Comput. , vol.2 , pp. 1980-1987
    • Vesterstroem, J.1    Thomsen, R.2
  • 15
    • 0035090747 scopus 로고    scopus 로고
    • An improvement of the standard genetic algorithm fighting premature convergence in continuous optimization
    • DOI 10.1016/S0965-9978(00)00070-3, PII S0965997800000703
    • Andre, J., Siarry. P., Dognon. T.: An improvement of the standard genetic algorithm fighting premature convergence in continuous optimization. Advance in Engineering Software 32, pp. 49-60 (2001) (Pubitemid 34771350)
    • (2001) Advances in Engineering Software , vol.32 , Issue.1 , pp. 49-60
    • Andre, J.1    Siarry, P.2    Dognon, T.3
  • 16
    • 2442513004 scopus 로고    scopus 로고
    • Improvement of real coded genetic algorithm based on differential operators preventing premature convergence
    • Hrstka, O., Kǔcerová. A.: Improvement of real coded genetic algorithm based on differential operators preventing premature convergence. Advance in Engineering Software. 35, 237-246 (2004)
    • (2004) Advance in Engineering Software , vol.35 , pp. 237-246
    • Hrstka, O.1    Kǔcerová, A.2
  • 18
    • 20344375182 scopus 로고    scopus 로고
    • Control of population diversity and adaptation in differential evolution algorithms
    • Matousek, D., Osmera, P., (eds.), Brno, Czech Republic, June
    • th International Conference on Soft Computing, Brno, Czech Republic pp. 41-46, June (2003)
    • (2003) th International Conference on Soft Computing , pp. 41-46
    • Zaharie, D.1
  • 21
    • 33847199831 scopus 로고    scopus 로고
    • Self-adapting control parameters in differential evolution: A comparative study on numerical benchmark problems
    • DOI 10.1109/TEVC.2006.872133
    • Brest, J., Greiner, S., Boškovic. B., Mernik. M., Žumer. V.: Self-adapting Control parameters in differential evolution: a comparative study on numerical benchmark problems. IEEE Transactions on Evolutionary Computation 10(6), 646-657 (2006) (Pubitemid 46445554)
    • (2006) IEEE Transactions on Evolutionary Computation , vol.10 , Issue.6 , pp. 646-657
    • Brest, J.1    Greiner, S.2    Boskovic, B.3    Mernik, M.4    Zumer, V.5
  • 22
    • 32444439450 scopus 로고    scopus 로고
    • Two improved differential evolution schemes for faster global search
    • DOI 10.1145/1068009.1068177, GECCO 2005 - Genetic and Evolutionary Computation Conference
    • Das, S., Konar, A., hakraborty. U.K.: Two improved differential evolution schemes for faster global search. ACM-SIGEVO Proceed-ings of GECCO, Washington D.C., pp. 991-998, June (2005) (Pubitemid 43226406)
    • (2005) GECCO 2005 - Genetic and Evolutionary Computation Conference , pp. 991-998
    • Das, S.1    Konar, A.2    Chakraborty, U.K.3
  • 25
    • 32444442367 scopus 로고    scopus 로고
    • Enhancing differential evolution performance with local search for high dimensional function optimization
    • DOI 10.1145/1068009.1068174, GECCO 2005 - Genetic and Evolutionary Computation Conference
    • Noman, N, Iba, H.: Enhancing differential evolution performance with local search for high dimensional function optimization. in Proc. of the 2005 Conference on Genetic and Evolutionary Computation, pp. 967-974 (June 2005) (Pubitemid 43226403)
    • (2005) GECCO 2005 - Genetic and Evolutionary Computation Conference , pp. 967-974
    • Noman, N.1    Iba, H.2
  • 26
    • 33947634616 scopus 로고    scopus 로고
    • Differential evolution with preferential crossover
    • M.M. Ali,: Differential evolution with preferential crossover. European Journal of Operations Research 181, 1088-1113 (2007)
    • (2007) European Journal of Operations Research , vol.181 , pp. 1088-1113
    • Ali, M.M.1
  • 27
    • 0043268702 scopus 로고    scopus 로고
    • A trigonometric mutation operation to differential evolution
    • Hui-Yuan Fan, Jouni Lampinen. A trigonometric mutation operation to differential evolution. Journal of Global Optimization 27:105-129 (2003)
    • (2003) Journal of Global Optimization , vol.27 , pp. 105-129
    • Hui-Yuan, F.1    Lampinen, J.2
  • 30
    • 34848832935 scopus 로고    scopus 로고
    • Global and local real-coded genetic algorithms based on parent-centric crossover operators
    • DOI 10.1016/j.ejor.2006.06.043, PII S0377221706006308
    • Garcia-Martinez. C., Lozano. M., Herrera. F., Molina. D., Sanchez. A.M.: Global and local real-coded genetic algorithms based on parent-centric crossover operators. European Journal of Operations Research 185, 1088-1113 (2008) (Pubitemid 47498808)
    • (2008) European Journal of Operational Research , vol.185 , Issue.3 , pp. 1088-1113
    • Garcia-Martinez, C.1    Lozano, M.2    Herrera, F.3    Molina, D.4    Sanchez, A.M.5
  • 31
    • 0036885602 scopus 로고    scopus 로고
    • A computationally efficient evolution-ary algorithm for real-parameter optimization
    • Deb. K., Anand. A., Joshi. D.: A computationally efficient evolution-ary algorithm for real-parameter optimization. Evol Comput J. 10(4), 371-395 (2002)
    • (2002) Evol Comput J , vol.10 , Issue.4 , pp. 371-395
    • Deb, K.1    Anand, A.2    Joshi, D.3
  • 32
    • 14844358254 scopus 로고    scopus 로고
    • A population-based algorithm-generator for real-parameter optimization
    • DOI 10.1007/s00500-004-0377-4
    • Deb. K., A population-based algorithm-generator for real-parameter optimization. soft Comput J. 9, 236-253 (2005) (Pubitemid 40351928)
    • (2005) Soft Computing , vol.9 , Issue.4 , pp. 236-253
    • Deb, K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.