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Volumn 37, Issue 2, 1999, Pages 261-267

Using the Two-Branch Tournament Genetic Algorithm for Multiobjective Design

Author keywords

[No Author keywords available]

Indexed keywords

GENETIC ALGORITHMS; OPTIMIZATION; PARETO PRINCIPLE; PROBLEM SOLVING;

EID: 0033078584     PISSN: 00011452     EISSN: None     Source Type: Journal    
DOI: 10.2514/2.699     Document Type: Article
Times cited : (62)

References (15)
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    • (1906) Manuale di Economia Politica
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  • 2
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    • Macmillan, New York
    • Pareto, V., "General Notion of Economic Equilibrium," Manuale di Economia Politica, Societa Editrice Libraria, Milan, Italy, 1906 (translated to English by A. S. Schwier, Manual of Political Economy, Macmillan, New York, 1971), pp. 103-180.
    • (1971) Manual of Political Economy , pp. 103-180
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  • 4
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    • Multiple Objective Optimization with Vector Evaluated Genetic Algorithms
    • edited by J. J. Grefenstette, Lawrence Erlbaum Publishers, Northvale, NJ
    • Schaffer, J. D., "Multiple Objective Optimization with Vector Evaluated Genetic Algorithms," Proceedings of the First International Conference on Genetic Algorithms and Their Applications, edited by J. J. Grefenstette, Lawrence Erlbaum Publishers, Northvale, NJ, 1985, pp. 93-100.
    • (1985) Proceedings of the First International Conference on Genetic Algorithms and Their Applications , pp. 93-100
    • Schaffer, J.D.1
  • 6
    • 0002629429 scopus 로고
    • An Overview of Evolutionary Algorithms in Multiobjective Optimization
    • Fonseca, C. M., and Fleming, P. J., "An Overview of Evolutionary Algorithms in Multiobjective Optimization," Evolutionary Computation, Vol. 3, No. 1, 1995, pp. 1-16.
    • (1995) Evolutionary Computation , vol.3 , Issue.1 , pp. 1-16
    • Fonseca, C.M.1    Fleming, P.J.2
  • 8
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    • Selecting Pareto-Optimal Gains for a Simple Control System Using a Genetic Algorithm
    • Jan.
    • Norris, S., and Crossley. W. A., "Selecting Pareto-Optimal Gains for a Simple Control System Using a Genetic Algorithm," AIAA Paper 98-1010, Jan. 1998.
    • (1998) AIAA Paper 98-1010
    • Norris, S.1    Crossley, W.A.2
  • 9
    • 84983127568 scopus 로고    scopus 로고
    • A Study of Adaptive Penalty Functions for Constrained Genetic Algorithm Based Optimization
    • Jan.
    • Crossley, W. A., and Williams, E. A., "A Study of Adaptive Penalty Functions for Constrained Genetic Algorithm Based Optimization," AIAA Paper 97-0083, Jan. 1997.
    • (1997) AIAA Paper 97-0083
    • Crossley, W.A.1    Williams, E.A.2
  • 10
    • 0042105161 scopus 로고
    • NATO/Deutsche Forschungsgemeinschaft (DFG) Advanced Study Inst., Univ. of Essen, Berchtesgaden, Germany, Sept.-Oct.
    • Venkayya, V. B., "Benchmark Studies Using Various Optimization Algorithms," NATO/Deutsche Forschungsgemeinschaft (DFG) Advanced Study Inst., Univ. of Essen, Berchtesgaden, Germany, Sept.-Oct. 1991.
    • (1991) Benchmark Studies Using Various Optimization Algorithms
    • Venkayya, V.B.1
  • 11
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  • 13
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    • Empirically-Derived Population Size and Mutation Rate Guidelines for a Algorithm with Uniform Crossover
    • edited by P. K. Chawdhry, R. Roy, and R. K. Pant, Springer-Verlag, Berlin
    • Williams, E. A., and Crossley, W. A., "Empirically-Derived Population Size and Mutation Rate Guidelines for a Algorithm with Uniform Crossover," Soft Computing in Engineering Design and Manufacturing, edited by P. K. Chawdhry, R. Roy, and R. K. Pant, Springer-Verlag, Berlin, 1998, pp. 163-172.
    • (1998) Soft Computing in Engineering Design and Manufacturing , pp. 163-172
    • Williams, E.A.1    Crossley, W.A.2
  • 14
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  • 15
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    • Cheng, F.Y.1    Li, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.