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A population-based algorithm-generator for real-parameter optimization
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K. Deb. A population-based algorithm-generator for real-parameter optimization. Soft Computing, in press.
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Soft Computing
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Deb, K.1
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A Population-Based, Steady-State Procedure for Real-Parameter Optimization
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Honolulu, HI, USA
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A. Sinha, S. Tiwari, and K. Deb A Population-Based, Steady-State Procedure for Real-Parameter Optimization. In Proceedings of the 2002 Congress on Evolutionary Computation (IEEE CEC-02), Honolulu, HI, USA, 2002.
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Proceedings of the 2002 Congress on Evolutionary Computation (IEEE CEC-02)
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Sinha, A.1
Tiwari, S.2
Deb, K.3
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4
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Collective intelligence in evolving systems
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W. Wolff, C. J. Soeder, and F. Drepper, editors, Berlin: Springer
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H.-P. Schwefel. Collective intelligence in evolving systems. In W. Wolff, C. J. Soeder, and F. Drepper, editors, Ecodynamics Contributions to Theoretical Ecology, pages 95-100. Berlin: Springer, 1987.
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Schwefel, H.-P.1
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Differential evolution - A fast and effi cient heuristic for global optimization over continuous spaces
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R. Storn and K. Price. Differential evolution - A fast and effi cient heuristic for global optimization over continuous spaces. Journal of Global Optimization, 11:341-359, 1997.
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Journal of Global Optimization
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Storn, R.1
Price, K.2
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6
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Real-coded evolutionary algorithms with parent-centric recombination
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Honolulu, HI, USA
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K. Deb, D. Joshi, and A. Anand. Real-coded evolutionary algorithms with parent-centric recombination. In Proceedings of the 2002 Congress on Evolutionary Computation (IEEE CEC-02), Honolulu, HI, USA, 2002.
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(2002)
Proceedings of the 2002 Congress on Evolutionary Computation (IEEE CEC-02)
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Deb, K.1
Joshi, D.2
Anand, A.3
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7
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The CHC adaptive search algorithm, how to have safe search when engaging in nontraditional genetic recombination
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L. Eshelman. The CHC adaptive search algorithm, how to have safe search when engaging in nontraditional genetic recombination. Foundations of Genetic Algorithms, pages 265-283, 1991.
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Eshelman, L.1
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8
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0040445957
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A combined genetic adaptive search (GeneAS) for engineering design
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K. Deb and M. Goyal. A combined genetic adaptive search (GeneAS) for engineering design. Computer Science and Informatics, 26(4):30-45, 1996.
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(1996)
Computer Science and Informatics
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Deb, K.1
Goyal, M.2
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11
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0031122888
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New York: IEEE
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T. Back, U. Hammel and H. Schwefel IEEE Transaction on Evolutionary Computation, Vol. 1. No. 1, pages 3-17, New York: IEEE, 1997.
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(1997)
IEEE Transaction on Evolutionary Computation
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Back, T.1
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