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1
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57349099084
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J. Branke and K. Deb. Integrating user preferences into evolutionary multi-objective optimization. In Y. Jin, editor, Knowledge Incorporation in Evolutionary Computation, pages 461-477. Hiedelberg, Germany: Springer, 2004.
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J. Branke and K. Deb. Integrating user preferences into evolutionary multi-objective optimization. In Y. Jin, editor, Knowledge Incorporation in Evolutionary Computation, pages 461-477. Hiedelberg, Germany: Springer, 2004.
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2
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35048874287
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Finding knees in multi-objective optimization
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Heidelberg, Germany: Springer
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J. Branke, K. Deb, H. Dierolf, and M. Osswald. Finding knees in multi-objective optimization. In Parallel Problem Solving from Nature (PPSN-VIII), pages 722-731. Heidelberg, Germany: Springer, 2004.
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(2004)
Parallel Problem Solving from Nature (PPSN-VIII)
, pp. 722-731
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Branke, J.1
Deb, K.2
Dierolf, H.3
Osswald, M.4
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6
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0036530772
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A fast and elitist multi-objective genetic algorithm: NSGA-II
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K. Deb, S. Agrawal, A. Pratap, and T. Meyarivan. A fast and elitist multi-objective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 6(2):182-197, 2002.
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(2002)
IEEE Transactions on Evolutionary Computation
, vol.6
, Issue.2
, pp. 182-197
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Deb, K.1
Agrawal, S.2
Pratap, A.3
Meyarivan, T.4
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9
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72749122175
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Light beam search based multi-objective optimization using evolutionary algorithms
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K. Deb and A. Kumar. Light beam search based multi-objective optimization using evolutionary algorithms. In Proc. of the Congress on Evolutionary Computation (CEC-07), pages 2125-2132, 2007.
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(2007)
Proc. of the Congress on Evolutionary Computation (CEC-07)
, pp. 2125-2132
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Deb, K.1
Kumar, A.2
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10
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33745454026
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Evaluating the e-domination based multi-objective evolutionary algorithm for a quick computation of pareto-optimal solutions
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K. Deb, M. Mohan, and S. Mishra. Evaluating the e-domination based multi-objective evolutionary algorithm for a quick computation of pareto-optimal solutions. Evolutionary Computation Journal, 13(4):501-525, 2005.
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(2005)
Evolutionary Computation Journal
, vol.13
, Issue.4
, pp. 501-525
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Deb, K.1
Mohan, M.2
Mishra, S.3
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11
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34548088235
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Searching for pareto-optimal solutions through dimensionality reduction for certain large-dimensional multi-objective optimization problems
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K. Deb and D. Saxena. Searching for pareto-optimal solutions through dimensionality reduction for certain large-dimensional multi-objective optimization problems. In Proceedings of the World Congress on Computational Intelligence (WCCI-2006), pages 3352-3360, 2006.
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(2006)
Proceedings of the World Congress on Computational Intelligence (WCCI-2006)
, pp. 3352-3360
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Deb, K.1
Saxena, D.2
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12
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34548069243
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Reference point based multi-objective optimization using evolutionary algorithms
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K. Deb, J. Sundar, N. Uday, and S. Chaudhuri. Reference point based multi-objective optimization using evolutionary algorithms. International Journal of Computational Intelligence Research (IJCIR), 2(6):273-286, 2006.
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(2006)
International Journal of Computational Intelligence Research (IJCIR)
, vol.2
, Issue.6
, pp. 273-286
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Deb, K.1
Sundar, J.2
Uday, N.3
Chaudhuri, S.4
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13
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34848886877
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Omni-optimizer: A generic evolutionary algorithm for global optimization
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K. Deb and S. Tiwari. Omni-optimizer: A generic evolutionary algorithm for global optimization. European Journal of Operations Research (EJOR), 185(3):1062-1087, 2008.
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(2008)
European Journal of Operations Research (EJOR)
, vol.185
, Issue.3
, pp. 1062-1087
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Deb, K.1
Tiwari, S.2
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14
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2442507741
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M. Farina and P. Amato. A fuzzy definition of optimality for many-criteria decision-making and optimization problems, submitted to IEEE Trans, on Sys. Man and Cybern., 34(3):315-326, 2004.
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M. Farina and P. Amato. A fuzzy definition of "optimality" for many-criteria decision-making and optimization problems, submitted to IEEE Trans, on Sys. Man and Cybern., 34(3):315-326, 2004.
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17
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0033102253
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The light beam search approach - An overview of methodology and applications
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A. Jaszkiewicz and R. Slowinski. The light beam search approach - An overview of methodology and applications. European Journal of Operation Research, 113:300-314, 1999.
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(1999)
European Journal of Operation Research
, vol.113
, pp. 300-314
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Jaszkiewicz, A.1
Slowinski, R.2
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18
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70349343343
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Multi-objective problem solving from nature
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J. D. Knowles, D. W. Corne, and K. Deb. Eds, Springer-Verlag
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J. D. Knowles, D. W. Corne, and K. Deb. Eds. Multi-objective problem solving from nature. Springer Natural Computing Series, Springer-Verlag, 2008.
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(2008)
Springer Natural Computing Series
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19
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34547327319
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Improved pruning of non-dominated solutions based on crowding distance for bi-objective optimization problems
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S. Kukkonen and K. Deb. Improved pruning of non-dominated solutions based on crowding distance for bi-objective optimization problems. In Proc. of the Congress on Evolutionary Computation (CEC-06), pages 1179 - 1186, 2006.
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(2006)
Proc. of the Congress on Evolutionary Computation (CEC-06)
, pp. 1179-1186
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Kukkonen, S.1
Deb, K.2
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20
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0036715683
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Combining convergence and diversity in evolutionary multi-objective optimization
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M. Laumanns, L. Thiele, K. Deb, and Eckart Zitzler. Combining convergence and diversity in evolutionary multi-objective optimization. Evolutionary Computation, 10(3):263-282, 2002.
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(2002)
Evolutionary Computation
, vol.10
, Issue.3
, pp. 263-282
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Laumanns, M.1
Thiele, L.2
Deb, K.3
Zitzler, E.4
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22
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0034201728
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Multiobjective satisfaction within an interactive evolutionary design enviornment
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I. C. Parmee, D. C. Cevtkovic, A. H. Watson, and C. R. Bonham. Multiobjective satisfaction within an interactive evolutionary design enviornment. Evolutionary Computation Journal, 8(2): 197-222, 2000.
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(2000)
Evolutionary Computation Journal
, vol.8
, Issue.2
, pp. 197-222
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Parmee, I.C.1
Cevtkovic, D.C.2
Watson, A.H.3
Bonham, C.R.4
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