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The balance between proximity and diversity in multiobjective evolutionary algorithms
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0036530772
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A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II
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Deb, K., Pratap, A., Agrawal, S., Meyarivan, T.: A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation 6(2), 182-197 (2002)
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Deb, K.1
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36549051604
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On the evolutionary optimisation of many conflicting objectives
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Purshouse, R.C., Fleming, P.J.: On the evolutionary optimisation of many conflicting objectives. IEEE Trans Evolutionary Computation 11(6), 770-784 (2007)
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Evolutionary many-objective optimisation: An exploratory analysis
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IEEE Neural Networks Council (ed.), IEEE Service Center, Piscataway
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Purshouse, R.C., Fleming, P.J.: Evolutionary many-objective optimisation: An exploratory analysis. In: IEEE Neural Networks Council (ed.), Proceedings of the 2003 Congress on Evolutionary Computation (CEC 2003). IEEE Service Center, Piscataway (2003)
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Purshouse, R.C.1
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0002284602
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An investigation of niche and species formation in genetic function optimization
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Schaffer, J.D. (ed.) Morgan Kaufmann, San Francisco
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Deb, K., Goldberg, D.E.: An investigation of niche and species formation in genetic function optimization. In: Schaffer, J.D. (ed.) Proceedings of the Third International Conference on Genetic Algorithms, pp. 42-50. Morgan Kaufmann, San Francisco (1989)
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Deb, K.1
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6
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0034863644
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Failure of Pareto-based MOEAs: Does nondominated really mean near to optimal?
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IEEE Neural Networks Council (ed.), IEEE Service Center, Piscataway
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Ikeda, K., Kita, H., Kobayashi, S.: Failure of Pareto-based MOEAs: Does nondominated really mean near to optimal? In: IEEE Neural Networks Council (ed.), Proceedings of the 2001 Congress on Evolutionary Computation (CEC 2001), vol. 2, pp. 957-962. IEEE Service Center, Piscataway (2001)
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Ikeda, K.1
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84901420886
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Scalable Multi-Objective Optimization Test Problems
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IEEE Service Center, Piscataway
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Deb, K., Thiele, L., Laumanns, M., Zitzler, E.: Scalable Multi-Objective Optimization Test Problems. In: Proceedings of the 2002 Congress on Evolutionary Computation (CEC 2002). IEEE Service Center, Piscataway (2002)
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Deb, K.1
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Simulated Binary Crossover for Continuous Search Space
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Deb, K., Agrawal, R.B.: Simulated Binary Crossover for Continuous Search Space. Complex Systems 9, 115-148 (1995)
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Deb, K.1
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Performance scaling of multi-objective evolutionary algorithms
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Fonseca, C.M., Fleming, P.J., Zitzler, E., Deb, K., Thiele, L. (eds.) EMO 2003. Springer, Heidelberg
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Khare, V., Yao, X., Deb, K.: Performance scaling of multi-objective evolutionary algorithms. In: Fonseca, C.M., Fleming, P.J., Zitzler, E., Deb, K., Thiele, L. (eds.) EMO 2003. LNCS, vol. 2632, pp. 376-390. Springer, Heidelberg (2003)
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Khare, V.1
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A combined genetic adaptive search (geneAS) for engineering design
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Deb, K., Goyal, M.: A combined genetic adaptive search (geneAS) for engineering design. Computer Science and Informatics 26(4), 30-45 (1996)
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Computer Science and Informatics
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Deb, K.1
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0031701082
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Multiobjective Optimization and Multiple Constraint Handling with Evolutionary Algorithms - Part I: A Unified Formulation
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Fonseca, C.M., Fleming, P.J.: Multiobjective Optimization and Multiple Constraint Handling with Evolutionary Algorithms - Part I: A Unified Formulation. IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans 28(1), 26-37 (1998)
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Fonseca, C.M.1
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Integrating user preferences into evolutionary multiobjective optimization
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Jin, Y. (ed.) Springer, Heidelberg
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Branke, J., Deb, K.: Integrating user preferences into evolutionary multiobjective optimization. In: Jin, Y. (ed.) Knowledge Incorporation in Evolutionary Computation, pp. 461-477. Springer, Heidelberg (2004)
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Branke, J.1
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Genetic Diversity as an Objective in Multi-objective Evolutionary Algorithms
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Toffolo, A., Benini, E.: Genetic Diversity as an Objective in Multi-objective Evolutionary Algorithms. Evolutionary Computation Journal 11(2), 151-167
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SPEA2: Improving the Strength Pareto Evolutionary Algorithm for Multiobjective Optimization
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Zitzler, E., Laumanns, M., Thiele, L.: SPEA2: Improving the Strength Pareto Evolutionary Algorithm for Multiobjective Optimization. In: Giannakoglou, K.C., et al. (eds.) Evolutionary Methods for Design, Optimisation and Control with Application to Industrial Problems (EUROGEN 2001), pp. 95-100 (2001)
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