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A fast multi-objective evolutionary algorithm for finding well-spread pareto-optimal solutions
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Deb, K.1
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Error bounds for conditional algorithms in restricted complexity set membership identification
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Garulli, A., Kacewicz, B., Vicino, A., Zappa, G.: Error Bounds for Conditional Algorithms in Restricted Complexity Set Membership Identification. IEEE Transaction on Automatic Control, 45(1) (2000) 160-164
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Membership-set estimation with genetic algorithms in nonlinear models
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Herrero, J.M., Blasco, X., Salcedo, J.V., Ramos, C.: Membership-Set Estimation with Genetic Algorithms in Nonlinear Models. In Proc. of the XV international Conference on Systems Science, (2004)
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Nonlinear parametric model identification with Genetic Algorithms. Application to thermal process
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Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence (Springer)
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Blasco, X., Herrero, J.M., Martínez, M., Senent, J.: Nonlinear parametric model identification with Genetic Algorithms. Application to thermal process. Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence (Springer). Lecture notes in computer science 2084 (2001)
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Combining convergence and diversity in evolutionary multi-objective optimization
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Laumanns, M., Thiele, L., Deb, K., Zitzler, E.: Combining convergence and diversity in evolutionary multi-objective optimization. Evolutionary computation, 10(3) (2002)
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Evolutionary Computation
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Robust identification of aerospace propulsion parameters using optimization techniques based on evolutionary algorithms
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Ram, B., Gupta, H. Bandyopadhyay, P., Deb, K., Adimurthy, V.: Robust Identification of Aerospace Propulsion Parameters using Optimization Techniques based on Evolutionary Algorithms. Technical Report 2003005 KanGAL (2003)
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Comparing different approaches to model error modelling in robust identification
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