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Approximating landscape insensitivity regions in solving ill-conditioned inverse problems.

, , , , and . Memetic Computing, 10 (3): 279-289 (2018)

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Using Covariance Matrix Adaptation Evolutionary Strategy to boost the search accuracy in hierarchic memetic computations., , , and . J. Comput. Science, (2019)Two-Phase Strategy Managing Insensitivity in Global Optimization., , , , and . EvoApplications (1), volume 10199 of Lecture Notes in Computer Science, page 266-281. (2017)Approximating landscape insensitivity regions in solving ill-conditioned inverse problems., , , , and . Memetic Computing, 10 (3): 279-289 (2018)Misfit landforms imposed by ill-conditioned inverse parametric problems., , , and . Computer Science (AGH), 19 (2): 157-178 (2018)Local Misfit Approximation in Memetic Solving of Ill-Posed Inverse Problems., , , and . EvoApplications (1), volume 10199 of Lecture Notes in Computer Science, page 297-309. (2017)Multiwinner Voting in Genetic Algorithms for Solving Ill-Posed Global Optimization Problems., , , and . EvoApplications (1), volume 9597 of Lecture Notes in Computer Science, page 409-424. Springer, (2016)Multiwinner Voting in Genetic Algorithms., , , and . IEEE Intelligent Systems, 32 (1): 40-48 (2017)Approximation of the objective insensitivity regions using Hierarchic Memetic Strategy coupled with Covariance Matrix Adaptation Evolutionary Strategy., , , and . CoRR, (2019)Memetic approach for irremediable ill-conditioned parametric inverse problems*., , , and . ICCS, volume 108 of Procedia Computer Science, page 867-876. Elsevier, (2017)