Works matching DE "GLOBAL optimization"
Results: 2967
HWMWOA: A Hybrid WMA–WOA Algorithm with Adaptive Cauchy Mutation for Global Optimization and Data Classification.
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- International Journal of Information Technology & Decision Making, 2023, v. 22, n. 4, p. 1195, doi. 10.1142/S0219622022500675
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Combining Bayesian optimization and Lipschitz optimization.
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- Machine Learning, 2020, v. 109, n. 1, p. 79, doi. 10.1007/s10994-019-05833-y
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Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering.
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- Journal of Intelligent Manufacturing, 2023, v. 34, n. 8, p. 3523, doi. 10.1007/s10845-022-02016-w
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Boosted Harris Hawks gravitational force algorithm for global optimization and industrial engineering problems.
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- Journal of Intelligent Manufacturing, 2023, v. 34, n. 6, p. 2693, doi. 10.1007/s10845-022-01921-4
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Improved multi-core arithmetic optimization algorithm-based ensemble mutation for multidisciplinary applications.
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- Journal of Intelligent Manufacturing, 2023, v. 34, n. 4, p. 1833, doi. 10.1007/s10845-021-01877-x
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Multi-objective branch-and-bound for the design-for-control of water distribution networks with global bounds.
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- Structural & Multidisciplinary Optimization, 2024, v. 67, n. 5, p. 1, doi. 10.1007/s00158-024-03776-0
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Alternative variable-fidelity acquisition functions for efficient global optimization of black-box functions.
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- Structural & Multidisciplinary Optimization, 2023, v. 66, n. 7, p. 1, doi. 10.1007/s00158-023-03607-8
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A proportional expected improvement criterion-based multi-fidelity sequential optimization method.
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- Structural & Multidisciplinary Optimization, 2023, v. 66, n. 2, p. 1, doi. 10.1007/s00158-022-03484-7
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Radial basis function-assisted adaptive differential evolution using cooperative dual-phase sampling for high-dimensional expensive optimization problems.
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- Structural & Multidisciplinary Optimization, 2022, v. 65, n. 9, p. 1, doi. 10.1007/s00158-022-03337-3
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Efficient aeroelastic wing optimization through a compact aerofoil decomposition approach.
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- Structural & Multidisciplinary Optimization, 2022, v. 65, n. 3, p. 1, doi. 10.1007/s00158-022-03174-4
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Large-scale zone-based approach to global modeling and optimization for a novel thermal management system of module-free lithium-ion battery.
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- Structural & Multidisciplinary Optimization, 2021, v. 64, n. 6, p. 3621, doi. 10.1007/s00158-021-03042-7
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Multi-references acquisition strategy for shape optimization of disc-pad-like mechanical systems.
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- Structural & Multidisciplinary Optimization, 2021, v. 64, n. 4, p. 1863, doi. 10.1007/s00158-021-02947-7
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Parallel multi-fidelity expected improvement method for efficient global optimization.
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- Structural & Multidisciplinary Optimization, 2021, v. 64, n. 3, p. 1457, doi. 10.1007/s00158-021-02931-1
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Multi-objective aerodynamic optimization of high-speed train heads based on the PDE parametric modeling.
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- Structural & Multidisciplinary Optimization, 2021, v. 64, n. 3, p. 1285, doi. 10.1007/s00158-021-02916-0
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Tabu efficient global optimization with applications in additive manufacturing.
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- Structural & Multidisciplinary Optimization, 2021, v. 63, n. 6, p. 2811, doi. 10.1007/s00158-021-02843-0
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Aerodynamic optimization of forward-curved blade centrifugal fan characterized by inclining bionic volute tongue.
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- Structural & Multidisciplinary Optimization, 2021, v. 63, n. 5, p. 2493, doi. 10.1007/s00158-020-02801-2
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A multi-fidelity Bayesian optimization approach based on the expected further improvement.
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- Structural & Multidisciplinary Optimization, 2021, v. 63, n. 4, p. 1709, doi. 10.1007/s00158-020-02772-4
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A systematic design optimization approach for interior permanent magnet machines equipped with novel semi-overlapping windings.
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- Structural & Multidisciplinary Optimization, 2021, v. 63, n. 3, p. 1491, doi. 10.1007/s00158-020-02746-6
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Design optimization of variable stiffness composites by using multi-fidelity surrogate models.
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- Structural & Multidisciplinary Optimization, 2021, v. 63, n. 1, p. 439, doi. 10.1007/s00158-020-02684-3
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Development of an efficient global optimization method based on adaptive infilling for structure optimization.
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- Structural & Multidisciplinary Optimization, 2020, v. 62, n. 6, p. 3383, doi. 10.1007/s00158-020-02716-y
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Data-driven modelling and optimization of stiffeners on undevelopable curved surfaces.
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- Structural & Multidisciplinary Optimization, 2020, v. 62, n. 6, p. 3249, doi. 10.1007/s00158-020-02675-4
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Variable-fidelity probability of improvement method for efficient global optimization of expensive black-box problems.
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- Structural & Multidisciplinary Optimization, 2020, v. 62, n. 6, p. 3021, doi. 10.1007/s00158-020-02646-9
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Truss geometry and topology optimization with global stability constraints.
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- Structural & Multidisciplinary Optimization, 2020, v. 62, n. 4, p. 1721, doi. 10.1007/s00158-020-02634-z
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Towards an efficient global multidisciplinary design optimization algorithm.
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- Structural & Multidisciplinary Optimization, 2020, v. 62, n. 4, p. 1739, doi. 10.1007/s00158-020-02514-6
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A global optimization strategy based on the Kriging surrogate model and parallel computing.
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- Structural & Multidisciplinary Optimization, 2020, v. 62, n. 1, p. 405, doi. 10.1007/s00158-020-02495-6
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Parallelized multiobjective efficient global optimization algorithm and its applications.
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- Structural & Multidisciplinary Optimization, 2020, v. 61, n. 2, p. 763, doi. 10.1007/s00158-019-02417-1
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Hybrid meta-model-based global optimum pursuing method for expensive problems.
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- Structural & Multidisciplinary Optimization, 2020, v. 61, n. 2, p. 543, doi. 10.1007/s00158-019-02373-w
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Multi-objective optimization of a wing fence on an unmanned aerial vehicle using surrogate-derived gradients.
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- Structural & Multidisciplinary Optimization, 2020, v. 61, n. 1, p. 353, doi. 10.1007/s00158-019-02364-x
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An efficient kriging modeling method for high-dimensional design problems based on maximal information coefficient.
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- Structural & Multidisciplinary Optimization, 2020, v. 61, n. 1, p. 39, doi. 10.1007/s00158-019-02342-3
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Adaptive solution of truss layout optimization problems with global stability constraints.
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- Structural & Multidisciplinary Optimization, 2019, v. 60, n. 5, p. 2093, doi. 10.1007/s00158-019-02312-9
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A novel global optimization algorithm and data-mining methods for turbomachinery design.
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- Structural & Multidisciplinary Optimization, 2019, v. 60, n. 2, p. 581, doi. 10.1007/s00158-019-02227-5
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Efficient global optimization and modal strain energy coefficient-based algorithm for fast prediction of dynamic aeroelastic loads.
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- Structural & Multidisciplinary Optimization, 2019, v. 60, n. 2, p. 817, doi. 10.1007/s00158-019-02239-1
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Monte Carlo integration with adaptive variance selection for improved stochastic efficient global optimization.
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- Structural & Multidisciplinary Optimization, 2019, v. 60, n. 1, p. 245, doi. 10.1007/s00158-019-02212-y
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Constrained mixed-integer Gaussian mixture Bayesian optimization and its applications in designing fractal and auxetic metamaterials.
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- Structural & Multidisciplinary Optimization, 2019, v. 59, n. 6, p. 2131, doi. 10.1007/s00158-018-2182-1
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Penalty functions and two-step selection procedure based DIRECT-type algorithm for constrained global optimization.
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- Structural & Multidisciplinary Optimization, 2019, v. 59, n. 6, p. 2155, doi. 10.1007/s00158-018-2181-2
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A study of Nash-EGO algorithm for aerodynamic shape design optimizations.
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- Structural & Multidisciplinary Optimization, 2019, v. 59, n. 4, p. 1241, doi. 10.1007/s00158-018-2126-9
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Efficient global optimization with ensemble and selection of kernel functions for engineering design.
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- Structural & Multidisciplinary Optimization, 2019, v. 59, n. 1, p. 93, doi. 10.1007/s00158-018-2053-9
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A modified hypervolume based expected improvement for multi-objective efficient global optimization method.
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- Structural & Multidisciplinary Optimization, 2018, v. 58, n. 5, p. 1961, doi. 10.1007/s00158-018-2006-3
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A RBF-based constrained global optimization algorithm for problems with computationally expensive objective and constraints.
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- Structural & Multidisciplinary Optimization, 2018, v. 58, n. 4, p. 1633, doi. 10.1007/s00158-018-1987-2
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Variable-fidelity expected improvement method for efficient global optimization of expensive functions.
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- Structural & Multidisciplinary Optimization, 2018, v. 58, n. 4, p. 1431, doi. 10.1007/s00158-018-1971-x
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Ensemble of surrogate based global optimization methods using hierarchical design space reduction.
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- Structural & Multidisciplinary Optimization, 2018, v. 58, n. 2, p. 537, doi. 10.1007/s00158-018-1906-6
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On efficient global optimization via universal Kriging surrogate models.
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- Structural & Multidisciplinary Optimization, 2018, v. 57, n. 6, p. 2377, doi. 10.1007/s00158-017-1867-1
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Surrogate-based global optimization using an adaptive switching infill sampling criterion for expensive black-box functions.
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- Structural & Multidisciplinary Optimization, 2018, v. 57, n. 4, p. 1443, doi. 10.1007/s00158-018-1942-2
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A multi-point sampling method based on kriging for global optimization.
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- Structural & Multidisciplinary Optimization, 2017, v. 56, n. 1, p. 71, doi. 10.1007/s00158-017-1648-x
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Finite element model updating of honeycomb sandwich plates using a response surface model and global optimization technique.
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- Structural & Multidisciplinary Optimization, 2017, v. 55, n. 1, p. 121, doi. 10.1007/s00158-016-1479-1
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Balancing diversity and performance in global optimization.
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- Structural & Multidisciplinary Optimization, 2016, v. 54, n. 4, p. 1093, doi. 10.1007/s00158-016-1434-1
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Investigation on parallel algorithms in efficient global optimization based on multiple points infill criterion and domain decomposition.
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- Structural & Multidisciplinary Optimization, 2016, v. 54, n. 4, p. 747, doi. 10.1007/s00158-016-1441-2
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Parallel surrogate-assisted global optimization with expensive functions - a survey.
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- Structural & Multidisciplinary Optimization, 2016, v. 54, n. 1, p. 3, doi. 10.1007/s00158-016-1432-3
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Requirements for papers focusing on new or improved global optimization algorithms.
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- Structural & Multidisciplinary Optimization, 2016, v. 54, n. 1, p. 1, doi. 10.1007/s00158-016-1491-5
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Symmetry analysis for structural optimization problems involving reliability measure and bi-modulus materials.
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- Structural & Multidisciplinary Optimization, 2016, v. 53, n. 5, p. 973, doi. 10.1007/s00158-015-1327-8
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