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[vc_empty_space][vc_btn title=”Lihat Profil Scopus” style=”gradient-custom” gradient_custom_color_1=”#00316d” gradient_custom_color_2=”#2071ea” size=”sm” align=”center” css_animation=”bounceInDown” link=”url:https%3A%2F%2Fwww.scopus.com%2Fauthid%2Fdetail.uri%3FauthorId%3D6507210729||target:%20_blank|”][/vc_column_inner][/vc_row_inner][vc_row_inner css=”.vc_custom_1624510077690{border-right-width: 1px !important;padding-top: 32px !important;border-right-color: #b2b2b2 !important;border-right-style: solid !important;border-radius: 1px !important;}”][/vc_row_inner][/vc_column][vc_column width=”2/3″][vc_row_inner][vc_column_inner css=”.vc_custom_1624509956940{border-left-width: 1px !important;border-left-color: #969696 !important;border-left-style: solid !important;border-radius: 1px !important;}”][megatron_heading title=”Lavi Rizki Zuhal” size=”size-md” sub_title=”FTMD” text_align=”text-left”][vc_separator][/vc_column_inner][/vc_row_inner][vc_column_text]Energy Engineering and Power Technology • Electrical and Electronic Engineering • Mechanical Engineering • Mechanics of Materials • Software • Space and Planetary Science • Artificial Intelligence • Computer Science Applications • Computer Networks and Communications • Control and Systems Engineering • Computational Mathematics • Theoretical Computer Science • Industrial and Manufacturing Engineering • Building and Construction • Civil and Structural Engineering • Safety, Risk, Reliability and Quality • Aerospace Engineering • Fluid Flow and Transfer Processes • Architecture • Materials Science (all) • Engineering (all) • Physics and Astronomy (all) • Computer Science (all)[/vc_column_text][/vc_column][/vc_row][vc_row layout=”boxed” css=”.vc_custom_1624522217430{margin-top: 20px !important;}”][vc_column][vc_tta_tabs style=”classic” color=”blue” spacing=”5″ active_section=”1″ no_fill_content_area=”true”][vc_tta_section i_type=”fontawesome” i_icon_fontawesome=”fa fa-book” add_icon=”true” title=”Karya” tab_id=”karya”][vc_empty_space height=”20px”][vc_column_text]
Benchmarking multi-objective bayesian global optimization strategies for aerodynamic design
Lavi Rizki Zuhal,Cahya Amalinadhi,Yohanes Bimo Dwianto,Pramudita Satria Palar,Koji Shimoyama
AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2018 vol:, issue:6.2018-0914, page:1-
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Evolutionary algorithm based multi-objective aerodynamics optimization method for low reynolds number airfoil
Lavi R. Zuhal,Yohanes Bimo Dwianto,Pramudita Satria Palar
Applied Mechanics and Materials vol:660, issue:AMM.660.487, page:1-491
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A comparative study of multi-objective expected improvement for aerodynamic design
Lavi Rizki Zuhal,Pramudita Satria Palar,Koji Shimoyama
Aerospace Science and Technology vol:91, issue:j.ast.2019.05.044, page:1-560
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Fast and adaptive reliability analysis via kriging and partial least squares
Lavi R. Zuhal,Ghifari Adam Faza,Pramudita Satria Palar,Rhea Patricia Liem
AIAA Scitech 2021 Forum vol:, issue:, page:1-11
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Multi-objective kriging-based optimization for high-fidelity wind turbine design
Lavi Rizki Zuhal,Ghifari Adam Faza,Pramudita Satria Palar,Koji Shimoyama
AIAA Scitech 2019 Forum vol:, issue:6.2019-0539, page:1-
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Gradient-enhanced universal kriging with polynomial chaos as trend function
Lavi R. Zuhal,Kemas Zakaria,Pramudita Satria Palar,Koji Shimoyama,Rhea Patricia Liem
AIAA Scitech 2020 Forum vol:1 PartF, issue:6.2020-1865, page:1-
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Flutter speed determination of two degree of freedom model using discrete vortex method
Lavi R. Zuhal,Eky Valentian Febrianto,Duong Viet Dung
Applied Mechanics and Materials vol:660, issue:AMM.660.639, page:1-643
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Core spreading vortex method for simulating 3D flow around bluff bodies
Lavi R. Zuhal,Duong V. Dung,Hari Muhammad,Alex J. Sepnov
Journal of Engineering and Technological Sciences vol:46, issue:j.eng.technol.sci.2014.46.4.7, page:1-454
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Benchmarking constrained surrogate-based optimization on low speed airfoil design problems
Pramudita Satria Palar,Lavi Rizki Zuhal,Yohanes Bimo Dwianto,Rommel G. Regis,Akira Oyama
GECCO 2019 Companion – Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion vol:, issue:3319619.3326829, page:1-1998
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Global sensitivity analysis via multi-fidelity polynomial chaos expansion
Pramudita Satria Palar,Lavi Rizki Zuhal,Koji Shimoyama,Takeshi Tsuchiya
Reliability Engineering and System Safety vol:170, issue:j.ress.2017.10.013, page:1-190
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Vortex in cell method to predict flutter phenomenon of 2d bridge deck model
Eky V. Febrianto,Lavi R. Zuhal
ARPN Journal of Engineering and Applied Sciences vol:12, issue:, page:1-3045
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Numerical simulation of flow around two tandem cylinders by vortex in cell method combined with immersed boundary method
Nguyen Van Luc,Lavi Rizki Zuhal,Tomomi Uchiyama
Advances and Applications in Fluid Mechanics vol:19, issue:FM019040787, page:1-810
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Two-dimensional fast Lagrangian vortex method for simulating flows around a moving boundary
Duong Viet Dung,Lavi R. Zuhal,Hari Muhammad
Journal of Mechanical Engineering vol:12, issue:, page:1-46
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Flow field around asymmetric flapping flat plate optimized using micro genetic algorithm
Pramudita Satria Palar,Lavi Rizki Zuhal
52nd Aerospace Sciences Meeting vol:, issue:6.2014-0745, page:1-
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Flow field around asymmetric flapping flat plate optimized using micro genetic algorithm
Pramudita Satria Palar,Lavi Rizki Zuhal
52nd AIAA Aerospace Sciences Meeting – AIAA Science and Technology Forum and Exposition, SciTech 2014 vol:, issue:, page:1-
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Simulation of moving flat plate with unsteady translational motion using vortex method
A.F. Widodo,L.R. Zuhal
AIP Conference Proceedings vol:1558, issue:1.4825424, page:1-77
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Simulation of flow around a flapping wing using two-dimensional vortex method
Akhmad Farid Widodo,Lavi Rizki Zuhal,Hari Muhammad
Journal of Mechanical Engineering vol:10, issue:, page:1-20
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Uncertainty quantification methods for evolutionary optimization under uncertainty
Pramudita Satria Palar,Lavi Rizki Zuhal,Koji Shimoyama
GECCO 2020 Companion – Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion vol:, issue:3377929.3398114, page:1-1622
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Gaussian process surrogate model with composite kernel learning for engineering design
Pramudita Satria Palar,Lavi Rizki Zuhal,Koji Shimoyama
AIAA Journal vol:58, issue:1.J058807, page:1-1880
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On the impact of covariance functions in multi-objective bayesian optimization for engineering design
Pramudita Satria Palar,Lavi Rizki Zuhal,Tinkle Chugh,Alma Rahat
AIAA Scitech 2020 Forum vol:1 PartF, issue:6.2020-1867, page:1-13
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On the use of metaheuristics in hyperparameters optimization of Gaussian processes
Pramudita Satria Palar,Lavi Rizki Zuhal,Koji Shimoyama
GECCO 2019 Companion – Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion vol:, issue:3319619.3322012, page:1-264
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On the use of surrogate models in engineering design optimization and exploration: The key issues
Pramudita Satria Palar,Lavi Rizki Zuhal,Rhea Patricia Liem,Koji Shimoyama
GECCO 2019 Companion – Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion vol:, issue:3319619.3326813, page:1-1602
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Optimization of the aft-body geometry of axi-symmetric slender body based on wave drag considerations
Harijono Djojodihardjo,Eddy Priyono,Lavi R. Zuhal
ICAS-Secretariat – 25th Congress of the International Council of the Aeronautical Sciences 2006 vol:3, issue:, page:1-1597
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A multi-objective approach for robust structural topology optimization
None Nathan,Pramudita Satria Palar,Lavi Rizki Zuhal
AIAA Scitech 2021 Forum vol:, issue:, page:1-16
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Gaussian processes and support vector regression for uncertainty quantification in aerodynamics
Pramudita Satria Palar,Kemas Zakaria,Lavi Rizki Zuhal,Koji Shimoyama,Rhea Patricia Liem
AIAA Scitech 2021 Forum vol:, issue:, page:1-
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Framework for robust optimization combining surrogate model, memetic algorithm, and uncertainty quantification
Pramudita Satria Palar,Yohanes Bimo Dwianto,Lavi Rizki Zuhal,Takeshi Tsuchiya
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) vol:9712 LNCS, issue:978-3-319-41000-5_5, page:1-55
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Heteroscedastic gaussian process regression using nearest neighbor point estimates
Muhammad Daffa Robani,Pramudita Satria Palar,Lavi Rizki Zuhal
AIAA Scitech 2021 Forum vol:, issue:6.2021-1589, page:1-18
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