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YOHANES BIMO DWIANTO

Institut Teknologi Bandung S1 - Teknik Dirgantara SINTA ID : 6874971
315
SINTA Score Overall
65
SINTA Score 3Yr
315
Affil Score
65
Affil Score 3Yr
Latest number of Publication and Citations
Multi-Objective Kriging-Based Optimization For Impeller Centrifugal Compressor
Authors : M Jayadi, P Palar, Y Dwianto Proceedings of the 2nd International Conference on Aviation Industry …, 2024
2024 0 cited
On the Advantages of Searching Infeasible Regions in Constrained Evolutionary-Based Multi-Objective Engineering Optimization
Authors : Y Bimo Dwianto, P Satria Palar, L Rizki Zuhal, A Oyama Journal of Mechanical Design 146 (4), 2024
2024 0 cited
Multi-objective design space exploration using explainable surrogate models
Authors : PS Palar, YB Dwianto, LR Zuhal, J Morlier, K Shimoyama, S Obayashi Structural and Multidisciplinary Optimization 67 (3), 38, 2024
2024 7 cited
Discovering chiral auxetic structures with near-zero Poisson's ratio using an active learning strategy
Authors : O Jirousek, J Falta, YB Dwianto, PS Palar Materials & Design 244, 113133, 2024
2024 0 cited
Shapley additive explanations for knowledge discovery via surrogate models
Authors : PS Palar, LR Zuhal, K Shimoyama, YB Dwianto, J Morlier AIAA SCITECH 2023 Forum, 0332, 2023
2023 2 cited
Design exploration of additively manufactured chiral auxetic structure using explainable machine learning
Authors : O Jirousek, PS Palar, J Falta, YB Dwianto Materials & Design 232, 112128, 2023
2023 8 cited
Maximizing the thrust performance of flexible caudal fin panels via experimental optimization
Authors : L Fathurrohim, LR Zuhal, PS Palar, YB Dwianto Ocean Engineering 266, 112969, 2022
2022 2 cited
Adaptively Preserving Solutions in Feasible and Infeasible Regions for Solving Severely Constrained Engineering Design Optimization Problems
Authors : YB DWIANTO 東京大学, 2020
2020 0 cited
Adaptively preserving solutions in both feasible and infeasible regions on generalized multiple constraint ranking
Authors : YB Dwianto, H Fukumoto, A Oyama Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 690-698, 2020
2020 4 cited
On improving the constraint-handling performance with modified multiple constraint ranking (MCR-mod) for engineering design optimization problems solved by evolutionary algorithms
Authors : YB Dwianto, H Fukumoto, A Oyama Proceedings of the Genetic and Evolutionary Computation Conference, 762-770, 2019
2019 7 cited
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Summary

Article Quartile
Research Output
  Scopus GScholar WOS
Article 13 16 0
Citation 46 66 0
Cited Document 10 10 0
H-Index 4 5
i10-Index 1 1
G-Index 1 1
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