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Keywords: Bayesian optimization
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Journal Articles
Article Type: Research Papers
J. Mech. Des. January 2022, 144(1): 011703.
Paper No: MD-20-1759
Published Online: August 11, 2021
...Arpan Biswas; Claudio Fuentes; Christopher Hoyle Bayesian optimization (BO) is a low-cost global optimization tool for expensive black-box objective functions, where we learn from prior evaluated designs, update a posterior surrogate Gaussian process model, and select new designs for future...
Journal Articles
Article Type: Research Papers
J. Mech. Des. March 2021, 143(3): 031716.
Paper No: MD-20-1404
Published Online: February 8, 2021
...Arpan Biswas; Christopher Hoyle The paper presents a novel approach to applying Bayesian Optimization (BO) in predicting an unknown constraint boundary, also representing the discontinuity of an unknown function, for a feasibility check on the design space, thereby representing a classification...
Includes: Supplementary data
Journal Articles
Article Type: Research Papers
J. Mech. Des. July 2021, 143(7): 071702.
Paper No: MD-20-1498
Published Online: February 5, 2021
... algorithms for solving such problems are heuristic methods. In this paper, a surrogate-based discrete Bayesian optimization method is developed to perform network design, where the most trustworthy CPSS network with respect to a reference node is formed to collaborate and share information...
Journal Articles
Article Type: Research Papers
J. Mech. Des. May 2021, 143(5): 051705.
Paper No: MD-20-1093
Published Online: November 17, 2020
... decomposition (EEMD), long short-term memory (LSTM) neural networks, and Bayesian optimization (BO). To improve the predictability of stochastic and nonstationary time series, the EEMD method is implemented to decompose the original time series into several components (each component is a single-frequency...
Journal Articles
Article Type: Research Papers
J. Mech. Des. September 2020, 142(9): 091703.
Paper No: MD-19-1459
Published Online: March 30, 2020
...Leshi Shu; Ping Jiang; Xinyu Shao; Yan Wang Bayesian optimization is a metamodel-based global optimization approach that can balance between exploration and exploitation. It has been widely used to solve single-objective optimization problems. In engineering design, making trade-offs between...
Journal Articles
Article Type: Research Papers
J. Mech. Des. December 2019, 141(12): 121001.
Paper No: MD-19-1167
Published Online: September 30, 2019
...Soumalya Sarkar; Sudeepta Mondal; Michael Joly; Matthew E. Lynch; Shaunak D. Bopardikar; Ranadip Acharya; Paris Perdikaris This paper proposes a machine learning–based multifidelity modeling (MFM) and information-theoretic Bayesian optimization approach where the associated models can have complex...
Journal Articles
Article Type: Research Papers
J. Mech. Des. December 2019, 141(12): 121701.
Paper No: MD-19-1029
Published Online: September 26, 2019
... generation, design clustering, and Bayesian optimization. In the first step, a conceptual design is generated using the hybrid cellular automaton (HCA) algorithm. In the second step, threshold-based cluster analysis yields a lower-dimensional design. Here, a cluster validity index for structural optimization...
Journal Articles
Article Type: Technical Briefs
J. Mech. Des. November 2019, 141(11): 114502.
Paper No: MD-19-1149
Published Online: September 16, 2019
... on problem metadata and refines them for the current problem using a Bayesian optimization approach. The approach is demonstrated for a simple topology optimization problem with the objective of achieving good topology optimization solution quality and then with the additional objective of finding an optimal...
Journal Articles
Article Type: Research-Article
J. Mech. Des. November 2018, 140(11): 111416.
Paper No: MD-18-1252
Published Online: October 1, 2018
...-dimensional latent variables serve as design variables, and a Bayesian optimization framework is applied to obtain microstructures with desired material property. Due to the special design of the network architecture, the proposed methodology is able to identify the latent (design) variables with desired...