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Journal Articles
Journal:
Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. October 2024, 146(10): 102301.
Paper No: MD-23-1389
Published Online: March 18, 2024
Topics:
Design
Journal Articles
Journal:
Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. May 2024, 146(5): 051711.
Paper No: MD-23-1466
Published Online: March 18, 2024
Journal Articles
Journal:
Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. May 2024, 146(5): 051712.
Paper No: MD-23-1477
Published Online: March 18, 2024
Journal Articles
Journal:
Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. October 2024, 146(10): 101704.
Paper No: MD-23-1686
Published Online: March 18, 2024
Journal Articles
Journal:
Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. October 2024, 146(10): 101705.
Paper No: MD-23-1728
Published Online: March 18, 2024
Journal Articles
Journal:
Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. October 2024, 146(10): 101706.
Paper No: MD-23-1836
Published Online: March 18, 2024
Image
in ERGO-II: An Improved Bayesian Optimization Technique for Robust Design With Multiple Objectives, Failed Evaluations, and Stochastic Parameters
> Journal of Mechanical Design
Published Online: March 18, 2024
Fig. 1 Schematic representation of the partitioning of the area outside of the Pareto front (bottom-left) of two contesting objectives in disjoint cells. The light and dark areas (bottom-left) respectively correspond to the area where the Pareto front can be improved and the exclusive hypervolume ... More about this image found in Schematic representation of the partitioning of the area outside of the Par...
Image
in ERGO-II: An Improved Bayesian Optimization Technique for Robust Design With Multiple Objectives, Failed Evaluations, and Stochastic Parameters
> Journal of Mechanical Design
Published Online: March 18, 2024
Fig. 2 Comparison of the first-order uncorrelated and second-order correlated predictive variance of the aleatoric mean and variance of the Gaussian process predictor trained from eight equidistant samples for test function y ( x ) = ( 6 x − 2 ) 2 sin ( 12 x − 4 ... More about this image found in Comparison of the first-order uncorrelated and second-order correlated pred...
Image
in ERGO-II: An Improved Bayesian Optimization Technique for Robust Design With Multiple Objectives, Failed Evaluations, and Stochastic Parameters
> Journal of Mechanical Design
Published Online: March 18, 2024
Fig. 3 Comparison of the surrogate-assisted SOFM (Eq. (3 a ) ) and SOSM (Eq. (3 b ) ) predictions with the exact mean and variance of the problem presented in Fig. 2 for which the evaluations fail at x < 0.2 . The predictions in by means of a GPC modeled non-evaluable region are omit... More about this image found in Comparison of the surrogate-assisted SOFM (Eq. (3 a ) ) and SOSM (Eq. (3 ...
Image
in ERGO-II: An Improved Bayesian Optimization Technique for Robust Design With Multiple Objectives, Failed Evaluations, and Stochastic Parameters
> Journal of Mechanical Design
Published Online: March 18, 2024
Fig. 4 Illustration of the effect of the activation function A ( x | X ) (Eq. (12 a ) ) and the classifier q ( c ( x ) = 1 | S c ) (Eq. (18) ) on the REI for the problem presented in Figs. 2 and 3 More about this image found in Illustration of the effect of the activation function A ( x | X...
Image
in ERGO-II: An Improved Bayesian Optimization Technique for Robust Design With Multiple Objectives, Failed Evaluations, and Stochastic Parameters
> Journal of Mechanical Design
Published Online: March 18, 2024
Fig. 5 Flowchart of the EGO algorithm in gray [ 10 ], with the additions that lead to the ERGO algorithm in blue [ 15 ] and the additions of this paper in orange resulting in the current ERGO-II scheme (Color version online.) More about this image found in Flowchart of the EGO algorithm in gray [ 10 ], with the additions that lead...
Image
in ERGO-II: An Improved Bayesian Optimization Technique for Robust Design With Multiple Objectives, Failed Evaluations, and Stochastic Parameters
> Journal of Mechanical Design
Published Online: March 18, 2024
Fig. 6 Performance assessment of ERGO versus ERGO-II for increasing dimensionality with on the left, the hypervolume indicator and on the right, the normalized maximum expected improvement More about this image found in Performance assessment of ERGO versus ERGO-II for increasing dimensionality...
Image
in ERGO-II: An Improved Bayesian Optimization Technique for Robust Design With Multiple Objectives, Failed Evaluations, and Stochastic Parameters
> Journal of Mechanical Design
Published Online: March 18, 2024
Fig. 7 Computational domain for the high-fidelity solver built in accordance to the sensitivity study performed in Ref. [ 38 ] More about this image found in Computational domain for the high-fidelity solver built in accordance to th...
Image
in ERGO-II: An Improved Bayesian Optimization Technique for Robust Design With Multiple Objectives, Failed Evaluations, and Stochastic Parameters
> Journal of Mechanical Design
Published Online: March 18, 2024
Fig. 8 Pareto front of the ADODG2 aerodynamic design problem under uncertainty as predicted by ERGO (a) and ERGO-II (b)) More about this image found in Pareto front of the ADODG2 aerodynamic design problem under uncertainty as ...
Image
in ERGO-II: An Improved Bayesian Optimization Technique for Robust Design With Multiple Objectives, Failed Evaluations, and Stochastic Parameters
> Journal of Mechanical Design
Published Online: March 18, 2024
Fig. 9 Optimal designs visualization and characteristics prediction at Ma = 0.734 and Re = 6.5 × 10 6 as predicted by ERGO ( a and b ) and ERGO-II ( c and d ). (Color version online.) More about this image found in Optimal designs visualization and characteristics prediction at Ma = 0...
Image
in Design of Self-Organizing Systems Using Multi-Agent Reinforcement Learning and the Compromise Decision Support Problem Construct
> Journal of Mechanical Design
Published Online: March 18, 2024
Fig. 1 Schematic diagram of the framework for the design of self-organizing systems More about this image found in Schematic diagram of the framework for the design of self-organizing system...
Image
in Design of Self-Organizing Systems Using Multi-Agent Reinforcement Learning and the Compromise Decision Support Problem Construct
> Journal of Mechanical Design
Published Online: March 18, 2024
Fig. 2 Overview of our multi-agent decentralized actor, centralized critic approach [ 17 ] More about this image found in Overview of our multi-agent decentralized actor, centralized critic approac...
Image
in Design of Self-Organizing Systems Using Multi-Agent Reinforcement Learning and the Compromise Decision Support Problem Construct
> Journal of Mechanical Design
Published Online: March 18, 2024
Fig. 3 General flowchart of reinforcement learning from the designers’ point of view More about this image found in General flowchart of reinforcement learning from the designers’ point of vi...
Image
in Design of Self-Organizing Systems Using Multi-Agent Reinforcement Learning and the Compromise Decision Support Problem Construct
> Journal of Mechanical Design
Published Online: March 18, 2024
Fig. 4 The cube for Box–Behnken Designs [ 31 ] More about this image found in The cube for Box–Behnken Designs [ 31 ]
Image
in Design of Self-Organizing Systems Using Multi-Agent Reinforcement Learning and the Compromise Decision Support Problem Construct
> Journal of Mechanical Design
Published Online: March 18, 2024
Fig. 5 Schematic of the cDSP construct More about this image found in Schematic of the cDSP construct
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