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From Automation to Autonomy in Smart Manufacturing: A Bayesian Optimization Framework for Modeling Multi-Objective Experimentation and Sequential Decision Making

From Automation to Autonomy in Smart Manufacturing: A Bayesian Optimization Framework for Modeling Multi-Objective Experimentation and Sequential Decision Making

5 April 2025
Avijit Saha Asru
H. Khosravi
I. Imtiaz Ahmed
Abdullahil Azeem
ArXiv (abs)PDFHTML

Papers citing "From Automation to Autonomy in Smart Manufacturing: A Bayesian Optimization Framework for Modeling Multi-Objective Experimentation and Sequential Decision Making"

15 / 15 papers shown
Title
An Augmented Surprise-guided Sequential Learning Framework for
  Predicting the Melt Pool Geometry
An Augmented Surprise-guided Sequential Learning Framework for Predicting the Melt Pool Geometry
Ahmed Shoyeb Raihan
H. Khosravi
T. Bhuiyan
Imtiaz Ahmed
AI4CE
66
7
0
10 Jan 2024
Multi-Objective Bayesian Optimization with Active Preference Learning
Multi-Objective Bayesian Optimization with Active Preference Learning
Ryota Ozaki
Kazuki Ishikawa
Youhei Kanzaki
Shinya Suzuki
Shion Takeno
Ichiro Takeuchi
Masayuki Karasuyama
65
7
0
22 Nov 2023
Large-Batch, Iteration-Efficient Neural Bayesian Design Optimization
Large-Batch, Iteration-Efficient Neural Bayesian Design Optimization
Navid Ansari
Hans-Peter Seidel
Vahid Babaei
61
2
0
01 Jun 2023
A Data Driven Sequential Learning Framework to Accelerate and Optimize
  Multi-Objective Manufacturing Decisions
A Data Driven Sequential Learning Framework to Accelerate and Optimize Multi-Objective Manufacturing Decisions
H. Khosravi
Taofeeq O. Olajire
Ahmed Shoyeb Raihan
Imtiaz Ahmed
33
9
0
18 Apr 2023
Learning non-stationary and discontinuous functions using clustering,
  classification and Gaussian process modelling
Learning non-stationary and discontinuous functions using clustering, classification and Gaussian process modelling
M. Moustapha
Bruno Sudret
56
9
0
30 Nov 2022
Towards Futuristic Autonomous Experimentation--A Surprise-Reacting
  Sequential Experiment Policy
Towards Futuristic Autonomous Experimentation--A Surprise-Reacting Sequential Experiment Policy
Imtiaz Ahmed
Satish Bukkapatnam
Bhaskar Botcha
Yucheng Ding
67
5
0
01 Dec 2021
Multi-Objective Bayesian Optimization over High-Dimensional Search
  Spaces
Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces
Sam Daulton
David Eriksson
Maximilian Balandat
E. Bakshy
83
113
0
22 Sep 2021
AI-based Modeling and Data-driven Evaluation for Smart Manufacturing
  Processes
AI-based Modeling and Data-driven Evaluation for Smart Manufacturing Processes
Mohammadhossein Ghahramani
Yan Qiao
Mengchu Zhou
A. O'Hagan
James Sweeney
55
182
0
29 Aug 2020
Differentiable Expected Hypervolume Improvement for Parallel
  Multi-Objective Bayesian Optimization
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization
Sam Daulton
Maximilian Balandat
E. Bakshy
80
241
0
09 Jun 2020
pymoo: Multi-objective Optimization in Python
pymoo: Multi-objective Optimization in Python
Julian Blank
Kalyanmoy Deb
76
1,261
0
22 Jan 2020
Ordinal Bayesian Optimisation
Ordinal Bayesian Optimisation
Victor Picheny
Sattar Vakili
A. Artemev
53
8
0
05 Dec 2019
Practical Batch Bayesian Optimization for Less Expensive Functions
Practical Batch Bayesian Optimization for Less Expensive Functions
Vu Nguyen
Sunil R. Gupta
Santu Rana
Cheng Li
Svetha Venkatesh
34
3
0
05 Nov 2018
A Tutorial on Bayesian Optimization
A Tutorial on Bayesian Optimization
P. Frazier
GP
113
1,799
0
08 Jul 2018
Input Warping for Bayesian Optimization of Non-stationary Functions
Input Warping for Bayesian Optimization of Non-stationary Functions
Jasper Snoek
Kevin Swersky
R. Zemel
Ryan P. Adams
116
239
0
05 Feb 2014
Stochastic Optimization with Importance Sampling
Stochastic Optimization with Importance Sampling
P. Zhao
Tong Zhang
119
346
0
13 Jan 2014
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