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Multi-Objective Constrained Optimization for Energy Applications via
  Tree Ensembles

Multi-Objective Constrained Optimization for Energy Applications via Tree Ensembles

4 November 2021
Alexander Thebelt
Calvin Tsay
Robert M. Lee
Nathan Sudermann-Merx
David Walz
T. Tranter
Ruth Misener
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Multi-Objective Constrained Optimization for Energy Applications via Tree Ensembles"

12 / 12 papers shown
Title
BARK: A Fully Bayesian Tree Kernel for Black-box Optimization
BARK: A Fully Bayesian Tree Kernel for Black-box Optimization
Toby Boyne
Jose Pablo Folch
Robert M. Lee
B. Shafei
Ruth Misener
GP
140
2
0
07 Mar 2025
Deterministic Global Optimization of the Acquisition Function in Bayesian Optimization: To Do or Not To Do?
Anastasia S. Georgiou
Daniel Jungen
Luise F. Kaven
Verena Hunstig
Constantine Frangakis
Ioannis G. Kevrekidis
Alexander Mitsos
76
0
0
05 Mar 2025
EARL-BO: Reinforcement Learning for Multi-Step Lookahead,
  High-Dimensional Bayesian Optimization
EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization
Mujin Cheon
Jay H. Lee
Dong-Yeun Koh
Calvin Tsay
64
0
0
31 Oct 2024
Global Optimization of Gaussian Process Acquisition Functions Using a
  Piecewise-Linear Kernel Approximation
Global Optimization of Gaussian Process Acquisition Functions Using a Piecewise-Linear Kernel Approximation
Yilin Xie
Shiqiang Zhang
J. Paulson
Calvin Tsay
66
6
0
22 Oct 2024
D-CODE: Data Colony Optimization for Dynamic Network Efficiency
D-CODE: Data Colony Optimization for Dynamic Network Efficiency
Tannu Pandey
Ayush Thakur
53
0
0
08 May 2024
Bayesian optimization as a flexible and efficient design framework for
  sustainable process systems
Bayesian optimization as a flexible and efficient design framework for sustainable process systems
J. Paulson
Calvin Tsay
TPM
88
13
0
29 Jan 2024
Practical Path-based Bayesian Optimization
Practical Path-based Bayesian Optimization
Jose Pablo Folch
J. Odgers
Shiqiang Zhang
Robert M. Lee
B. Shafei
David Walz
Calvin Tsay
Mark van der Wilk
Ruth Misener
79
2
0
01 Dec 2023
Combining Multi-Fidelity Modelling and Asynchronous Batch Bayesian
  Optimization
Combining Multi-Fidelity Modelling and Asynchronous Batch Bayesian Optimization
Jose Pablo Folch
Robert M. Lee
B. Shafei
David Walz
Calvin Tsay
Mark van der Wilk
Ruth Misener
74
26
0
11 Nov 2022
Deep Surrogate of Modular Multi Pump using Active Learning
Deep Surrogate of Modular Multi Pump using Active Learning
Malathi Murugesan
Kanika Goyal
Laure Barriere
Maura Pasquotti
Giacomo Veneri
Giovanni De Magistris
103
1
0
04 Aug 2022
Tree ensemble kernels for Bayesian optimization with known constraints
  over mixed-feature spaces
Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces
Alexander Thebelt
Calvin Tsay
Robert M. Lee
Nathan Sudermann-Merx
David Walz
B. Shafei
Ruth Misener
UQCVBDL
85
11
0
02 Jul 2022
OMLT: Optimization & Machine Learning Toolkit
OMLT: Optimization & Machine Learning Toolkit
Francesco Ceccon
Jordan Jalving
Joshua Haddad
Alexander Thebelt
Calvin Tsay
C. Laird
Ruth Misener
84
75
0
04 Feb 2022
Maximizing information from chemical engineering data sets: Applications
  to machine learning
Maximizing information from chemical engineering data sets: Applications to machine learning
Alexander Thebelt
Johannes Wiebe
Jan Kronqvist
Calvin Tsay
Ruth Misener
AI4CE
114
73
0
25 Jan 2022
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