Multi-Objective Bayesian Optimization Algorithms

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1 paper in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

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Reduced-Space Multi-Fidelity Bayesian Optimization of Process Simulation Models
Sep 15, 2026Niki Triantafyllou, Andrea Bernardi, Maria M. PapathanasiouMulti-Fidelity Multi-Objective Bayesian Optimization Algorithms
Sargent Centre for Process Systems Engineering, Department of Chemical Engineering, Imperial College London, UK
High-dimensional Multi-objective Bayesian Optimization with Learned Variable Interactions
Aug 12, 2026Hongyan Wang, Jiayu Huang, Haotian Zheng +6Multi-Objective Bayesian Optimization Algorithms Multi-Objective Optimization
School of Vehicle and Mobility Tsinghua University Beijing, China · Faculty of Engineering The Hong Kong Polytechnic University Hong Kong, China
Adaptive Sampling for Automated Post-Disaster Rapid Damage Assessment via Level-Set Cost-Aware Bayesian Optimization
Aug 3, 2026Boyang Xu, Mostafa Reisi Gahrooei, Mohammad Ilbeigi +1Post-Disaster Damage Assessment Disaster Response
School of Computing and Augmented Intelligence, Arizona State University · Department of Industrial and Systems Engineering, University of Florida · Department of Civil, Environmental and Ocean Engineering, Stevens Institute of Technology
Efficient Heteroscedastic Bayesian Optimization for Risk-Aware AutoRL
Jul 29, 2026Mingxuan Che, Tsung-Yuan Tseng, Theresa Eimer +2Multi-Objective Bayesian Optimization Algorithms Bayesian Optimization
Leibniz University Hannover · CARIAD SE · University of Wuppertal +2
Cost-Aware Recovery-Pathway Identification and Bayesian Optimization for Autonomous Materials Discovery
Jul 26, 2026Debajyoti Ray, Niranjan SrinivasMulti-Objective Bayesian Optimization Algorithms Bayesian Optimization
Coactive Science
LLM-Driven Evolutionary Generation of Multi-Objective Bayesian Optimization Algorithms
Jul 6, 2026Georgios Laskaris, Reuben Brasher, Niki van Stein +3Multi-Objective Bayesian Optimization Algorithms General Grid Search Framework
Terra Quantum AG, Kornhausstrasse 25, 9000 St. Gallen, Switzerland · LIACS, Leiden University, Leiden, Netherlands
GRIMIP: A General Framework for Instance-Specific Configuration of MIP Solvers Using LLMs
Jun 22, 2026Yidong Luo, Xuemin Chen, Chenguang Wang +3Mixed-Integer Programming Optimization Modeling
School of Data Science, The Chinese University of Hong Kong, Shenzhen · School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen · Noah’s Ark Lab, Huawei
Range-Aware Bayesian Optimization for Discovering Diverse Designs within Target Property Windows
Jun 10, 2026Shengli Jiang, Jason Wu, Charles M. Schroeder +1Multi-Objective Bayesian Optimization Algorithms Bayesian Optimization
Department of Chemical and Biological Engineering, Princeton University, Princeton, NJ 08540, USA
Accelerating Multi-Objective Bayesian Optimisation via Predictive-Gradient Catalysts
Jun 5, 2026Alma Rahat, Tinkle Chugh, Jonathan Fieldsend +1Multi-Objective Bayesian Optimization Algorithms Surrogate Gradient
Loughborough University, Loughborough, LE11 3TU, U.K. · University of Exeter, Exeter EX4 4QD, U.K. · The University of Manchester, Manchester M15 6PB, U.K.
Local Preferential Bayesian Optimization
Jun 1, 2026Johanna Menn, Miriam Kober, Paul Brunzema +2Multi-Objective Bayesian Optimization Algorithms Bayesian Optimization
Institute for Data Science in Mechanical Engineering, RWTH Aachen University, Aachen, Germany · Department of Clinical Research, University of Bern, Bern, Switzerland · Center for Reproducible Science and Research Synthesis, University of Zurich, Zurich, Switzerland +1
Why LLMs Fail at Causal Discovery and How Interventional Agents Escape
May 26, 2026Amartya Roy, Sonali ParbhooLarge Language Models Fail LLM Reasoning Strategies
SIRE, IIT Delhi and Robert Bosch GmbH, India · Imperial College London
LABO: LLM-Accelerated Bayesian Optimization through Broad Exploration and Selective Experimentation
May 21, 2026Zhuo Chen, Xinzhe Yuan, Jianshu Zhang +8Multi-Objective Bayesian Optimization Algorithms Bayesian Optimization
equal contribution · Shanghai Artificial Intelligence Laboratory, Shanghai, China · School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China +7
Elicitation-Augmented Bayesian Optimization
May 12, 2026Alvar Haltia, Ville Hyvönen, Samuel KaskiMulti-Objective Bayesian Optimization Algorithms Bayesian Optimization
Aalto University · University of Helsinki · Aalto University, University of Manchester
Regime-Conditioned Evaluation in Multi-Context Bayesian Optimization
May 6, 2026Noel ThomasMulti-Objective Bayesian Optimization Algorithms Heterogeneous Treatment Effects
Mohamed bin Zayed University of Artificial Intelligence Abu Dhabi, UAE
Rethinking Trust Region Bayesian Optimization in High Dimensions
Apr 24, 2026Wei-Ting Tang, Joel A. PaulsonMulti-Objective Bayesian Optimization Algorithms Trust Region
University of Wisconsin–Madison
Multi-Objective Bayesian Optimization via Adaptive \varepsilon-Constraints Decomposition
Apr 17, 2026Yaohong Yang, Sammie Katt, Samuel KaskiMulti-Objective Bayesian Optimization Algorithms Bayesian Optimization
Department of Computer Science, Aalto University, Espoo, Finland · ELLIS Institute Finland · Department of Computer Science, University of Manchester, Manchester, United Kingdom
Safe learning-based control via function-based uncertainty quantification
Apr 1, 2026Abdullah Tokmak, Toni Karvonen, Thomas B. Schön +1Control Barrier Functions Uncertainty Quantification
Cyber-physical Systems Group, Aalto University, Espoo, Finland · School of Engineering Sciences, Lappeenranta–Lahti University of Technology LUT, Lappeenranta, Finland · Department of Information Technology, Uppsala University, Uppsala, Sweden
Time-Varying Bayesian Optimization Without a Metronome
Jan 31, 2025Anthony Bardou, Patrick ThiranMulti-Objective Bayesian Optimization Algorithms Bayesian Optimization
IC EPFL Lausanne, Switzerland

Sep 15, 2026, cs.LGJ/K move · Enter open · S save

Reduced-Space Multi-Fidelity Bayesian Optimization of Process Simulation Models

Niki Triantafyllou, Andrea Bernardi, Maria M. Papathanasiou

Sargent Centre for Process Systems Engineering, Department of Chemical Engineering, Imperial College London, UK

Multi-Fidelity Multi-Objective Bayesian Optimization Algorithms Chemical Process Systems Hydrogen System Components

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Optimizing industrial process flowsheets is often computationally prohibitive due to the high cost of rigorous simulations and the curse of dimensionality inherent in complex design spaces. To address these challenges, we present a reduced-space multi-fidelity Bayesian optimization (RS-MFBO) framework designed for high-dimensional, expensive black-box functions. The approach integrates Global Sensitivity Analysis (GSA) for dimensionality reduction with a fidelity-augmented Gaussian process that captures correlations between low-cost approximations and expensive high-fidelity evaluations. A cost-aware acquisition strategy, augmented with cooldown and promotion mechanisms, adaptively guides the allocation of samples across fidelities. The framework is validated on two distinct industrial process simulators: a plasmid DNA bioprocess in SuperPro Designer and a green fuel synthesis plant in Aspen HYSYS. Results across diverse economic and physical objectives demonstrate that the proposed method substantially reduces the number of high-fidelity simulator evaluations while maintaining competitive optimization performance compared to single-fidelity baselines. These results highlight RS-MFBO as a scalable, simulator-agnostic approach for cost-constrained black-box optimization.

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