Cover Image

QUIVER: Cost-Aware Adaptive Preference Querying in Surrogate-Assisted Evolutionary Multi-Objective Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Burnat, Florian A. D.
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Neural and Evolutionary Computing Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Dynamic Detection of Relevant Objectives and Adaptation to Preference Drifts in Interactive Evolutionary Multi-Objective Optimization
by: Shavarani, Seyed Mahdi, et al.
Published: (2024)

Enhanced Innovized Repair Operator for Evolutionary Multi- and Many-objective Optimization
by: Mittal, Sukrit, et al.
Published: (2020)

Quality-Diversity Optimization as Multi-Objective Optimization
by: Lin, Xi, et al.
Published: (2026)

Evolutionary Retrofitting
by: Videau, Mathurin, et al.
Published: (2024)

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization
by: Robledo, Isaac, et al.
Published: (2026)

Smooth Tchebycheff Scalarization for Multi-Objective Optimization
by: Lin, Xi, et al.
Published: (2024)

An Adaptive KKT-Based Indicator for Convergence Assessment in Multi-Objective Optimization
by: Santos, Thiago, et al.
Published: (2026)

EXPObench: Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions
by: Bliek, Laurens, et al.
Published: (2021)

Optimization of Discrete Parameters Using the Adaptive Gradient Method and Directed Evolution
by: Beinarovich, Andrei, et al.
Published: (2024)

Computationally Efficient Optimisation of Elbow-Type Draft Tube Using Neural Network Surrogates
by: Sikirica, Ante, et al.
Published: (2024)

Towards Resilient and Sustainable Global Industrial Systems: An Evolutionary-Based Approach
by: Jirkovský, Václav, et al.
Published: (2025)

Lean and Mean Adaptive Optimization via Subset-Norm and Subspace-Momentum with Convergence Guarantees
by: Nguyen, Thien Hang, et al.
Published: (2024)

Explicitly Multi-Modal Benchmarks for Multi-Objective Optimization
by: Ota, Ryosuke, et al.
Published: (2021)

Leveraging Evolutionary Surrogate-Assisted Prescription in Multi-Objective Chlorination Control Systems
by: Monsia, Rivaaj, et al.
Published: (2025)

Exact and Evolutionary Algorithms for Sequential Multi-Objective Transmission Topology Planning
by: Groeneveld, Job, et al.
Published: (2026)

Performance Comparison of Surrogate-Assisted Evolutionary Algorithms on Computational Fluid Dynamics Problems
by: Kudela, Jakub, et al.
Published: (2024)

Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization
by: Lin, Xi, et al.
Published: (2024)

Neural Surrogate-assisted Glider Wing Design with Stability Analysis and Multi-method Optimization
by: Lipaei, Arash Fath, et al.
Published: (2025)

Gradient Descent, Stochastic Optimization, and Other Tales
by: Lu, Jun
Published: (2022)

Limiting Network Size within Finite Bounds for Optimization
by: Pinto, Linu, et al.
Published: (2019)

Empirical Evaluation of No Free Lunch Violations in Permutation-Based Optimization
by: Sroka, Grzegorz
Published: (2026)

Machine Learning-Enhanced Ant Colony Optimization for Column Generation
by: Xu, Hongjie, et al.
Published: (2024)

A Composite Decomposition Method for Large-Scale Global Optimization
by: Tian, Maojiang, et al.
Published: (2024)

Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization
by: Luo, Fu, et al.
Published: (2023)

Tight Convergence Rate Bounds for Optimization Under Power Law Spectral Conditions
by: Velikanov, Maksim, et al.
Published: (2022)

A Globally Convergent Algorithm for Neural Network Parameter Optimization Based on Difference-of-Convex Functions
by: Tschernutter, Daniel, et al.
Published: (2024)

A Bandit Approach with Evolutionary Operators for Model Selection
by: Brégère, Margaux, et al.
Published: (2024)

An Efficient Dynamic Resource Allocation Framework for Evolutionary Bilevel Optimization
by: Xu, Dejun, et al.
Published: (2024)

Feature-based Evolutionary Diversity Optimization of Discriminating Instances for Chance-constrained Optimization Problems
by: Ahouei, Saba Sadeghi, et al.
Published: (2025)

Marginal Probability-Based Integer Handling for CMA-ES Tackling Single-and Multi-Objective Mixed-Integer Black-Box Optimization
by: Hamano, Ryoki, et al.
Published: (2022)

Machine Learning-Accelerated Multi-Objective Design of Fractured Geothermal Systems
by: Chen, Guodong, et al.
Published: (2024)

Understand the Effectiveness of Shortcuts through the Lens of DCA
by: Sun, Youran, et al.
Published: (2024)

The late-stage training dynamics of (stochastic) subgradient descent on homogeneous neural networks
by: Schechtman, Sholom, et al.
Published: (2025)

Availability of Perfect Decomposition in Statistical Linkage Learning for Unitation-based Function Concatenations
by: Prusik, Michal, et al.
Published: (2025)

Scaling of hardware-compatible perturbative training algorithms
by: Oripov, Bakhrom G., et al.
Published: (2025)

Gridless Evolutionary Approach for Line Spectral Estimation with Unknown Model Order
by: Yan, Bai, et al.
Published: (2021)

Designing Robust Software Sensors for Nonlinear Systems via Neural Networks and Adaptive Sliding Mode Control
by: Farkane, Ayoub, et al.
Published: (2025)

GBO:AMulti-Granularity Optimization Algorithm via Granular-ball for Continuous Problems
by: Xia, Shuyin, et al.
Published: (2023)

SEvoBench : A C++ Framework For Evolutionary Single-Objective Optimization Benchmarking
by: Yang, Yongkang, et al.
Published: (2025)

Training Non-Differentiable Networks via Optimal Transport
by: Le, An T.
Published: (2026)