Cover Image

Pareto sensitivity, most-changing sub-fronts, and knee solutions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Giovannelli, Tommaso, Raimundo, Marcos Medeiros, Vicente, Luis Nunes
Format:	Preprint
Published:	2025
Subjects:	Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Non-smooth stochastic gradient descent using smoothing functions
by: Giovannelli, Tommaso, et al.
Published: (2025)

Stochastic set-valued optimization and its application to robust learning
by: Giovannelli, Tommaso, et al.
Published: (2026)

A stochastic gradient method for trilevel optimization
by: Giovannelli, Tommaso, et al.
Published: (2025)

Random Pareto front surfaces
by: Tu, Ben, et al.
Published: (2024)

Sequential test sampling for stochastic derivative-free optimization
by: Ding, Anjie, et al.
Published: (2025)

Obtaining properly Pareto optimal solutions of multiobjective optimization problems via the branch and bound method
by: Wu, Weitian, et al.
Published: (2024)

Full-Low Evaluation Methods For Bound and Linearly Constrained Derivative-Free Optimization
by: Royer, Clément W., et al.
Published: (2023)

Pareto-Optimal Linear Programming
by: van Rossum, Bart, et al.
Published: (2025)

ROBBO: An Efficient Method for Pareto Front Estimation with Guaranteed Accuracy
by: Boffadossi, Roberto, et al.
Published: (2025)

Pareto Front Shape-Agnostic Pareto Set Learning in Multi-Objective Optimization
by: Ye, Rongguang, et al.
Published: (2024)

Multiobjective Optimization under Uncertainties using Conditional Pareto Fronts
by: Trappler, Victor, et al.
Published: (2025)

Optimization over the weakly Pareto set and multi-task learning
by: Huang, Lei, et al.
Published: (2025)

Worst-Case Complexity of High-Order Algorithms for Pareto-Front Reconstruction
by: Cristofari, Andrea, et al.
Published: (2025)

Pareto-optimal treatment of uncertainties in model-based process design and operation
by: Schwientek, Jan, et al.
Published: (2025)

Computing the Pareto Front by Polynomial Elimination, With an Application From System Identification
by: van Rooij, Hans, et al.
Published: (2026)

Pareto Set Characterization in Constrained Multiobjective Optimization and the COBI Problem Generator *
by: Auger, Anne, et al.
Published: (2026)

Open-loop Pareto-Nash equilibria in multi-objective interval differential games
by: Li, Wen, et al.
Published: (2024)

Algorithms and Differential Game Representations for Exploring Nonconvex Pareto Fronts in High Dimensions
by: Liu, Shanqing, et al.
Published: (2026)

Non-Extreme Individual Minima for Improved Pareto Front Sampling Efficiency and Decision-Making
by: Herrmann-Wicklmayr, Markus, et al.
Published: (2026)

Existence of Weak Pareto Efficient Solutions of a Vector Optimization Problem under a Closed Constraint Set
by: Liu, Danyang, et al.
Published: (2024)

Fairness-informed Pareto Optimization : An Efficient Bilevel Framework
by: Tanji, Sofiane, et al.
Published: (2026)

Preference-Optimized Pareto Set Learning for Blackbox Optimization
by: Haishan, Zhang, et al.
Published: (2024)

Approximating the Uniform Value in Hidden Stochastic Games with Doeblin Conditions
by: Chatterjee, Krishnendu, et al.
Published: (2026)

Comparison of derivative-free and gradient-based minimization for multi-objective compositional design of shape memory alloys
by: Josyula, S., et al.
Published: (2025)

A general framework for providing interval representations of Pareto optimal outcomes for large-scale bi- and tri-criteria MIP problems
by: Filcek, Grzegorz, et al.
Published: (2023)

Muscle Coactivation in the Sky: Geometry and Pareto Optimality of Energy vs. Aerodynamic Promptness and Multirotors as Variable Stiffness Actuators
by: Franchi, Antonio
Published: (2026)

A parallel algorithm for generating Pareto-optimal radiosurgery treatment plans
by: da Silva, Joakim, et al.
Published: (2025)

Collaborative Pareto Set Learning in Multiple Multi-Objective Optimization Problems
by: Shang, Chikai, et al.
Published: (2024)

Voltage-sensitive distribution factors for contingency analysis and topology optimization
by: Titz, Maurizio, et al.
Published: (2025)

Recovering feasibility in real-time conflict-free vehicle routing
by: Adamo, Tommaso, et al.
Published: (2022)

Finding Pareto Efficient Redistricting Plans with Short Bursts
by: McCartan, Cory
Published: (2023)

On sensitivities regarding shape and topology optimization as derivatives on Wasserstein spaces
by: Okazaki, Fumiya, et al.
Published: (2024)

Scalable Min-Max Optimization via Primal-Dual Exact Pareto Optimization
by: Park, Sangwoo, et al.
Published: (2025)

Traversing Pareto Optimal Policies: Provably Efficient Multi-Objective Reinforcement Learning
by: Qiu, Shuang, et al.
Published: (2024)

Linear programming sensitivity measured by the optimal value worst-case analysis
by: Hladík, Milan
Published: (2023)

Selfish routing on transportation networks with supply and demand constraints
by: Toso, Tommaso, et al.
Published: (2024)

Reducing real-time complexity via sub-control Lyapunov functions: from theory to experiments
by: Do, Huu-Thinh, et al.
Published: (2025)

A Hyper-Transformer model for Controllable Pareto Front Learning with Split Feasibility Constraints
by: Tuan, Tran Anh, et al.
Published: (2024)

An Improved Analysis of the Clipped Stochastic subGradient Method under Heavy-Tailed Noise
by: Parletta, Daniela Angela, et al.
Published: (2024)

Toward real-time optimization through model reduction and model discrepancy sensitivities
by: Hart, Joseph, et al.
Published: (2025)