Results 81 to 90 of about 5,147,506 (303)
Amortized Active Generation of Pareto Sets
CoRRAppears in the 39th Conference on Neural Information Processing Systems (NeurIPS 2025)
Daniel M. Steinberg +5 more
openaire +2 more sources
An algorithm for approximating the Pareto set of the multiobjective set covering problem
Annals of Operations Research, 2016 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lakmali Weerasena +2 more
openaire +3 more sources
Advanced Science, EarlyView.A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai +3 more
wiley +1 more source
Parameterized Algorithms for Computing Pareto Sets
CoRRDynamic programming over tree decompositions is a common technique in parameterized algorithms. In this paper, we study whether this technique can also be applied to compute Pareto sets of multiobjective optimization problems. We first derive an algorithm to compute the Pareto set for the multicriteria s-t cut problem and show how this result can be ...
Könen, Joshua Marc +2 more
openaire +4 more sources
Advanced Science, EarlyView.A physics‐informed property‐bridging framework links high‐throughput hardness screening to tensile performance in quenching and partitioning steels. By transferring metallurgically guided representations across properties, a single alloy composition is designed to achieve multiple strength grades through heat‐treatment tuning alone, offering a ...
Xiaolu Wei +7 more
wiley +1 more source
A Generative Neuro‐Symbolic AI for Protein Sequence Design
Advanced Science, EarlyView.We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne +12 more
wiley +1 more source
Sensitivity of Pareto Solutions in Multiobjective Optimization. [PDF]
The paper presents a sensitivity analysis of Pareto solutions on the basis of the Karush-Kuhn-Tucker (KKT) necessary conditions applied to nonlinear multiobjective programs (MOP) continuously depending on a parameter.
Balbás, Alejandro +2 more
core
Pareto Navigation Gradient Descent: a First-Order Algorithm for Optimization in Pareto Set [PDF]
, 2022 Many modern machine learning applications, such as multi-task learning, require finding optimal model parameters to trade-off multiple objective functions that may conflict with each other.
Ye, Mao, Liu, Qiang
core
Inverse Design of Pre‐Strain via a Predictive Electromechanical Model for Enhanced Strain Sensing
Advanced Science, EarlyView.An analytical electromechanical model rooted in microcrack evolution mechanics is globally calibrated from only eight pre‐strain datasets, enabling prediction of the complete sensing response at untested pre‐strain values within the calibrated design space (R2 > 0.99).
Jia‐Chen Shang +10 more
wiley +1 more source
International Journal of Chemical Engineering, 2012 A Computational Fluid Dynamics (CFD) and response surface-based multiobjective design optimization were performed for six different 2D airfoil profiles, and the Pareto optimal front of each airfoil is presented.
Ziaul Huque +3 more
doaj +1 more source