Results 71 to 80 of about 153,582,606 (300)
The computational complexity of rationalizing Pareto optimal choice behavior. [PDF]
We consider a setting where a coalition of individuals chooses one or several alternatives from each set in a collection of choice sets. We examine the computational complexity of Pareto rationalizability.
Demuynck, Thomas
core +2 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
Heliyon, 2019 In this paper, Evolutionary (NSGA-II and NSGA-III) and Swarm Intelligence (MOPSO) based algorithms enhanced with Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is employed to optimize five parameters of Two Degree Of Freedom ...
Haresh A. Suthar, Jagrut J. Gadit
doaj +1 more source
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
Amortized Active Generation of Pareto Sets
Advances in Neural Information Processing Systems 38Appears 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
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
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
Evolved GANs for generating pareto set approximations
Proceedings of the Genetic and Evolutionary Computation Conference, 2018 Basque Government: IT-609-13, Spanish Ministry of Economy, Industry and Competitiveness: TIN2016-78365-R, University of the Basque Country: PIF16 ...
Unai Garciarena +2 more
openaire +3 more sources
Advanced Science, EarlyView.Sepsis triggers hippocampal SIRT7 loss, promoting histone H2B succinylation and activation of the PD‐1/PD‐L1–PINK1 axis. This metabolic‐epigenetic cascade drives aberrant mitophagy and neuronal injury, ultimately causing cognitive deficits. Targeting SIRT7‐dependent succinylation offers a potential strategy to protect brain function during sepsis ...
Na Meng +12 more
wiley +1 more source