Results 91 to 100 of about 159,025 (301)
Budget Balancedness and Optimal Income Taxation [PDF]
We make two main contributions to the theory of optimal income taxation. First, assuming conditions sufficient for existence of a Pareto optimal income tax and public goods mechanism, we show that if agents’ preferences satisfy an extended notion of ...
Frank H. Page Jr., Marcus Berliant
core
Social optimality in quantum Bayesian games
, 2015 A significant aspect of the study of quantum strategies is the exploration of the game-theoretic solution concept of the Nash equilibrium in relation to the quantization of a game. Pareto optimality is a refinement on the set of Nash equilibria.
Abbott, Derek +2 more
core +1 more source
Advanced Intelligent Discovery, EarlyView.Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Micro- and Macroeconomic Models and Optimization Procedures
Theory, Methodology, Practice, 2013 The conventional economics lies on the fundamental assumption of neoclassical welfare economics according to which the primarily aim of economics is to achieve Pareto optimal conditions.
Sándor Karajz
doaj
Dynamic Multi-objective Optimization Algorithm Based on RNN Information Accumulation [PDF]
Jisuanji kexueDynamic multi-objective optimization problems exist widely in real life.After the environment changes,it is necessary for the evolutionary algorithm to have the abilities of fast convergence,fast tracking Pareto optimal frontier and maintaining diversity.
CHENG Xuefeng, DONG Minggang
doaj +1 more source
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
Pareto-Optimality in Linear Regression
Journal of Mathematical Analysis and Applications, 1995 In this paper the linear regression problem is studied in the context of vector optimization theory. The set of Pareto-optimal solutions is represented as the set of optimal solutions to certain optimization problems, and is geometrically characterized as a finite union of bounded polyhedra.
Carrizosa Priego, Emilio José +4 more
openaire +3 more sources
Harnessing Machine Learning to Understand and Design Disordered Solids
Advanced Intelligent Discovery, EarlyView.This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
Angewandte Chemie, EarlyView.Pareto optimal compositions of alloy catalyst for oxygen reduction reaction are uncovered through multi‐objective Bayesian optimization of activity, stability, and material cost in an eight‐element high‐entropy alloy composition space. The substantial Pareto front obtained is compared to experimental literature and analyzed to elucidate the roles and ...
Mads K. Plenge +4 more
wiley +2 more sources
Operations Research PerspectivesThis paper proposes a novel method of Pareto front generation from a set of piecewise linear trade-off curves typically encountered in bi-objective just-in-time (JIT) scheduling problems. We have considered the simultaneous minimization of total weighted
Sona Babu, B.S. Girish
doaj +1 more source