Results 71 to 80 of about 159,025 (301)
PAIRWISE, t-WISE, AND PARETO OPTIMALITIES [PDF]
Econometrica, 1982 An allocation is said to be t-wise optimal (for t a positive integer) if for every collection of t traders, there is no reallocation of their current holdings that will make some better off while making none worse off. The allocation is pairwise optimal if it is t-wise optimal for t = 2.
Goldman, Steven M, Starr, Ross M
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Breaking the Toughness‐Stretchability Trade‐Off in Hydrogels with Dynamic Hydrogen Bonding
Advanced Science, EarlyView.A novel nanocomposite hydrogel architecture overcomes the inherent conflict between toughness and stretchability by integrating uniformly dispersed aminopropyl‐hybrid‐phyllosilicate nanosheets within a polyacrylamide matrix. This design leverages a dynamic hydrogen‐bonding network to facilitate efficient energy dissipation and self‐recovery.
Yining Gao +3 more
wiley +1 more source
Insurance with multiple insurers: A game-theoretic approach [PDF]
, 2017 This paper studies the set of Pareto optimal insurance contracts and the core of an insurance game. Our setting allows multiple insurers with translation invariant preferences.
Asimit, A.V., Boonen, T. J.
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Customizing Tactile Sensors via Machine Learning‐Driven Inverse Design
Advanced Science, EarlyView.ABSTRACT Replicating the sophisticated sense of touch in artificial systems requires tactile sensors with precisely tailored properties. However, manually navigating the complex microstructure‐property relationship results in inefficient and suboptimal designs.
Baocheng Wang +15 more
wiley +1 more source
Pareto Optimality in the work of Pareto [PDF]
Revue européenne des sciences sociales, 2013 This paper reconstructs, in non-formal terms, the development of Vilfredo Pareto’s writings on what was to become known as “Pareto optimality”. Notably, I rebuild the various versions preceeding the final definition of paretian optimum in economics and I give a few comments on its sociological adaptation.
openaire +3 more sources
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Advanced Science, EarlyView.Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Energies, 2015 In this study, the multi-objective optimization of an indirect forced-circulation solar water heating (SWH) system was performed to obtain the optimal configuration that minimized the life cycle cost (LCC) and maximized the life cycle net energy saving ...
Myeong Jin Ko
doaj +1 more source
Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks
Advanced Science, EarlyView.A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu +5 more
wiley +1 more source
A multiobjective optimization approach to statistical mechanics [PDF]
, 2015 Optimization problems have been the subject of statistical physics approximations. A specially relevant and general scenario is provided by optimization methods considering tradeoffs between cost and efficiency, where optimal solutions involve a ...
Seoane, Luís F., Solé, Ricard V.
core
Workload Equity in Vehicle Routing Problems: A Survey and Analysis
, 2018 Over the past two decades, equity aspects have been considered in a growing number of models and methods for vehicle routing problems (VRPs). Equity concerns most often relate to fairly allocating workloads and to balancing the utilization of resources ...
Hartl, Richard F. +2 more
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