Results 181 to 190 of about 1,900 (308)
Pareto-Front Optimization of Variance-Added Expected Loss with Interrelated Qualities. [PDF]
Kim S, Lee K.
europepmc +1 more source
ABSTRACT This study sets out to investigate the prospects for raising oil palm output in sub‐Saharan Africa, particularly Ghana, without further expansion of cropland. Given global concerns about oil palm's role in deforestation and land use change, the focus is on enhancing productivity on existing farmlands.
Jacob Asravor +3 more
wiley +1 more source
Warm-starting Strategies in Scalarization Methods for Multi-Objective Optimization
We explore how warm-starting strategies can be integrated into scalarization-based approaches for multi-objective optimization in (mixed) integer linear programming.
Riedmüller, Stephanie +2 more
core +1 more source
A physics-informed graph neural network conserving linear and angular momentum for dynamical systems. [PDF]
Sharma V, Fink O.
europepmc +1 more source
In this work, necessary and sufficient conditions for approximate solutions of vector optimization problems are obtained via scalarization, i.e., by considering approximate solutions of associated scalar optimization problems. These conditions are proved
Gutiérrez, C., Jiménez, B., Novo, V.
core
Assessing the Impact of Promotions on Consumer Purchasing Behavior During Crises
ABSTRACT Understanding how households modify their food expenditure decisions during times of crisis is essential because consumer purchasing behavior frequently changes during these times. This study looks at these behavioral shifts during the COVID‐19 pandemic, concentrating on how price sensitivity and response to sales promotions changed over the ...
Wafa Mehaba, José María Gil
wiley +1 more source
The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry
ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley +1 more source
Multi-objective contextual bandits in recommendation systems for smart tourism. [PDF]
Qassimi S, Rakrak S.
europepmc +1 more source
ABSTRACT Hybrid modeling combines first‐principles equations with a data‐driven subcomponent. Training for the data‐driven part is sensitive to measurement noise when training targets are constructed using pointwise time derivatives. Beyond differentiation errors, hybrid models involve solving an inverse problem to estimate the data‐driven term, which ...
Hangjun Cho +4 more
wiley +1 more source
Recursive Objective Space Exploration (ROSE): A computationally efficient deterministic approach for bi-objective optimization. [PDF]
Hashem I +3 more
europepmc +1 more source

