Bounding the Multi-Scale Domain in Numerical Modelling and Meta-Heuristics Optimization: Application to Poroelastic Media with Damageable Cracks. [PDF]
Argilaga A, Papachristos E.
europepmc +1 more source
Hybrid meta-heuristics with VNS and exact methods:application to large unconditional and conditional vertex p-centre problems [PDF]
Large-scale unconditional and conditional vertex p-centre problems are solved using two meta-heuristics. One is based on a three-stage approach whereas the other relies on a guided multi-start principle.
Irawan, Chandra +3 more
core +1 more source
Vine copula knockoffs for variable selection in gene expression studies
Abstract Identifying clinical and genetic markers is essential for stratifying cancer patients by survival outcomes and guiding personalized treatment strategies. However, gene expression studies often involve high‐dimensional predictors with mixed data types and complex dependence, which complicates reliable variable selection.
José Ulises Márquez Urbina +3 more
wiley +1 more source
Advanced Meta-Heuristics, Convolutional Neural Networks, and Feature Selectors for Efficient COVID-19 X-Ray Chest Image Classification. [PDF]
El-Kenawy EM +6 more
europepmc +1 more source
Informe final de prácticas empresariales Alcaldía Municipal de Guamal-Meta
Aplicar y complementar los conocimientos adquiridos durante el proceso de formación académica establecida por la Corporación Universitaria del Meta en el programa de Ingeniería Civil, demostrando mis capacidades y destrezas en las actividades diarias ...
Ortega Velasco, Henderson Stiven
core
Shifting Tides: A Decade of Business Climate Adaptation and Resilience Research (2013–2023)
ABSTRACT Climate change is causing significant disruptions to the socio‐ecological systems in which organizations operate, presenting unprecedented challenges for businesses across sectors in adapting to shifting environmental conditions and building resilience to extreme weather events.
Domenico Villano +3 more
wiley +1 more source
Choice Function-Based Hyper-Heuristics for Causal Discovery under Linear Structural Equation Models
Causal discovery is central to human cognition, and learning directed acyclic graphs (DAGs) is its foundation. Recently, many nature-inspired meta-heuristic optimization algorithms have been proposed to serve as the basis for DAG learning.
Yinglong Dang +2 more
doaj +1 more source
CEO Overconfidence and Corporate Social Responsibility: A Micro‐CSR Perspective
ABSTRACT Although research on micro‐level CSR has increasingly emphasized individual‐level antecedents, the role of CEO overconfidence has not been systematically integrated into the literature. To address this gap, a systematic literature review was undertaken of 62 studies on CEO overconfidence and CSR, revealing a mixed picture of positive, negative,
Jannis Kreinhop
wiley +1 more source
ABSTRACT Circular economy (CE) initiatives require coordination among stakeholders whose roles, resources, and interests are often unevenly distributed across value networks. Existing CSR, ESG, and stakeholder engagement frameworks offer useful starting points, but they do not fully explain how these relationships are governed during circular ...
Tommaso Fornasari, Francesca Gennari
wiley +1 more source
CEO Age and Corporate Environmental Performance: Evidence From French Listed Firms
ABSTRACT This study investigates the impact of CEO age on corporate environmental performance in the case of France, a country characterized by a strong commitment to sustainable development, emphasis on gender diversity, and elitism in the selection of corporate leaders. Using a sample of French firms listed on Euronext Paris between 2006 and 2024, we
Mehwish Yousaf, Pascal Nguyen
wiley +1 more source

