Results 131 to 140 of about 1,066,632 (248)
Intelligent DRG Classification with ELGWO‐LightGBM. Abstract Diagnosis‐related group (DRG) classification is crucial for healthcare cost management and resource allocation, but traditional manual classification by physicians is inefficient and error‐prone, especially for large‐scale medical data.
Yanxi Zhang +3 more
wiley +1 more source
Meta-heuristics for Robust Graph Coloring Problem
In this paper, the Robust Graph Coloring Problem (RGCP), an extension of the classical graph coloring, is solved by various meta-heuristics. After discussing the search space encoding and neighborhood structure, several meta-heuristics including genetic ...
Wang, F., Lim, A.
core
When Does Top Management Team Diversity Matter in Large Organizations?
ABSTRACT Top management teams (TMTs) drive strategic leadership, but there is little clarity on when the composition of these upper echelons most impacts organization performance. Drawing from the categorization‐elaboration model, we study an 18‐year sample of approximately 4500 organizations and over 32 000 executives and find a positive relationship ...
Frances Fabian +2 more
wiley +1 more source
ABSTRACT Empathy is increasingly valued at workplaces as it facilitates interpersonal relationships, collaboration, and team functioning. Accordingly, organizations increasingly observe and recognize employees' emotional understanding (EU) ability—a key foundation of empathy—as an important dimension of individual merit in performance evaluations.
Hanbo Shim +3 more
wiley +1 more source
EFFICIENCY OF SELECTED META-HEURISTICS APPLIED TO THE TSP PROBLEM: A SIMULATION STUDY
The paper presents a simulation study of the usefulness of a number of meta-heuristics used as optimisation methods for TSP problems. The five considered approaches are outlined: Genetic Algorithm, Simulated Annealing, Ant Colony System, Tabu Search and
HALINA KWAŚNICKA
doaj
ABSTRACT This paper considers the tensions between different organizational strategic decision‐making approaches at various levels of uncertainty. Of particular focus are the mechanisms for defaulting to lower uncertainty, from the Cynefin framework's unordered chaotic and complex domains to the more ordered complicated and obvious domains.
Richard J. Logan +3 more
wiley +1 more source
periodic vehicle routing problem focuses on establishing a plan of visits to clients over a given time horizon so as to satisfy some service level while optimizing the routes used in each time period.
Mehdi Alinaghian
doaj
ABSTRACT Pancreatic ductal adenocarcinoma (PDAC) carries a dismal prognosis despite surgical resection, yet the prognostic literature remains fragmented across hundreds of single‐institution studies that vary in design, covariates, and analytical approaches.
Muhammad Maisam Ali +8 more
wiley +1 more source
A Self‐Evolving Agentic Framework for Metasurface Inverse Design
Turning a target optical response into working inverse‐design code normally demands specialized computational‐electromagnetics and software‐engineering expertise. A self‐evolving agentic framework lowers this barrier: from a natural‐language request, it writes the optimization code that drives a physical solver and improves itself by revising human ...
Yi Huang +6 more
wiley +1 more source
Underwater Robot Task Planning Using Multi-Objective Meta-Heuristics. [PDF]
Landa-Torres I +3 more
europepmc +1 more source

