ABSTRACT Supply chain leaders increasingly operate with extensive technology‐enabled visibility, yet many firms still struggle to convert shared signals into timely, coordinated action. We frame this tension as the visibility‐to‐action problem in supply chain management (SCM): executives observe more than they can process and often fail to route ...
Sreedhar Madhavaram +3 more
wiley +1 more source
ABSTRACT Aim To evaluate the accuracy of the Emergency Severity Index (ESI) assignments by GPT‐4, a large language model (LLM), compared to senior emergency department (ED) nurses and physicians. Method An observational study of 100 consecutive adult ED patients was conducted. ESI scores assigned by GPT‐4, triage nurses, and by a senior clinician. Both
Gal Ben Haim +8 more
wiley +1 more source
Multi-stage hyper-heuristics for optimisation problems [PDF]
There is a growing interest towards self configuring/tuning automated general-purpose reusable heuristic approaches for combinatorial optimisation, such as, hyper-heuristics. Hyper-heuristics are search methodologies which explore the space of heuristics
Kheiri, Ahmed
core +2 more sources
A HYBRID METHOD FOR SOLVING TIMETABLING PROBLEMS BASED ON THE EVOLUTIONARY APPROACH
Timetabling problems are often difficult and time-consuming to solve. Most of the methods of solving these problems are limited to one problem instance or class.
MACIEJ NORBERCIAK
doaj
Large neighborhood search and hyper-heuristics for the capacitated p-median problem. [PDF]
Gjergji I, Kletzander L, Musliu N.
europepmc +1 more source
Towards Autonomous Bio-Inspired Optimization: Deep Reinforcement Learning for Adaptive Metaheuristic Orchestration. [PDF]
Carrasco C +5 more
europepmc +1 more source
A Q-Learning-Based Hyper-Heuristic Genetic Algorithm for Optimizing Human-Robot Collaborative Assembly Lines. [PDF]
Kulaç S.
europepmc +1 more source
Energy-aware priority-based task scheduling in cloud data centers using bacterial foraging optimization. [PDF]
Hosseinlou F +3 more
europepmc +1 more source
Evolutionary, Neural, or LLM-Driven Heuristic Generation? A Unified Ant Colony Optimization Benchmark for Nature-Inspired Routing Heuristics on the TSP and CVRP. [PDF]
Wu H, Wu Y.
europepmc +1 more source

