Results 131 to 140 of about 1,200,755 (251)

Advancing a relational perspective on leadership between neurotypical leaders and neurodivergent followers: An integrated systematic review and research agenda

International Journal of Management Reviews, EarlyView.
Abstract Leaders are widely positioned as cornerstones of neurodiversity inclusion within research and practice. Despite this, the management discipline remains plighted by lack of cohesive understanding regarding leadership in the context of neurodiversity—an issue only exacerbated by the fragmented nature of extant interdisciplinary research.
Mya Kirkwood, Laura Radcliffe, Joanne Lyubovnikova, Lilian Otaye‐Ebede   +3 more
wiley   +1 more source

Choice Function-Based Hyper-Heuristics for Causal Discovery under Linear Structural Equation Models

Biomimetics
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, Xiaoguang Gao, Zidong Wang   +2 more
doaj   +1 more source

Multi-objective optimisation with a sequence-based selection hyper-heuristic

, 2016
Hyper-heuristics have been used widely to solve optimisation problems, often single-objective and discrete in nature. Herein, we extend a recently-proposed selection hyper-heuristic to the multiobjective domain and with it optimise continuous problems ...
EK Keedwell (21851168), DJ Walker (16066739)   +1 more
core  

A unified formulation for home healthcare routing and scheduling problems

International Transactions in Operational Research, EarlyView.
Abstract Home Healthcare is an essential component of healthcare systems, where caregivers visit patients' homes to deliver services. While presenting advantages with respect to institutional care, such as being cost‐effective and alleviating family burdens, it presents challenges in scheduling and routing caregivers efficiently.
Sara Ceschia, Francesca Da Ros, Luca Di Gaspero, Simona Mancini, Vittorio Maniezzo, Roberto Montemanni, Roberto Maria Rosati, Andrea Schaerf   +7 more
wiley   +1 more source

A hyper-heuristic approach to strip packing problems

, 2010
In this paper we propose a genetic algorithm based hyper-heuristic for producing good quality solutions to strip packing problems. Instead of using just a single decoding heuristic, we employ a set of heuristics.
Kendall, Graham, Edmund K. Burke, Burke, Edmund, Graham Kendall, Guo, Qiang, Qiang Guo   +5 more
core   +1 more source

Deep reinforcement learning for multi‐restart metaheuristics: an environment design for a hybrid of unbiased exploratory search and covariance matrix adaptation evolution strategy

International Transactions in Operational Research, EarlyView.
Abstract Multi‐restart metaheuristics can be highly effective for complex optimization problems, yet their performance depends critically on how restarts and algorithmic parameters are selected. This paper introduces a reinforcement learning approach for managing restart‐level decisions and parameter configurations in the UES–CMA‐ES hybrid ...
Antonio Bolufé‐Röhler, Bowen Xu
wiley   +1 more source

Evaluating Large Language Model‐Assisted Emergency Triage: A Comparison of Acuity Assessments by GPT‐4 and Medical Experts

Journal of Clinical Nursing, EarlyView.
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, Mor Saban, Yiftach Barash, David Cirulnik, Amit Shaham, Ben Zion Eisenman, Livnat Burshtein, Orly Mymon, Eyal Klang   +8 more
wiley   +1 more source

Dimensionality reduction of the attributes using fuzzy optimized independent component analysis for a Big Data Intrusion Detection System

Научно-технический вестник информационных технологий, механики и оптики
Big data cybersecurity has garnered more attraction in recent years with the development of advanced machine learning and deep learning classifiers. These new classifier algorithms have significantly improved Intrusion Detection Systems (IDS).
R. Aswanandini, Ch. Deepa
doaj   +1 more source

Maternal Identity Among Mothers Who Survived Near‐Lethal Violence

Journal of Marriage and Family, EarlyView.
ABSTRACT Objective This study explores how mothers reconstructed their identity after surviving an attempted intimate partner homicide (IPH), in cases where their children were either directly or indirectly impacted by the violence. Background Although growing research has addressed risk factors and relationship dynamics preceding IPH, limited ...
Hila Avieli
wiley   +1 more source

A hyper-heuristic based on random gradient, greedy and dominance

, 2011
Hyper-heuristics have emerged as effective general methodologies that are motivated by the goal of building or selecting heuristics automatically to solve a range of hard computational search problems with less development cost.
Ender Özcan, Kheiri, Ahmed, Özcan, Ender, Ahmed Kheiri   +3 more
core   +2 more sources