Results 151 to 160 of about 3,395,069 (243)

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

Design of application-oriented disease diagnosis model using a meta-heuristic algorithm. [PDF]

Technol Health Care
Wang Z, Wang S, Wang M, Sun Y.
europepmc   +1 more source

Balancing efficiency and robustness in project team formation: a hybrid evolutionary‐MCDM approach

International Transactions in Operational Research, EarlyView.
Abstract Effective team formation requires balancing technical skills, personality compatibility, and project constraints when selecting small teams from large candidate pools. Traditional multi‐criteria decision‐making (MCDM) methods provide rigorous evaluation but face scalability limitations.
Georgios Stavrou, Panagiotis Adamidis, Jason Papathanasiou   +2 more
wiley   +1 more source

Efficient exact formulations for the flexible job shop scheduling with flexible maintenance

International Transactions in Operational Research, EarlyView.
Abstract In modern manufacturing systems, integrating preventive maintenance into production scheduling is essential to ensure operational efficiency and equipment reliability. This paper addresses the flexible job shop scheduling problem under machine unavailability constraints caused by non‐fixed maintenance tasks.
Tom Perroux, Taha Arbaoui, Leila Merghem Boulahia, Khaled Hadj‐Hamou, Jean‐Dominique Regazzoni   +4 more
wiley   +1 more source

Fairness‐aware insurance pricing: A multi‐objective optimization approach

Journal of Risk and Insurance, EarlyView.
Abstract Machine‐learning models can provide accurate predictions in insurance pricing, but can also increase disparities between protected groups. Existing fairness‐aware pricing approaches typically target one fairness notion at a time, making it difficult to compare trade‐offs between predictive accuracy, group fairness, individual fairness, and ...
Tim J. Boonen, Xinyue Fan, Zixiao Quan
wiley   +1 more source

Networked Regional Resilience: Diffusion of Risk and Adaptation Across Interconnected Regions

Journal of Regional Science, EarlyView.
ABSTRACT Regions face not only direct exposure to economic and physical shocks but also indirect consequences of actions in interconnected regions. This paper examines how socio‐spatial networks shape regional resilience to contagious shocks through dynamic feedback between risk diffusion and adaptation diffusion.
Xiaoyi Han, Yilan Xu, Yi Huang, Linlin Fan, Minhong Xu, Song Gao   +5 more
wiley   +1 more source

The Use of Artificial Intelligence in Neonatal Seizure Detection: An Artificial Intelligence‐Assisted Systematic Review

Journal of Paediatrics and Child Health, EarlyView.
ABSTRACT Background Artificial intelligence (AI) is increasingly used in health care. We systematically reviewed evidence on the accuracy of AI in detecting neonatal seizures. Methods We searched PubMed and CENTRAL (covering Medline, EMBASE, CINAHL and trial registries) (29 December 2025) for studies that evaluated the use of all AI applications for ...
Nai Ming Lai, Kee Thai Yeo, Juin Yee Kong, Menghao Duan, Shaun Wen Huey Lee, Nathorn Chaiyakunapruk, Karan Varshney, Colleen Ovelman, Kee‐Hsin Chen   +8 more
wiley   +1 more source

An Umbrella Review of Artificial Intelligence Applications in Mental Health Care

Journal of Psychiatric and Mental Health Nursing, EarlyView.
ABSTRACT Background Artificial intelligence (AI) is increasingly used in mental health care to address rising demand, workforce shortages and access barriers; however, evidence remains scattered across multiple systematic reviews, limiting synthesis and practical application.
Jonathan Odame, Gabriel Obeng‐Gyamfi, Dayeon Heo, Audrey Boahemaa Kusi, Charles Kwanin, Michael Agyemang Adarkwah, Evans Appiah Osei   +6 more
wiley   +1 more source

Error detection is not necessary for representation

Mind &Language, EarlyView.
Some philosophers have recently proposed an error detection condition (EDC) for representation, such that for R$$ R $$ to be a representation for system S$$ S $$, S$$ S $$ must be capable of detecting errors in tokenings of R$$ R $$. We argue that this condition is unmotivated, and that it is too strong. We show that theories of representation that are
Ori Hacohen, Kenneth Aizawa
wiley   +1 more source

Embedding mental files in the world

Mind &Language, EarlyView.
Cognitive scientific explanations can take either a mechanistic or design perspective. Some recent philosophical works propose to apply the mechanistic perspective to the influential mental file framework. The design perspective, however, remains underexplored.
Zhengxi Jin
wiley   +1 more source