Results 141 to 150 of about 481,157 (359)

Learning Robust Search Strategies Using a Bandit-Based Approach

, 2018
Effective solving of constraint problems often requires choosing good or specific search heuristics. However, choosing or designing a good search heuristic is non-trivial and is often a manual process.
Xia, Wei, Yap, Roland H. C.
core   +1 more source

The peculiarities of archival heuristics in seeking information on the history of Soviet industry of Sevastopol in the central archives (on the example of the source complex on the history of Sevastopol branch of the Central Research Institute “Compass” in the Central State Archive of Scientific and Technical Documentation of St. Petersburg)

, 2021
Anna Vasil'evna Kuz'mina, Roman Sergeevich Lyalin   +1 more
openalex   +2 more sources

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

An Energy-Efficient Unrelated Parallel Machine Scheduling Problem with Batch Processing and Time-of-Use Electricity Prices

Mathematics
The extensive consumption of energy in manufacturing has led to a large amount of greenhouse gas emissions that have caused an enormous effect on the environment.
Liman Feng, Guo Chen, Shengchao Zhou, Xiaojun Zhou, Mingzhou Jin   +4 more
doaj   +1 more source

Document query processing strategies: cost evaluation and heuristics [PDF]

, 1988
Elisa Bertino, S. Gibbs, Fausto Rabitti
openalex   +1 more source

Identification of Exhaled Volatile Organic Compounds Biomarkers for Lung Cancer Under Data‐Limited Conditions Using Data Augmentation and Multi‐View Feature Selection

Advanced Intelligent Discovery, EarlyView.
This work introduces a novel framework for identifying non‐small cell lung cancer biomarkers from hundreds of volatile organic compounds in breath, analyzed via gas chromatography‐mass spectrometry. This method integrates generative data augmentation and multi‐view feature selection, providing a stable and accurate solution for biomarker discovery in ...
Guancheng Ren, Bohao Liu, Zhiyuan Qu, Xue Jiang, Heng Zhao, Danyao Qu, Ruizhi Ning, Chen Su, Taoping Liu, Guangjian Zhang, Weiwei Wu   +10 more
wiley   +1 more source

Improved Heuristics for the Early/Tardy Scheduling Problem with No Idle Time [PDF]

In this paper we consider the single machine earliness/tardiness scheduling problem with no idle time. We present two new heuristics, a dispatch rule and a greedy procedure, and also consider the best of the existing dispatch rules.
Jorge M. S. Valente, Rui A. F. S. Alves
core  

Historical analisys and heuristics as a function of emergency team education: Experience of the CMoD Zrenjanin [PDF]

, 2015
Paun J. Bereš, Kristian P. Bereš, Sreten S. Cvetković, Radovan M. Jazić   +3 more
openalex   +1 more source

Advanced Experiment Design Strategies for Drug Development

Advanced Intelligent Discovery, EarlyView.
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang, Anthony Harker, Mohan Edirisinghe, Maryam Parhizkar   +3 more
wiley   +1 more source

CENTRAL ASIA: HEURISTICS AND MODELS [PDF]

, 2018
A. KARIMOVA
openalex   +1 more source