Results 11 to 20 of about 1,533,628 (86)

On the use of biased-randomized algorithms for solving non-smooth optimization problems [PDF]

open access: yes, 2020
Soft constraints are quite common in real-life applications. For example, in freight transportation, the fleet size can be enlarged by outsourcing part of the distribution service and some deliveries to customers can be postponed as well; in inventory ...
Juan A.A.   +4 more
core   +2 more sources

Acknowledgment to Reviewers of Algorithms in 2020

open access: yes, 2021
Peer review is the driving force of journal development, and reviewers are gatekeepers who ensure that Algorithms maintains its standards for the high quality of its published papers [...
Algorithms Editorial Office Algorithms Editorial Office
core   +2 more sources

The mental representation of nonnumerical quantifiers: The Spatial-Linguistic Association of Response Codes (SLARC) effect

open access: yes, 2021
How quantifiers are represented in the human mind is still a topic of intense debate. Seminal studies have addressed the issue of how a subclass of quantifiers, that is, number words, is spatially coded displaying the Spatial-Numerical Association of ...
Foppolo, Francesca   +3 more
core   +1 more source

Combinación de heurística con simulación y lógica difusa para resolver un problema de enrutamiento de ubicación de tamaño flexible bajo incertidumbre

open access: yes, 2020
23 páginasThe location routing problem integrates both a facility location and a vehicle routing problem. Each of these problems are NP-hard in nature, which justifies the use of heuristic-based algorithms when dealing with large-scale instances that ...
Panadero, Javier   +4 more
core   +1 more source

Using biased-randomized algorithms for the multi-period product display problem with dynamic attractiveness

open access: yes, 2020
From brick-and-mortar stores to omnichannel retail, the efficient selection of products to be displayed on store tables, advertising brochures, or online front pages has become a critical issue.
Carmo Martins, Leandro do   +4 more
core   +1 more source

The sparse awakens : streaming algorithms for matching size estimation in sparse graphs [PDF]

open access: yes, 2017
Estimating the size of the maximum matching is a canonical problem in graph analysis, and one that has attracted extensive study over a range of different computational models.
Muthukrishnan, S.   +3 more
core   +1 more source

Data‐Driven Review and Machine Learning Prediction of Diamond Vacancy Center Synthesis

open access: yesAdvanced Intelligent Systems, Volume 8, Issue 5, May 2026.
A machine learning framework is applied to photoluminescence spectra to extract linewidths and uncover how NV, SiV, GeV, and SnV centers evolve with growth and processing conditions. Unified normalization and k‐fold validation reveal cross‐method trends and enable rapid prediction of defect size and fabrication parameters, offering a data‐driven route ...
Zhi Jiang   +3 more
wiley   +1 more source

Maternal High‐Fat Diet and Neonatal LPS Exposure Prolong USV Sequences and Shift Call‐Type Repertoires in Neonatal Rats

open access: yesDevelopmental Psychobiology, Volume 68, Issue 2, March 2026.
ABSTRACT Rodent pups emit ultrasonic vocalizations (USVs) to solicit maternal care, enhancing survival. Inflammatory stressors, such as maternal high‐fat diet (mHFD) and neonatal lipopolysaccharide (nLPS) exposure, affect neonatal neurodevelopment and behavior.
Mansi Kamlesh Purohit   +4 more
wiley   +1 more source

Artificial Intelligence‐Based OSAS Biomarker Screening and Prediction Algorithm

open access: yesIET Biometrics, Volume 2026, Issue 1, 2026.
Traditional biomarker research has the problems of low manual screening efficiency, strong subjectivity, small sample size but high feature dimension, and difficulty in capturing complex relationships between variables, which limits its practical application in clinical practice.
Ting Lu, Liang Wu, Shuai Zhao
wiley   +1 more source

Modified Kepler Optimization Algorithm to Identify Optimal Values of Double‐Diode Dynamic Model of Perovskite Solar Cell

open access: yesApplied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.
The global transition to renewable energy sources plays a crucial role in lowering carbon emissions and mitigating greenhouse gas accumulation. Among emerging technologies, perovskite solar cells (PSCs) have garnered significant attention as a next‐generation photovoltaic solution due to their exceptional optoelectronic properties, potential for ...
Motab Turki Almousa   +4 more
wiley   +1 more source

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