Results 51 to 60 of about 1,066,632 (248)

A survey on PSO based meta-heuristic scheduling mechanism in cloud computing environment

Journal of King Saud University: Computer and Information Sciences, 2022
With the increasing of the scale of task or request and dynamic nature of cloud resources, it gives significant issues of load balancing, resource utilization, task allocation, and system performance and so on.
Arabinda Pradhan, Sukant Kishoro Bisoy, Amardeep Das   +2 more
doaj   +1 more source

A Global Methane Observation System to Reduce Uncertainty for Anthropogenic and Natural Sources and Sinks for Detecting and Attributing Climate Feedbacks

Advanced Science, EarlyView.
Conceptual illustration of a Global Ecosystem Methane Observing System (GEM‐OS) integrating satellites, aircraft, atmospheric networks, and ecosystem measurements to quantify methane emissions from anthropogenic and natural sources. The multi‐scale observing framework improves source attribution, reduces uncertainty in regional methane budgets, and ...
P. Ciais, S. Peng, J. Chang, F. Li, Q. Zhu, K. Yuan, G. Hugelius, H. Li, Y. Cai, F. Chevallier, K. Tibrewal, E. A. Kort, K. Arndt, J. Watts, B. Buma, N. Besic, P. I. Palmer, H. Cadillo‐Quiroz, E. Euskirchen, M. J. Gondwe, A. Hoyt, R. Jackson, S. Malone, D. Monteverde, S. Natali, M. Ramonet, C. Rey‐Sanchez, L. B. Sagang, E. A. G. Schuur, R. Vargas, R. Varner, Z. Zhang, B. Poulter   +32 more
wiley   +1 more source

Informe de práctica empresarial, Alcaldía de Restrepo

, 2023
Informe de práctica profesional del programa de Comunicación Social y PeriodismoLa Alcaldía de Restrepo se crea cuando por medio del Decreto 904 del 23 de septiembre de 1912 cuando el caserío La Concepción fue elevado a la categoría de municipio ...
Sandoval Cisneros, Laura Camila
core  

MAPA: A Semantic Network Framework for Functional Module Discovery and Interpretation in Multi‐Omics Data

Advanced Science, EarlyView.
MAPA transforms complex multi‐omics data into biologically coherent functional modules by integrating pathway information with molecular interaction networks. Retrieval‐augmented large language models then generate structured, literature‐informed interpretations.
Yifei Ge, Feifan Zhang, Yijiang Liu, Chao Jiang, Peng Gao, Nguan Soon Tan, Sai Zhang, Yuchen Shen, Qianyi Zhou, Xin Zhou, Xiao Wang, Fangqing Zhao, Chuchu Wang, Xiaotao Shen   +13 more
wiley   +1 more source

Scheduling Reentrant FlowShops: Reinforcement Learning‐guided Meta‐Heuristics

IET Collaborative Intelligent Manufacturing
The reentrant flowshop scheduling problems (RFSP) are ubiquitous in high‐tech industries such as semiconductor manufacturing and liquid crystal display (LCD) production. Given the complexity of RFSP, it is significant to improve the production efficiency
Jingwen Yuan, Kaizhou Gao, Adam Slowik, Benxue Lu, Yanan Jia   +4 more
doaj   +1 more source

Preventive maintenance scheduling: a simulation-optimization approach

Production and Manufacturing Research: An Open Access Journal, 2021
This paper presents a framework for preventive maintenance (PM) scheduling in the semiconductor industry. We propose an approach for finding PM’s start time within a PM window to minimize production losses due to maintenance activities. In this study, we
Agus Darmawan, D. Daniel Sheu
doaj   +1 more source

Nature-Inspired Algorithms from Oceans to Space: A Comprehensive Review of Heuristic and Meta-Heuristic Optimization Algorithms and Their Potential Applications in Drones

Drones, 2023
This paper reviews a majority of the nature-inspired algorithms, including heuristic and meta-heuristic bio-inspired and non-bio-inspired algorithms, focusing on their source of inspiration and studying their potential applications in drones.
Shahin Darvishpoor, Amirsalar Darvishpour, Mario Escarcega, Mostafa Hassanalian   +3 more
doaj   +1 more source

Dynamic problems and nature inspired meta-heuristics

, 2009
Biological systems have often been used as the inspiration for search techniques to solve continuous and discrete combinatorial optimisation problems.
Tim Hendtlass (18926068), Irene Moser (18924244), Marcus Randall (7522046)   +2 more
core   +1 more source

Q‐LEAP: Millisecond Hyperdimensional Optimization for Full‐Spectrum Optical Metamaterials

Advanced Science, EarlyView.
Q‐LEAP integrates physics‐informed residual machine learning with factorization‐machine‐encoded quantum annealing to design full‐spectrum optical metamaterials. It explores a 2108 design space and, in a single 2.56 ms annealing step, reaches 85.83% of the theoretical FoM limit, enabling selective 5‐8 µm emission with 3–5 and 8–14 µm suppression and ∼40×
Zikang Guo, Yunwen Wu, Yuhui Guo, Shenghong Ju   +3 more
wiley   +1 more source

Meta-heuristic approaches for the University Course Timetabling Problem

Intelligent Systems with Applications, 2023
Course timetabling is an ongoing challenge that universities face all around the world. This combinatorial optimization task involves allocating a set of events into finite time slots and rooms while attempting to satisfy a set of predefined constraints.
Sina Abdipoor, Razali Yaakob, Say Leng Goh, Salwani Abdullah   +3 more
doaj   +1 more source