Non‐destructive optical sensing technologies for advancing the egg industry toward Industry 4.0: A review

MW Ahmed, SJ Hossainy… - … Reviews in Food …, 2023 - Wiley Online Library
The egg is considered one of the best sources of dietary protein, and has an important role
in human growth and development. With the increase in the world's population, per capita …

[HTML][HTML] AI augmented Edge and Fog computing: Trends and challenges

S Tuli, F Mirhakimi, S Pallewatta, S Zawad… - Journal of Network and …, 2023 - Elsevier
In recent years, the landscape of computing paradigms has witnessed a gradual yet
remarkable shift from monolithic computing to distributed and decentralized paradigms such …

[PDF][PDF] 多目标进化算法性能评价指标研究综述

王丽萍, 任宇, 邱启仓, 邱飞岳 - 计算机学报, 2021 - cjc.ict.ac.cn
多目标进化算法性能评价指标研究综述 Page 1 第??卷第?期 计算机学报 Vol. ?? No. ? 20??年
?月 CHINESE JOURNAL OF COMPUTERS ???. 20?? 收稿日期:年-月-日;最终修改稿收到日期 …

Chaotic improved PICEA-g-based multi-objective optimization for workflow scheduling in cloud environment

P Paknejad, R Khorsand, M Ramezanpour - Future Generation Computer …, 2021 - Elsevier
Mapping of workflow tasks to computational resources in the cloud environment has
engendered research interest in workflow scheduling. As workflow scheduling belongs to …

A survey on scheduling techniques in computing and network convergence

S Tang, Y Yu, H Wang, G Wang, W Chen… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The computing demand for massive applications has led to the ubiquitous deployment of
computing power. This trend results in the urgent need for higher-level computing resource …

Growable Genetic Algorithm with Heuristic-based Local Search for multi-dimensional resources scheduling of cloud computing

G Zhou, WH Tian, R Buyya, K Wu - Applied Soft Computing, 2023 - Elsevier
Abstract Multi-Dimensional Resources Scheduling Problem (MDRSP, usually a multi-
objective optimization problem) has attracted focus in the management of large-scale cloud …

An enhance multimodal multiobjective optimization genetic algorithm with special crowding distance for pulmonary hypertension feature selection

M Wang, X Li, L Chen - Computers in biology and medicine, 2022 - Elsevier
Multiobjective optimization assumes a one-to-one mapping between decisions and
objective space, however, this is not always the case. When many variables have the same …

Multi-objective workflow optimization strategy (MOWOS) for cloud computing

JK Konjaang, L Xu - Journal of Cloud Computing, 2021 - Springer
Workflow scheduling involves mapping large tasks onto cloud resources to improve
scheduling efficiency. This has attracted the interest of many researchers, who devoted their …

An adaptive scheduling approach based on integrated best-worst and VIKOR for cloud computing

E Rafieyan, R Khorsand, M Ramezanpour - Computers & Industrial …, 2020 - Elsevier
Cloud computing is a new distributed environment to provide on-demand services through
the internet and has become popular due to this specific feature. By increasing the count of …

Effectiveness review of the machine learning algorithms for scheduling in cloud environment

GU Srikanth, R Geetha - Archives of Computational Methods in …, 2023 - Springer
Cloud computing becomes rapid growing technology using virtualization and Service
Oriented Architecture (SOA), developed as one of the sought-after computing models. It is a …