Results 91 to 100 of about 22,784 (309)

Biased Bi-Population Evolutionary Algorithm for Energy-Efficient Fuzzy Flexible Job Shop Scheduling with Deteriorating Jobs

Complex System Modeling and Simulation
There are many studies about flexible job shop scheduling problem with fuzzy processing time and deteriorating scheduling, but most scholars neglect the connection between them, which means the purpose of both models is to simulate a more realistic ...
Libao Deng, Yingjian Zhu, Yuanzhu Di, Lili Zhang   +3 more
doaj   +1 more source

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

Dynamic flexible job shop co-scheduling optimization based on graph neural network and deep reinforcement learning

Operations Research Perspectives
With the continuous advancement of manufacturing, job shop scheduling faces complex dynamic disturbances that pose significant challenges to production.
Lan Yang, Zhong Yang, Li Bi, Xiaogang Jiao   +3 more
doaj   +1 more source

Computing Idle Times in Fuzzy Flexible Job Shop Scheduling

Algorithms
The flexible job shop scheduling problem is relevant in many different areas. However, the usual deterministic approach sees its usefulness limited, as uncertainty plays a paramount role in real-world processes. Considering processing times in the form of fuzzy numbers is a computationally affordable way to model uncertainty that enhances the ...
Pablo García Gómez, Inés González-Rodríguez, Camino R. Vela   +2 more
openaire   +3 more sources

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

Melt Grafting of Geometry‐Tailored Voltage Stabilizers for High‐Performance Polypropylene Insulation

Advanced Functional Materials, EarlyView.
A scalable one‐step melt grafting strategy is developed to enhance the dielectric properties of isotactic polypropylene by covalently incorporating thermally stable aromatic voltage stabilizers. This solvent‐free approach improves volume resistivity and DC breakdown strength through deep trap formation and charge localization, offering a sustainable ...
Nazirul Mubin bin Normansah, Taehoon Kwon, Hana Kim, Shin‐Ki Hong, Seung Won Lee, Se Hee Lee, Ik‐Su Kwon, Masahiro Kozako, Minhee Kim, Seunggun Yu   +9 more
wiley   +1 more source

A Hybrid Framework Integrating Machine-learning and Mathematical Programming Approaches for Sustainable Scheduling of Flexible Job-shop Problems

Chemical Engineering Transactions, 2023
Flexible job shop scheduling has received considerable attention due to its extensive applications in manufacturing. High-quality scheduling solutions are desired but hard to be guaranteed due to the NP-hardness of computational complexity. In this work,
Dan Li, Taicheng Zheng, Jie Li, Aydin Teymourifar   +3 more
doaj  

Geometry‐Dependent Adhesion in Transparent Monodomain Liquid Crystal Elastomers

Advanced Functional Materials, EarlyView.
Liquid Crystal Elastomers (LCEs) are emerging as exciting pressure‐sensitive adhesives. We examine adhesion in chemically identical elastomer films, exploring the influence of geometry (director orientation) and phase (nematic or isotropic). We demonstrate the potential of these aligned films as transparent, tunable, broad‐temperature‐range smart ...
Aidan Street, Devesh Mistry, Johan Mattsson, Helen F. Gleeson   +3 more
wiley   +1 more source

Research on deep reinforcement learning based intelligent shop scheduling method

物联网学报, 2022
The unprecedented prosperity of the industrial internet of things (IIoT) has opened up a new path for the traditional industrial manufacturing model.Intelligent shop scheduling is one of the key technologies to achieve the overall control and flexible ...
Zihui LUO, Chengling JIANG, Liang LIU, Xiaolong ZHENG, Huadong MA   +4 more
doaj  

An Improved African Vulture Optimization Algorithm for Dual-Resource Constrained Multi-Objective Flexible Job Shop Scheduling Problems. [PDF]

Sensors (Basel), 2022
He Z, Tang B, Luan F.
europepmc   +1 more source