Results 191 to 200 of about 4,188 (302)

Multilevel learning aided coevolutionary particle swarm optimization algorithm for multiobjective fuzzy flexible job shop scheduling problem. [PDF]

Sci Rep
Chen J, Zhao H, Cui Z, Ma T.
europepmc   +1 more source

Deep Learning Inverse Design of Phase‐Change Reconfigurable Terahertz Metadevices for Multidimensional Secure Communication

Advanced Materials, EarlyView.
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong, Xieyu Chen, Aarthy Nagarajan, Yi Yang, Zhihao Wang, Rui Yu, Chuang Zheng, Chunmei Ouyang, Xueqian Zhang, Tun Cao, Ranjan Singh, Zhen Tian   +11 more
wiley   +1 more source

Solving Flexible Job-Shop Scheduling Problems Based on Quantum Computing. [PDF]

Entropy (Basel)
Fu K, Liu J, Chen M, Zhang H.
europepmc   +1 more source

Double‐Sided Mechanical Interlocking Enables Soft‐Rigid Conductive Interfaces With a Record High Toughness for Flexible Electronics

Advanced Materials, EarlyView.
A double‐sided mechanical interlocking strategy is developed to create robust electrical contact between polymer electrode and metal interconnect. The fibrous structure enables formation of thread–hole adhesion, which only breaks under bulk failure and achieves a record high interfacial energy exceeding 730 J·m−2. This adhesion secures the integrity of
Gang Li, Minkun Cai, Chunyan Cao, Zengbai Ouyang, Hong Fu, Lingyu Zhao, Bingang Xu   +6 more
wiley   +1 more source

A genetic algorithm with shuffle for job shop scheduling problems

, 2015
Job shop scheduling problems are computationally complex combinatorial optimization problems. Genetic algorithms have been used in various forms and in combination with other algorithms to solve job shop scheduling problems. A partially flexible job shop
Danielsson, Fredrik,, Reddy, Dhanush,, Svensson, Bo,   +2 more
core  

Dual-self-learning co-evolutionary algorithm for energy-efficient flexible job shop scheduling problem with processing- transportation composite robots. [PDF]

Sci Rep
Zhang M, Zhou M, Zhang L, Zhang Z.
europepmc   +1 more source

Soft Hardware, Flowing Software: Reconfigurable Microfluidics for Adaptable Chemical Computation

Advanced Materials, EarlyView.
A reconfigurable microfluidic platform based on soft, photo‐printable, and chemically erasable hydrogel structures printed and erased in situ is used to control flow routing, mixing, chemical patterning, and even chemical computing. Using hardware to control chemical computations decouples logic function from molecular composition, demonstrated via ...
Piet J. M. Swinkels, Brigitta Dúzs, Oliver Skarsetz, Kohei Nishiyama, Andreas Walther   +4 more
wiley   +1 more source

An enhanced walrus optimization algorithm for flexible job shop scheduling with parallel batch processing operation. [PDF]

Sci Rep
Lv S, Zhuang J, Li Z, Zhang H, Jin H, Lü S.   +5 more
europepmc   +1 more source

Strengthened Interfacial Coupling Between Self‐Assembled Monolayers and Bulk Heterojunctions Enables Thermally Stable Organic Solar Cells

Advanced Materials, EarlyView.
Molecularly engineered self‐assembled monolayers (SAMs) featuring extended conjugated terminals facilitate superior interfacial coupling with the organic solar cell active layer. By physically anchoring the local morphology, this design suppresses thermal degradation, allowing devices to operate at 85°C for 150 h before degrading to 90% of their ...
Gengxin Du, Zhihong Wang, Songyang Yuan, Wenlin Jiang, Shanchao Ouyang, Chengda Ge, Tian Xia, Yiting Jiang, Nan Zhang, Yidan An, Lingyi Ke, Sai Wing Tsang, Francis R. Lin, Qian Li, Alex K.‐Y. Jen, Xuechen Jiao, Yong Zhang, Hin‐Lap Yip   +17 more
wiley   +1 more source

A reinforcement learning based memetic algorithm for energy-efficient distributed two-stage flexible job shop scheduling problem. [PDF]

Sci Rep
Geng K, Liu L, Wu S.
europepmc   +1 more source