Results 151 to 160 of about 43,512 (302)

An Iterated Greedy Algorithm for Solving the Blocking Flow Shop Scheduling Problem with Total Flow Time Criteria

International Journal of Industrial Engineering and Production Research, 2012
In this paper, we propose an iterated greedy algorithm for solving the blocking flow shop scheduling problem with total flow time minimization objective. The steps of this algorithm are designed very efficient.
Danial Khorasanian, Ghasem Moslehi
doaj  

The robustness improvement ratio of low-order network (Low) and higher-order network (High) under the optimization of Greedy Algorithm 2, Greedy Algorithm 3, and Simulated Annealing Algorithm.

(a) shows that greedy algorithm 2 has the smallest enhancement effect on network robustness. (b) and (c) illustrate that the greedy algorithm 3 and the simulated annealing algorithm show nearly linear growth in improving network robustness, while the ...
Yangsong Li (18155568), Chunlin Zheng (18155565), Hui Yao (240607), Yonglin Hu (147794), Chengjun Zhang (3700279), Cheng Fan (17164), Wenbin Yu (5578889), Xiaolin Cen (9330047)   +7 more
core   +1 more source

A Greedy Algorithm for Generative String Art

, 2022
International audienceComputational String Art is a method of creating a non-photorealistic rendering using lines drawn between pairs of pins. Given a set of pins and an image to render, we propose a greedy algorithm to determine a good set of lines to ...
Demoussel, Baptiste, Larboulette, Caroline, Dattatreya, Ravi   +2 more
core  

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

A Greedy Algorithm-Based Stem Cell LncRNA Signature Identifies a Novel Subgroup of Lung Adenocarcinoma Patients With Poor Prognosis. [PDF]

Front Oncol, 2020
Khadirnaikar S, Chatterjee A, Kumar P, Shukla S.   +3 more
europepmc   +1 more source

Advanced Experiment Design Strategies for Drug Development

Advanced Intelligent Discovery, EarlyView.
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang, Anthony Harker, Mohan Edirisinghe, Maryam Parhizkar   +3 more
wiley   +1 more source

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source

Cluster results of the greedy clustering algorithm.

Cluster results of the greedy clustering algorithm.
Huilong Jin (18388078), Xiaozi Jin (18388081), Yucong Zhou (1603270), Shuang Zhang (117657)   +3 more
core   +1 more source

Evolution of Physical Intelligence Across Scales

Advanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu, Tianyun Huang, Aming Li, Pengyu Lv, Tingting Qin, Wenhui Chen, Hui Wei, Huiling Duan   +7 more
wiley   +1 more source

Identifying representative sequences of protein families using submodular optimization

Scientific Reports
Identifying representative sequences for groups of functionally similar proteins and enzymes poses significant computational challenges. In this study, we applied submodular optimization, a method effective in data summarization, to select representative
Ha Nguyen, Hung Nguyen, Phuong Nguyen, Anh N. Luu, David C. Cantu, Tin Nguyen   +5 more
doaj   +1 more source