Results 231 to 240 of about 122,614 (295)

Multi-seed searching algorithm for integrated codon optimization of mRNA stability and translational efficiency in vaccine design. [PDF]

Brief Bioinform
Bo Y, Liu B, Huang S, Liu Y, Deng L, Zhang D, Zhang J.   +6 more
europepmc   +1 more source

AI‐Driven Precision Annealing for High Performance Fe‐Based Amorphous Alloys

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
The four stages of the research process are as follows: First, data is collected and a database is constructed. This is followed by feature selection and analysis, then the establishment of machine learning models, and finally formulation design and preparation.
Yichuan Tang, Shaopeng Liu, Silong Li, Ruonan Ma, Peinan Li, Zheng Wang, Kun Wang, Kaiyan Cao, Sidan Ding, Chao Zhou, Fanghua Tian, Sen Yang, Minxia Fang, Yin Zhang   +13 more
wiley   +1 more source

A forward dynamics framework for parameter optimization of the EMG-driven musculoskeletal model. [PDF]

J Neuroeng Rehabil
Xie H, Wang Y, Liu T, Yan S, Zhang Y, Zhang K, Song X.   +6 more
europepmc   +1 more source

Satellite Observation Mission Resource Scheduling Based on Dynamic Coalition Algorithm. [PDF]

Sensors (Basel)
Zhai S, Zhang T, Chen H.
europepmc   +1 more source

Research on emergency truck dispatching scheme for the high speed railway freight interruption. [PDF]

PLoS One
Guo S, Hu Z, Zhao S, Feng J.
europepmc   +1 more source

A surrogate-based inverse design framework for targeted diameter control of electrospun nanofibers. [PDF]

Sci Rep
Mahdian M, Ender F, Pardy T.
europepmc   +1 more source

Spider: a flexible and unified framework for simulating spatial transcriptomics data. [PDF]

Bioinformatics
Yang J, Wei N, Qu Y, Hu C, Zhang W, Liu L, Wu HJ, Zheng X.   +7 more
europepmc   +1 more source

Near-Optimal Decoding Algorithm for Color Codes Using Population Annealing. [PDF]

Entropy (Basel)
Martínez-García F, F Pereira FR, Parrado-Rodríguez P.   +2 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Parallel Simulated Annealing Algorithms

Journal of Parallel and Distributed Computing, 1996
Simulated annealing (SA) has been considered a good tool for complex nonlinear optimization problems. The technique has been widely applied to a variety of problems. However, a major disadvantage of the technique is that it is extremely slow and hence not suitable for complex optimization problems such as scheduling.
D. Janaki Ram, T. H. Sreenivas, K. Ganapathy Subramaniam   +2 more
openaire   +1 more source

A parallel simulated annealing algorithm

Parallel Computing, 1993
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nicolas Boissin, Jean-Luc Lutton
openaire   +2 more sources