Results 51 to 60 of about 36,380 (225)

Intelligent Layout Method of Ship Pipelines Based on an Improved Grey Wolf Optimization Algorithm

Journal of Marine Science and Engineering
Ship piping arrangement is a nondeterministic polynomial problem. Based on the advantages of the grey wolf optimization (GWO) algorithm, which is simple, easy to implement, and has few adjustment parameters and fast convergence speed, the study adopts ...
Yongjin Lu, Kai Li, Rui Lin, Yunlong Wang, Hairong Han   +4 more
doaj   +1 more source

Daily Peak Load Forecasting Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Support Vector Machine Optimized by Modified Grey Wolf Optimization Algorithm

Energies, 2018
Daily peak load forecasting is an important part of power load forecasting. The accuracy of its prediction has great influence on the formulation of power generation plan, power grid dispatching, power grid operation and power supply reliability of power
Shuyu Dai, Dongxiao Niu, Yan Li
doaj   +1 more source

Improved Gaussian Puff Model and Grey Wolf Optimization Algorithm for Gas Source Localization

Applied Sciences
For gas source localization in three-dimensional space, the leakage diffusion of the gas source is first modeled as a superposition of multiple Gaussian puffs.
Xiangjin Zeng, Song Feng, Hengyu Zhou
doaj   +1 more source

Classification and Redshift Estimation in Multi-Color Surveys [PDF]

, 2000
We present a photometric method for identifying stars, galaxies and quasars in multi-color surveys and estimating multi-color redshifts for the extragalactic objects. We use a library of >65000 color templates for comparison with observed objects.
Meisenheimer, Klaus, Röser, Hermann-Josef, Wolf, Christian   +2 more
core   +3 more sources

Modified Discrete Grey Wolf Optimizer Algorithm for Multilevel Image Thresholding [PDF]

Computational Intelligence and Neuroscience, 2017
The computation of image segmentation has become more complicated with the increasing number of thresholds, and the option and application of the thresholds in image thresholding fields have become an NP problem at the same time. The paper puts forward the modified discrete grey wolf optimizer algorithm (MDGWO), which improves on the optimal solution ...
Linguo Li, Lijuan Sun, Jian Guo, Jin Qi, Bin Xu, Shujing Li   +5 more
openaire   +2 more sources

Stochastic Nanoscale Biophysical Cues as a Basis for the Induction of Glioblastoma‐Like Transcriptional Programs in Astrocytes

Advanced Science, EarlyView.
Stochastic nanoscale physical cues induce glioblastoma (GBM)‐associated transcriptional traits in naïve astrocytes leading to spontaneous formation of spheroids. Cells within spheroids express activated‐MMP2 and a differential gene expression pattern involving P53 and NOTCH3, providing evidence for a role for changes in brain topography, as observed in
Laurent Starck, Tobias Butelmann, Sabrina Hogan, Melika Sarem, Bernd Heimrich, Ritwick Sawarkar, Marie‐Françoise Ritz, Gregor Hutter, V. Prasad Shastri   +8 more
wiley   +1 more source

Fuzzy Multilevel Image Thresholding Based on Improved Coyote Optimization Algorithm

IEEE Access, 2021
Due to the computational complexity of multilevel image thresholding, Swarm Intelligence Optimization Algorithm (SIOA) has been widely applied to improve the calculation efficiency.
Linguo Li, Lijuan Sun, Yu Xue, Shujing Li, Xuwen Huang, Romany Fouad Mansour   +5 more
doaj   +1 more source

Gray Wolf optimization method for automatic ventilation systems of clean accessories [PDF]

, 2018
У роботі розглядається можливість оптимізації систем автоматичного регулювання технологічних параметрів неперервних процесів. Проведено огляд сучасних пошукових алгоритмів оптимізації, подібних до роботи біологічних та фізичних об’єктів і структур ...
Піргач, Юлія Сергіївна, Степанець, Олександр Васильович   +1 more
core   +1 more source

An Intelligent Grey Wolf Optimizer Algorithm for Distributed Compressed Sensing [PDF]

Computational Intelligence and Neuroscience, 2018
Distributed Compressed Sensing (DCS) is an important research area of compressed sensing (CS). This paper aims at solving the Distributed Compressed Sensing (DCS) problem based on mixed support model. In solving this problem, the previous proposed greedy pursuit algorithms easily fall into suboptimal solutions.
Haiqiang Liu, Gang Hua, Hongsheng Yin, Yonggang Xu   +3 more
openaire   +2 more sources

A Scalable Framework for Comprehensive Typing of Polymorphic Immune Genes from Long‐Read Data

Advanced Science, EarlyView.
SpecImmune introduces a unified computational framework optimized for long‐read sequencing to resolve over 400 highly polymorphic immune genes. This scalable approach achieves high‐resolution typing, enabling the discovery of cross‐family co‐evolutionary networks and population‐specific diversity.
Shuai Wang, Xuedong Wang, Mengyao Wang, Qian Zhou, Lusheng Wang, Shuai Cheng Li   +5 more
wiley   +1 more source