Numerical Simulation of Adiabatic Shear Bands Formation in Composites by N. A. Kudryashov, R. V. Muratov, P. N. Ryabov

“…Operability and effectiveness of this algorithm is confirmed. A numerical simulation of plastic flow localization in composite materials is performed. …”
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Multi-Strategy-Improvement-Based Slime Mould Algorithm by Donghai Huang, Tianbing Tang, Yi Yan

“…The simulation experiments have demonstrated that the enhanced algorithm exhibits faster convergence speed, enhanced stability, and a superior ability to escape local optima when compared to the other five algorithms in 50 benchmark test functions and multi-UAV cooperative path planning scenarios.…”
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A novel reindeer cyclone optimization algorithm (RCOA) by Gopal Chaudhary, Bharat S. Rawal

“…Abstract This paper introduces the Reindeer Cyclone Optimization Algorithm (RCOA), a novel metaheuristic optimization technique inspired by the survival behavior of reindeer during predator attacks in formation cyclonic storms. …”
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Multi-strategy collaborative optimization of gravitational search algorithm by Zhonghua Yang, Yuanli Cai, Ge Li, Peng Wang, Yu Chen

“…Abstract To address the shortcomings of the gravitational search algorithm, such as its tendency to fall into local optima, slow convergence, and low solution accuracy, this paper proposes a gravitational search algorithm based on multi-strategy cooperative optimization. …”
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Service chain-based approach for Web service composition by FU Yan-ning, LIU Lei, JIN Cheng-zhi

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Algorithmic Maps and the Political Geography of Early-modern Japan by Mark Ravina

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First order algorithms for computing linear and polyhedral estimates by Bekri, Yannis, Juditsky, Anatoli, Nemirovski, Arkadi

“…In this paper we (a) explain how to eliminate matrix variables, thus reducing dramatically the design dimension when passing from Interior Point to First Order optimization algorithms and (b) develop and analyse a dedicated algorithm of the latter type — Composite Truncated Level method.…”
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The Application of Compound Control Algorithm in Photovoltaic System MPPT by WANG Shenghui, LI Yilun, ZHENG Hong, GAO Shan

“…Aiming at the problem that the output array exhibits multipeak characteristics when the PV array is partially shaded or unevenly illuminated, the traditional singlepeak MPPT algorithm is difficult to track the maximum power point A hybrid algorithm is proposed to improve the particle swarm combined with the sliding mode search Firstly, the probability judgment criterion of improved simulated annealing algorithm is introduced into the standard particle swarm optimization algorithm; the law of inertia weight change is improved; the disturbance parameter is added to the learning factor Secondly, using the sliding mode extreme value search algorithm, the suspected optimal value obtained by the particle swarm optimization algorithm is continuously optimized, and finally the maximum power point is found The simulation results show that the composite control algorithm can track the maximum power point quickly and accurately under different shadow conditions, and avoid the system falling into the local optimum value…”
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Image denoising algorithm based on multi-channel GAN by Hongyan WANG, Xiao YANG, Yanchao JIANG, Zumin WANG

“…Aiming at the issue that the noise generated during image acquisition and transmission would degrade the ability of subsequent image processing, a generative adversarial network (GAN) based multi-channel image denoising algorithm was developed.The noisy color image could be separated into red-green-blue (RGB) three channels via the proposed approach, and then the denoising could be implemented in each channel on the basis of an end-to-end trainable GAN with the same architecture.The generator module of GAN was constructed based on the U-net derivative network and residual blocks such that the high-level feature information could be extracted effectively via referring to the low-level feature information to avoid the loss of the detail information.In the meantime, the discriminator module could be demonstrated on the basis of fully convolutional neural network such that the pixel-level classification could be achieved to improve the discrimination accuracy.Besides, in order to improve the denoising ability and retain the image detail as much as possible, the composite loss function could be depicted by the illustrated denoising network based on the following three loss measures, adversarial loss, visual perception loss, and mean square error (MSE).Finally, the resultant three-channel output information could be fused by exploiting the arithmetic mean method to obtain the final denoised image.Compared with the state-of-the-art algorithms, experimental results show that the proposed algorithm can remove the image noise effectively and restore the original image details considerably.…”
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Sequentially Modified Gravitational Search Algorithm for Image Enhancement by Ferzan Katırcıoğlu, Uğur Güvenç

“…Gravitational Search Algorithm (GSA) is based on the acceleration trend feature of objects with a mass towards each other and includes many interdependent parameters. …”
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SSCM: An Unambiguous Acquisition Algorithm for CBOC Modulated Signal by Yongxin Feng, Shunchao Fei, Fang Liu, Bo Qian

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Optimization of food compositions according to the ideal protein profile by S. V. Zverev, V. I. Karpov, M. A. Nikitina

“…The macro flowchart of the algorithm is presented and detailed description of each block is given. …”
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Address Translation in a Compositional Microprogram Control Unit by Alexandr Barkalov, Larysa Titarenko, Oleksandr Golovin, Oleksandr Matvienko

“…The language of graph-schemes of algorithms (GSA) is used to specify the algorithm for the CMCU operating. …”
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Application of a deep learning algorithm for the diagnosis of HCC by Philip Leung Ho Yu, Keith Wan-Hang Chiu, Jianliang Lu, Gilbert C.S. Lui, Jian Zhou, Ho-Ming Cheng, Xianhua Mao, Juan Wu, Xin-Ping Shen, King Ming Kwok, Wai Kuen Kan, Y.C. Ho, Hung Tat Chan, Peng Xiao, Lung-Yi Mak, Vivien W.M. Tsui, Cynthia Hui, Pui Mei Lam, Zijie Deng, Jiaqi Guo, Li Ni, Jinhua Huang, Sarah Yu, Chengzhi Peng, Wai Keung Li, Man-Fung Yuen, Wai-Kay Seto

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Optimal Design of Variable-Stiffness Fiber-Reinforced Composites by Evangelos P. Hadjigeorgiou, Christos A. Patsouras, Vassilios K. Kalpakides

“…The concept of variable-stiffness composites allows the stiffness properties to vary spatially in the material. …”
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Fishery Web Service Composition Method Based on Ontology by Qing-mei YU, Lan WANG, Dong-mei HUANG

“…The experimental results show that the algorithm used considers the services semantic similarity and adjusts web service composition plan by dynamically relying on the empirical data.…”
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Changes in composition and function of intestinal microbiota after cholecystectomy by JIANG Hongfei, YANG Min, JIAN Jincheng

“…Beta diversity analysis using the Bray-Curtis distance algorithm revealed a significant difference between the 2 groups at the class and genus levels (P<0.05). …”
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The Impact of Initial Composition on Massive Star Evolution and Nucleosynthesis by Christopher West, Alexander Heger, Benoit Côté, Lev Serxner, Haoxuan Sun

“…We study the sensitivity of presupernova evolution and supernova nucleosynthesis yields of massive stars to variations of the initial composition. We use the solar abundances from Lodders, and compute two different sets of initial stellar compositions: (i) scaled solar abundances and (ii) the isotopic galactic chemical history model (GCH) developed by C. …”
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Cluster Networking and Cooperative Localization Based on Biogeography Optimization and Improved Super-Multidimensional Scaling for Multi-Unmanned Aerial Vehicles by Shuhao Zhang, Huimin Zhang, Ying Zhan, Xiaokai Wei, Yang Liu

“…However, the frequent exchange of localization data among UAVs leads to significant energy consumption and escalates the computational complexity involved in multi-UAV cooperative localization tasks. To address these challenges, this paper proposes a cooperative localization algorithm that integrates a biogeography optimization-based cluster networking and adaptive sampling-improved Nystrom super-multidimensional scaling (BOCN-ASNSMS). …”
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A Bionic Social Learning Strategy Pigeon-Inspired Optimization for Multi-Unmanned Aerial Vehicle Cooperative Path Planning by Yankai Shen, Xinan Liu, Xiao Ma, Hong Du, Long Xin

“…This paper proposes a bionic social learning strategy pigeon-inspired optimization (BSLSPIO) algorithm to tackle cooperative path planning for multiple unmanned aerial vehicles (UAVs) with cooperative detection. …”
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