Evaluation of Geomembrane Effect Based on Mobilized Shear Stress due to Localized Sinking by Weihua Lu, Yongxing Zhang, Weizheng Liu, Cheng Liu, Haibo Wang

“…In this study, a semiempirical prediction method for evaluating the geomembrane effect of the basal reinforcement was proposed, and an iterative solution for calculating tensile strains of a deflected geosynthetic was deduced. …”
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Accelerated Convergence Method for Flow Field Based on DMD-POD Combined Reduced-Order Optimization Model by Jianhui Li, Jun Huang, Yahui Sun, Guoqiang Li

“…This optimized solution is then used as the initial field, and the solver continues iterating until the residual converges. Taking full advantage of both DMD and POD, the proposed approach removes the interference of high-frequency oscillatory flow components and concentrates on the main energy components. …”
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A Novel Particle Filter Based on One-Step Smoothing for Nonlinear Systems with Random One-Step Delay and Missing Measurements by Zhenrong Yang, Xing Zhang, Wenqian Xiang, Xiaohui Lin

“…To address particle degradation, the proposed particle filter iteratively incorporates current measurement information derived from sensors into the prior distribution to construct a new importance function. …”
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Optimal Containment Control for Unknown Active Heterogeneous MASs via Model-Free Recursive Reinforcement Learning by Lina Xia, Qing Li, Ruizhuo Song, Gaofu Yang

“…Then, a model-free recursive reinforcement learning (RRL) algorithm is devised to learn the optimal control protocol, which demonstrates that the weight iteration error asymptotically converges to zero, and the algorithm exhibits favorable convergence speed. …”
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Optimal Capacity Allocation of Large-Scale Wind-PV-Battery Units by Kehe Wu, Huan Zhou, Jizhen Liu

“…Second, the utilization rate of renewable energy sources and maximum wind-PV complementation was considered and the objective function of full life cycle-net present cost (NPC) was calculated through hybrid iteration/adaptive hybrid genetic algorithm (HIAGA). …”
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ATTRIBUTES FOR THE FUNDAMENTAL REQUIREMENTS OF A GOOD PRACTICE OF ONLINE COURSE: A REFLECTIVE STUDY ON THE 1ST INDONESIAN MASSIVE OPEN ONLINE COURSE (IMOOC) by Hanung Triyoko, Muhamad Hasbi

“…This reflective study evaluated the first iteration of Indonesian Massive Open Online Course (IMOOC), in 2017, perceived from both facilitator and participant point of view, taking the IMOOC IAIN Salatiga camp as the sample subject of the study. …”
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Coupled Geomechanics and Flow Modeling of Fractured Reservoirs considering Matrix Permeability Anisotropy by Dawei Wu, Yuan Di, Yu-Shu Wu

“…The coupled geomechanics and flow system is solved using the fixed-stress split iterative coupling strategy with the dynamic hydraulic parameters of matrix and fractures updated separately. …”
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Dynamic Response Analysis of Planar Multilink Mechanism considering Wear in Clearances by Shuai Jiang, Xiulong Chen, Yu Deng

“…Normal contact force and friction force models of revolute clearance joints used Lankarani–Nikravesh (L-N) and LuGre models, respectively. The iterative wear prediction process based upon Archard’s model has been applied to calculate wear characteristics. …”
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Appling the Roulette Wheel Selection Approach to Address the Issues of Premature Convergence and Stagnation in the Discrete Differential Evolution Algorithm by Asaad Shakir Hameed, Haiffa Muhsan B. Alrikabi, Abeer A. Abdul–Razaq, Zakir Hussain Ahmed, Huda Karem Nasser, Modhi Lafta Mutar

“…However, like many other EAs, it still faces problems such as premature convergence and stagnation during the iterative process. To address these concerns in the DDE algorithm, this work aims to achieve the following objectives: (i) investigate the causes of premature convergence and stagnation in the DDE algorithm; (ii) propose techniques to prevent premature convergence and stagnation in DDE, including a quantitative measurement of premature convergence based on the level of mismatching between the population solutions and then divide the population into individual groups based on the level of mismatching between the population solutions and the best solution; and applying the roulette wheel selection (RWS) approach to determine whether a higher degree of nonmatching is more suitable for choosing a population of separate groups to be able to produce a new solution with more options to prevent the occurrence of premature convergence; (iii) evaluate the effectiveness of the proposed techniques through employing the DDE algorithm to solve the quadratic assignment problem (QAP) as a standard to evaluate our results and their effect on avoiding premature convergence and stagnation issues, which led to the enhancement of the algorithm’s accuracy. …”
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Towards Enhancement of Performance of K-Means Clustering Using Nature-Inspired Optimization Algorithms by Simon Fong, Suash Deb, Xin-She Yang, Yan Zhuang

“…Optimization algorithms have their advantages in guiding iterative computation to search for global optima while avoiding local optima. …”
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Maximum Likelihood Angle-Range Estimation for Monostatic FDA-MIMO Radar with Extended Range Ambiguity Using Subarrays by Kaikai Yang, Sheng Hong, Qi Zhu, Yanheng Ye

“…To reduce the computation load, the alternating projection ML (AP-ML) algorithm is proposed by transforming the high-dimensional search into a series of one-dimensional search iteratively. With the proposed AP-ML algorithm, the angle and range are automatically paired. …”
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Impact of Digital Inclusive Finance on Rural High-Quality Development: Evidence from China by Le Sun, Congmou Zhu

“…Furthermore, systematic GMM and iterative GMM were used to solve the endogenous problem. …”
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scaDA: A novel statistical method for differential analysis of single-cell chromatin accessibility sequencing data. by Fengdi Zhao, Xin Ma, Bing Yao, Qing Lu, Li Chen

“…Benefiting from both dispersion shrinkage and iterative refinement of mean and prevalence parameter estimates, scaDA demonstrates its superiority to both ZINB-based likelihood ratio tests and published methods by achieving the highest power and best FDR control in a comprehensive simulation study. …”
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Advancing forest carbon projections requires improved convergence between ecological and economic models by Madisen R. Fuller, Manaswini Ganjam, Justin S. Baker, Robert C. Abt

“…We then describe an iterative approach that involves the sharing of methodology, perspectives, and data between the regimented model types. …”
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Prediction of cycle life of expansion bellows for fixed tube sheet heat exchanger by A. Chouiter, D. Benzerga, A. Haddi, T. Tamine

“…In a second step, a postprocessor based on the concept of Continuum Damage Mechanics and using Newton's iterative method will be applied to this critical area for the determination of the bellows critical lifetime. …”
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Developing an efficient algorithm for robust school bus routing with heterogeneous fleet by Mohamad Ali Movafaghpour

“…After the scenario generation algorithm is converged, the intersection of the feasible optimal solutions under diverse scenarios is extracted as robust sub-tours or robust trips.Originality/Value: It is the first time to apply the notions of robust optimization using the extreme scenarios generation scheme. At each iteration of the extreme scenario’s generation, the most conflicting scenario against a given optimum solution is generated. …”
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Fast reconstruction method for compressed sensing model with semi-tensor product by Jinming WANG, Shiping YE, Lizhe YU, Sen XU, Yanjun JIANG

“…To reduce the storage space of random measurement matrix and improve the reconstruction efficiency for compressed sensing (CS),a new sampling approach for CS with semi-tensor product (STP-CS) was proposed.The proposed approach generated a low dimensional random measurement matrix to sample the sparse signals.Then the solutions of the sparse vector were estimated group by group with a l_q-minimization (0＆lt;q＆lt;1) iteratively re-weighted least-squares (IRLS) algorithm.Compared with traditional compressed sensing methods,the proposed approach outperformed conventional CS in speed of reconstruction and that it also obtained comparable quality in the reconstruction.Numerical experiments were conducted using gray-scale images,the peak signal-to-noise ratio (PSNR) and the reconstruction time of the reconstruction images were compared with the random matrices with different dimensions.Comparisons were also conducted with other low storage techniques.Numerical experiment results show that the STP-CS can effectively reduce the storage space of the random measurement matrix to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML"> <mfrac> <mi>M</mi> <mi>t</mi> </mfrac> <mtext>×</mtext><mfrac> <mi>N</mi> <mi>t</mi> </mfrac> </math></inline-formula> and decrease tow orders of magnitude of time that for conventional CS,while maintaining the reconstruction quality.Numerical results also show that the reconstruction time can be effectively improved 260 for the image size of 1 024×1 024.…”
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Optimum Design of Braced Steel Space Frames including Soil-Structure Interaction via Teaching-Learning-Based Optimization and Harmony Search Algorithms by Ayse T. Daloglu, Musa Artar, Korhan Ozgan, Ali İ. Karakas

“…The parameters of the foundation model are calculated depending on soil surface displacements by using an iterative approach. The results obtained in the study show that bracing types and soil-structure interaction play very important roles in the optimum design of steel space frames. …”
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Retracted: Active Contour Image Segmentation Method for Training Talents of Computer Graphics and Image Processing Technology by Xinghuo Ye, Qianyi Wang

“…The experimental results of this article show that the active contour image segmentation algorithm can not only ensure the image segmentation algorithm but also reduce the number of iterations and shorten the image segmentation time. …”
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Design of Multijunction Photovoltaic Cells Optimized for Varied Atmospheric Conditions by C. Zhang, J. Gwamuri, R. Andrews, J. M. Pearce

“…The geographic microclimate spectrally resolved solar flux for twelve representative atmospheric conditions for the incident radiation angle (zenith angle) of 48.1° and fixed array angle of 40° is used to iteratively optimize the band gap for tandem, triple, and quad-layer of InGaN-based multijunction cells. …”
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