Bionic search for transportation problem solution on the basis of adaptation strategy by Yury Olegovich Chernyshev, Anna Yuryevna Poluyan, Pavel Alexandrovich Panasenko, Denis Yuryevich Paskevich

“…This is, primarily, due to the fact that this problem is NP-complete, and to develop a universal algorithm for finding an exact optimal solution during a reasonable time is difficult. …”
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Approximation of Solutions of Split Monotone Variational Inclusion Problems and Fixed Point Problems by Francis O. Nwawuru

“…Many researchers have incorporated an inertial term and will continue to involve it in iterative algorithms due to the fact that it speeds up the rate of convergence which is desirable in applications. …”
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IRSnet: An Implicit Residual Solver and Its Unfolding Neural Network With 0.003M Parameters for Total Variation Models by Yuanhao Gong

“…To address these issues, this paper first introduces a novel iterative algorithm that is 6 ~ 75 times faster than previous iterative methods. …”
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TOMOGRAPHIC MAMMOGRAPHY AND TOMOSYNTHESIS USING OPENGL by S. A. Zolotarev, M. A. Mirzavand

“…The paper deals with the parallel iterative algorithms to ensure the reconstruction of threedimensional images of the breast, recovered from a limited set of noisy X-ray projections. …”
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DEVELOPMENT OF A SOFTWARE PACKAGE FOR CONDUCTING COMPUTATIONAL EXPERIMENTS ON NUMERICAL MODELING OF THE "FLOW TUBE – LIQUID" SYSTEM OF A CORIOLIS FLOW METER by E.A. Gudkova

“…A computational algorithm based on linear interpolation and an algorithm that automates the processing of data arrays and the calculation of average time and phase delays have been implemented. …”

Inverse Modeling for Subsurface Flow Based on Deep Learning Surrogates and Active Learning Strategies by Nanzhe Wang, Haibin Chang, Dongxiao Zhang

“…The retrained surrogate is further integrated with the iterative ensemble smoother (IES) algorithm for inversion. …”
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High Throughput Receiver Structure for Underwater Communication by Chang-Uk Baek, Ji-Won Jung

“…To satisfy performance and throughput requirements, we propose a consecutive iterative BCJR equalization scheme. To achieve a low error performance, we resort to the powerful BCJR equalization algorithms to iteratively update probabilistic information between inner decoder and outer decoder. …”
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Synthesis of evasive maneuver control of unmanned aerial vehicle for terminal restrictions by N. Y. Polovinchuk, S. V. Ivanov, L. I. Kotelnitskaya

“…This is achieved through the iterative procedures of regular recalculation of terminal conditions that are equivalent to the periodic circuit feedback. …”
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Application of Improved WOA in Hammerstein Parameter Resolution Problems under Advanced Mathematical Theory by Lu Zhao, Jiangjun Liu, Yuan Li

“…With the development of industrial demand, precise identification of system models is currently required in the field of industrial control, which limits the whale search algorithm. In response to the fact that whale optimization algorithms are prone to falling into local optima and the identification of important Hammerstein models ignores the issue of noise outliers in actual industrial environments, this study improves the whale algorithm and constructs a Hammerstein model identification strategy for nonlinear systems under heavy-tailed noise using the improved whale algorithm. …”
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Constrained Fuzzy Predictive Control Using Particle Swarm Optimization by Oussama Ait Sahed, Kamel Kara, Mohamed Laid Hadjili

“…This can be achieved using reduced population size and small number of iterations. In this algorithm, instead of using the uniform distribution as in the conventional PSO algorithm, the initial particles positions are distributed according to the normal distribution law, within the area around the best position. …”
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In-Memory Versus Disk-Based Computing with Random Forest for Stock Analysis: A Comparative Study by Chitra Joshi, Chitrakant Banchorr, Omkaresh Kulkarni, Kirti Wanjale

“…As opposed to this, the MapReduce approach had higher latency and lower accuracy, reflecting its disk-based constraints and reduced efficiency for iterative machine learning tasks.Conclusion: The conclusion supports the fact that Spark is the better option for complex machine learning tasks such as stock price prediction, as it is good for handling large amounts of data. …”
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Minimizing the Makespan for a Two-Stage Three-Machine Assembly Flow Shop Problem with the Sum-of-Processing-Time Based Learning Effect by Win-Chin Lin

“…A cloud theory-based simulated annealing (CSA) algorithm and an iterated greedy (IG) algorithm with four different local search methods are used to find near-optimal solutions for small and large number of jobs. …”
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Expectation-Maximization Aided Modified Weighted Sequential Energy Detector for Distributed Cooperative Spectrum Sensing by Mohammed Rashid, Jeffrey A. Nanzer

“…In practice, since the PU states are a priori unknown, we also develop a joint expectation-maximization and Viterbi (EM-Viterbi) algorithm based scheme to iteratively estimate the states by using the ED samples collected over the window. …”
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An Optimization Mechanism Intended for Static Power Reduction Using Dual-𝑉thTechnique by Rodolfo P. Santos, Gabriela S. Clemente, Abel Silva-Filho, Cristiano Araújo, Adriano Sarmento, Manoel Lima, Edna Barros

“…The decision to replace a cell is based on timing estimates of the circuit modeling with the cell replacement, before it is actually replaced. The fact that only some cells are replaced every iteration results in a reduction of the runtime of the algorithm. …”
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Real-Time Speech Extraction Based on Rank-Constrained Spatial Covariance Matrix Estimation and Spatially Regularized Independent Low-Rank Matrix Analysis With Fast Demixing Matrix... by Yuto Ishikawa, Tomohiko Nakamura, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo

“…For further acceleration and numerical stabilization, we derive new algorithms for vectorwise coordinate descent (VCD) and iterative projection (IP). …”
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Beamforming for the Cooperative Non-Orthogonal Multiple Access Transmission with Full-Duplex Relaying with Application to Security Attack by Duckdong Hwang, Sung Sik Nam, Janghoon Yang, Hyoung-Kyu Song

“…The first proposed sub-optimal optimization algorithm for the beamformer relies on the quadratically constrained quadratic problem (QCQP) in its central part, and this OCQP is iteratively applied with different interference level values at the near CNOMA user as the constraint term until some conditions for the design objectives are met. …”
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Corporate Real Estate alignment by Monique Arkesteijn

“…In the first pilot, the algorithm (step 5b) was not able to generate a local optimum because a subset of the alternatives was infeasible. …”
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