Fast Task Scheduling With Model Predictive Control Integrating a Priority-Based Heuristic by Francesco Liberati, Manuel Donsante, Chiara Maria Francesca Cirino, Andrea Tortorelli

“…This paper presents a scalable Model Predictive Control (MPC) algorithm for task scheduling and real time re-scheduling. …”
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Prediction of COVID-19 Pandemic in Bangladesh: Dual Application of Susceptible-Infective-Recovered (SIR) and Machine Learning Approach by Iqramul Haq, Md. Ismail Hossain, Ahmed Abdus Saleh Saleheen, Md. Iqbal Hossain Nayan, Mafruha Sultana Mila

“…Here we compare the results of the optimized SIR model and a well-known machine learning algorithm (PROPHET algorithm) for the forecasting trend of the COVID-19 pandemic. …”
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Analysis of Intelligent Transportation System Application Based on Internet of Things and Big Data Technology under the Background of Information Society by Di Wang, Weijing Xu, Xuesong Jia

“…The advantages and disadvantages of genetic algorithm and heuristic algorithm are analyzed, and ant colony algorithm is used for further optimization. …”
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Multiple Unmanned Aerial Vehicle Collaborative Target Search by DRL: A DQN-Based Multi-Agent Partially Observable Method by Heng Xu, Dayong Zhu

“…Based on this, Partially Observable Deep Q-Network (PODQN), which is a DQN-based algorithm is proposed. The PODQN algorithm utilizes the Gated Recurrent Unit (GRU) to remember the past observation information. …”
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Integrated Multiscale Latent Variable Regression and Application to Distillation Columns by Muddu Madakyaru, Mohamed N. Nounou, Hazem N. Nounou

“…All examples clearly demonstrate the effectiveness of the IMSLVR algorithm over the conventional methods.…”
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Revisiting a Cutting-Plane Method for Perfect Matchings by Chen, Amber Q., Cheung, Kevin K. H., Kielstra, P. Michael, Winn, Avery D.

“…We then give an explicit algorithm that exploits our method, and show that this new algorithm still runs in strongly polynomial time.…”
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Link-Based Signalized Arterial Progression Optimization with Practical Travel Speed by Wu Xianyu, Hu Peifeng, Yuan Zhenzhou

“…The link bandwidth optimization is built based on the improvement of Messer’s algorithm about bandwidth optimization. The arterial bandwidth optimization algorithm takes into consideration the weighted link bandwidth attainability while selecting phase sequences. …”
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Pareto-Optimization of HTS CICC for High-Current Applications in Self-Field by Giordano Tomassetti, Gianluca de Marzi, Giuseppe Celentano, Francesco Rizzo, Andrea Augieri, Antonio della Corte

“…Since the optimization process involved both integer and real geometrical variables, the choice of an evolutionary search algorithm was strictly necessary. The use of an evolutionary algorithm in the frame of a multiple objective optimization made it an obliged choice to numerically approach the problem using a nonstandard fast-converging optimization algorithm. …”
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2D-DOA Estimation for EMVS Array with Nonuniform Noise by Chang-Xin Cai, Guan-Jun Huang, Fang-Qing Wen, Xin-Hai Wang, Lin Wang

“…It is well known that existing subspace algorithm cannot directly be applied to a nonuniform noise scenario. …”
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Strong barrier coverage of directional sensor networks with mobile sensors by Lu Zhao, Guangwei Bai, Hang Shen, Zhenmin Tang

“…And in comparison with the energy-efficient barrier coverage algorithm (previous works), the energy-efficient barrier repair algorithm increases by 18% of network lifetime on average.…”
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Hierarchical Multiobjective Dispatching Strategy for the Microgrid System Using Modified MOEA/D by Xiaofeng Wan, Hai Lian, Xiaohua Ding, Jin Peng, Yining Wu

“…Furthermore, the study presents a modified MOEA/D algorithm to solve the hierarchical scheduling problem. …”
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A Novel MOEA/D for Multiobjective Scheduling of Flexible Manufacturing Systems by Xinnian Wang, Keyi Xing, Chao-Bo Yan, Mengchu Zhou

“…A type of a discrete differential evolution (DDE) algorithm is also developed for solving each subproblem. …”
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Modeling and Optimization of Multiaction Dynamic Dispatching Problem for Shared Autonomous Electric Vehicles by Ning Wang, Jiahui Guo

“…After that, the Kuhn–Munkres algorithm is set as the baseline method to solve the first model to achieve optimal multiaction allocation instructions for SAEVs, and the combination of deep Q-learning algorithm and Kuhn–Munkres algorithm is designed to solve the second model to realize the global optimization. …”
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A Convection Nowcasting Method Based on Machine Learning by Aifang Su, Han Li, Liman Cui, Yungang Chen

“…Based on learning through the above features, this algorithm can forecast the generation and dissipation trends of convective cells to some extent. …”
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Using Smart Card Data Trimmed by Train Schedule to Analyze Metro Passenger Route Choice with Synchronous Clustering by Wei Li, Qin Luo, Qing Cai, Xiongfei Zhang

“…Finally, a case study was conducted to illustrate the effectiveness of the proposed algorithm. Results showed the proposed algorithm works well to analyze metro passenger route choice. …”
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Balancing Long Lifetime and Satisfying Fairness in WBAN Using a Constrained Markov Decision Process by Yingqi Yin, Fengye Hu, Ling Cen, Yu Du, Lu Wang

“…Due to the defect of large implementation overhead in acquiring global channel state information (CSI), we put forward a distributed scheduling algorithm that adopts local CSI, which saves the network overhead and simplifies the algorithm. …”
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Energy-Efficient Route Planning Method for Ships Based on Level Set by Jiejian Zhu, Haiqing Shen, Qiangrong Tang, Zhong Qin, Yalei Yu

“…To reduce the fuel consumption of ships’ oceanic voyages, this study incorporates the influence of ocean currents into the traditional level set algorithm and proposes a route planning algorithm capable of identifying energy-efficient routes in complex and variable sea conditions. …”
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Motion Trajectory Planning and Design of Material Spraying Service Robot by Gang Wang, Hongyuan Wen, Jun Feng, Jun Zhou

“…In view of this, this paper proposes an algorithm for modeling kinematics using a joint screw and optimizes the modeling algorithm using particle swarm optimization. …”
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Novel Distance Measures for Single-Valued Neutrosophic Fuzzy Sets and Their Applications to Multicriteria Group Decision-Making Problem by Yun Jin, Muhammad Kamran, Nadeem Salamat, Shouzhen Zeng, Riaz Hussain Khan

“…We also proposed an algorithm for multicriteria group decision-making. …”
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Artificial Potential Field-Based Multi-UAV Formation Control and Target Tracking by He Song, Shaolin Hu, Wenqiang Jiang, Qiliang Guo, Ming Zhu

“…Finally, the numerical simulation is conducted for the proposed algorithm, and the simulation result is analysed. The results show that the proposed algorithm can quickly achieve the formation flight and target tracking of multi-UAVs and improve the tracking performance; meanwhile, it can effectively weaken the rotation buffeting and improve the robustness.…”
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