The joint policy of production, maintenance, and product quality in a multi-machine production system by reinforcement learning and agent-based modeling by Mohammad Reza Nazabadi, Seyed Najafi, Ali Mohaghar, Farzad Movahedi Sobhani

Subjects: “…agent-based modeling…”
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Research on Collaborative Optimization Strategy of Railway Signal Nonlinear Control System Based on BBO Algorithm and Multi-objective Optimization by Xue Li, Yixuan Yang, Zheng Li, Hui He

“…The research constructs a mathematical model with multiple objective constraints, accurately identifies the adaptation shortcomings of the existing system in dynamic scenarios, and then employs a Biogeography-Based Optimization (BBO) algorithm for global optimization of control parameters. …”
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Optimizing decentralized implementation of state estimation in active distribution networks by Mohammad Gholami, Aref Eskandari, Sajjad Fattaheian‐Dehkordi, Matti Lehtonen

“…Subsequently, performance metrics affected by zone sizes, such as execution time, accuracy of the DSSE results, and reliability in achieving the results at the control centre, are modelled. Finally, by applying the decentralized DSSE method across all partitioning scenarios and calculating performance metrics, the most efficient and cost‐effective partitioning scenario can be identified. …”
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MODEL OF THE CONTROL AND TEST STATION WITH THE GIVEN CHARACTERISTICS by Yurii B. Pribyliev

“…It was suggested to find the optimal design solutions of the control and test station by sequential refinement of the model by one of criterions, and other criteria as limitations.…”
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Presenting two new methods for solving linear interval optimal control problems using the resilience approach of control signal by Elnaz Hosseini, Mehdi Allahdadi, Samaneh Soradi-Zeid

“…By considering the variation limits for the control signal, the optimal solution of the main problem is obtained.Methodology: In this research, two methods are presented to solve the deterministic sub-models of linear interval optimal control problems and find a good approximation for the optimal solution of them. …”
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An Efficient Approach for Modeling and Control of a Quadrotor by Ahmed S. Khusheef

“…Such system must enable the quadrotor to reach the desired attitude as fast as possible without any steady state error. In this paper, an optimal controller is designed based on a Proportional Integral Derivative (PID) control method to obtain stability in flying the quadrotor. …”
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Editorial: Modelling and numerical simulations with differential equations in mathematical biology, medicine and the environment, volume II by Appanah R. Appadu, Ramoshweu S. Lebelo, Hagos H. Gidey, Hagos H. Gidey, Sourav Das

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Optimizing voltage control in AC microgrid systems with fuzzy logic strategies and performance assessment by S. Adiche, M. Larbi, D. Toumi

“…By employing advanced control strategies like FLC, the purpose of this research aims to contribute to the optimization and reliability of AC MG systems through the improvement of voltage control, which leads to guaranteed equitable power-sharing. …”
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A novel approximation of underwater robotic vehicle controller exploiting multi-point matching by Umesh Kumar Yadav, V. P. Singh, Luigi Fortuna, Umesh Kumar Sahu

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Fractional-Order System Identification: Efficient Reduced-Order Modeling with Particle Swarm Optimization and AI-Based Algorithms for Edge Computing Applications by Ignacio Fidalgo Astorquia, Nerea Gómez-Larrakoetxea, Juan J. Gude, Iker Pastor

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Optimization of two-stage methanogenesis regime based on the Pontryagin’s maximum principle *** by S. A. Korolev, D. V. Maykov

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Guidelines for optimized gene knockout using CRISPR/Cas9 by Claude Van Campenhout, Pauline Cabochette, Anne-Clémence Veillard, Miklos Laczik, Agnieszka Zelisko-Schmidt, Céline Sabatel, Maxime Dhainaut, Benoit Vanhollebeke, Cyril Gueydan, Véronique Kruys

“…Different methods can also be used to detect off-target cleavages and decrease the risk of unwanted mutations. Together, these optimized tools and proper controls are essential to the assessment of CRISPR/Cas9 genome-editing experiments.…”
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Energy-Saving Optimization of HVAC Systems Using an Ant Lion Optimizer with Enhancements by Bin Hu, Yuhu Guo, Wenjun Huang, Jianxiang Jin, Mingxuan Zou, Zhikun Zhu

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Qualitative assessment of sex-stratified human papillomavirus transmission dynamics in South Korea by Soyoung Kim, Olive R. Cawiding, Aurelio A. de los Reyes V, Sunhwa Choi

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A Distributed Model Predictive Control for Multiple Mobile Robots with the Model Uncertainty by Wei Shang, Hanzong Zhu, Yurong Pan, Xiuhong Li, Daode Zhang

“…In this paper, a distributed predictive control with the model uncertainty which uses the data-driven strategy and robust theory (data-driven RDMPC) is proposed for the formation control of multiple mobile robots. …”
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Optimization of parameters of the reference frequency source with a composite resonator-thermostat by I. V. Khomenko, A. V. Kosykh, E. Yu. Kompanеts

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Editorial: Modeling ecological and epidemiological interactions for sustainable practices by Nossaiba Baba, Sayooj Aby Jose, Imane Agmour, Asmaa Idmbarek

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CNN-LSTM Model Optimized by Bayesian Optimization for Predicting Single-Well Production in Water Flooding Reservoir by Lei Zhang, Hongen Dou, Kun Zhang, Ruijie Huang, Xia Lin, Shuhong Wu, Rui Zhang, Chenjun Zhang, Shaojing Zheng

“…This study is considering more than 60 dynamic and static factors that affect the changes of oil well production, introduce water injection parameters into data set, select 11 main control factors, and then, build a CNN-LSTM model optimized by Bayesian optimization. …”
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An Optimization Method for Multi-Robot Automatic Welding Control Based on Particle Swarm Genetic Algorithm by Lu Chen, Jie Tan, Tianci Wu, Zengxin Tan, Guobo Yuan, Yuhao Yang, Chiang Liu, Haoyu Zhou, Weisi Xie, Yue Xiu, Gun Li

“…This paper introduces an optimization method for multi-robot automated control welding based on a Particle Swarm Genetic Algorithm (PSGA), aiming to address issues such as high costs, large footprint, and excessive production cycles in multi-robot welding production lines. …”
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Data fitting and optimal control strategies for HBV acute patient cases in the United States by Xuebing Chen, Yong Li, Nurbek Azimaqin, Yan Wu, Changlei Tan, Xuyue Duan, Yiyi Yuan

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