Automated guided vehicle (AGV) path optimization method based on improved rapidly-exploring random trees by Zhigang Ren, Anjiang Cai, Feilong Xu

“…In response to the issues of low computational efficiency, slow convergence speed, curvy paths, and the tendency to fall into local optima in rapidly-exploring random tree (RRT) algorithms for automated guided vehicle (AGV) path planning, this article proposes an improved RRT algorithm that combines adaptive step-size optimization with K-dimensional tree (KD-Tree) based fast nearest neighbor search. …”
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Bayesian optimization of hybrid quantum LSTM in a mixed model for precipitation forecasting by Yumin Dong, Huanxin Ding

“…However, the factors affecting precipitation are complex and nonlinear, and have spatiotemporal variability, making rainfall forecasting extremely challenging. In response to these challenges, this paper proposes a hybrid model based on temporal convolutional network, quantum long short-term memory network (QLSTM), and random forest regression (RFR) to achieve more accurate rainfall forecasting. …”
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Investigation of Ultrasound on Some Germination Factors of Iranian (Bunium persicum Boiss.) and its Optimization by ali hasani, Mohammad Hadi Khoshtaghaza, Mohammad-Taghi Ebadi

“…In this study, the effect of ultrasound on the germination and vigor index of Iranian black cumin (Bunium persicum Boiss.), was studied. Response surface methodologhy and central composite design were used ti analyze the data and optimize the experiment. …”
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Optimal Administrative Response to Selfish Behaviors in Urban Public Management: The Role of Zero-Determinant Strategies by Ai Zhong Shen, Xiang Gao, Xiao Ping Wang

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Optimal Equipment Configuration Method for Electric Vehicle Charging Stations Considering User Response Characteristics by Jun YAN, Yujie LUO, An YAN, Wei HE, Tao HAN, Jun YANG

“…Considering the strong randomness of users' charging behaviors, an optimal configuration method for EV charging stations based on user response characteristics is proposed. …”
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Cyber-Secure IoT and Machine Learning Framework for Optimal Emergency Ambulance Allocation by Jonghyuk Kim, Sewoong Hwang

“…Optimizing ambulance deployment is a critical task in emergency medical services (EMS), as it directly affects patient outcomes and system efficiency. …”
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Combining miRNA concentrations and optimized machine-learning techniques: An effort for the tomato storage quality assessment in the agriculture 4.0 framework by Seyed Mohammad Samadi, Keyvan Asefpour Vakilian, Seyed Mohamad Javidan

“…However, the RF, with hyperparameters optimized by the genetic algorithm, was able to improve the R2 values of the prediction of storage temperature and period to 0.96 and 0.89. …”
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Optimal exercise temporal parameters of Traditional Chinese Exercises for cognitive function of older adults with mild cognitive impairment: a systematic review and dose–response meta-analysis of randomized controlled trials by Qingpan Wen, Qin Luo, Yangjun Liu, Lu Li, Marcin Białas, Dominika Wilczyńska

“…Traditional Chinese Exercises (TCEs) have been proven effective for managing MCI. A dose–response meta-analysis was conducted to evaluate the correlation between exercise temporal parameters and their effectiveness in older adults with MCI.MethodsRandomized controlled trials (RCTs) on TCEs for MCI were searched across eight databases from their inception to September 2024. …”
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Optimal IIR filter design using Gravitational Search Algorithm with Wavelet Mutation by S.K. Saha, R. Kar, D. Mandal, S.P. Ghoshal

“…The position of the heaviest mass gives the near optimal solution. For better exploitation in multidimensional search spaces, the WM strategy is applied to randomly selected particles that enhance the capability of GSA for finding better near optimal solutions. …”
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Dynamic response force control of electrohydraulic servo actuator of active suspension based on intelligent optimization algorithm. by Qinghe Guo, Mengchao Wang, Renjun Liu, Yurong Chen, Shenghuai Wang, Hongxia Wang

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Data-driven power marketing strategy optimization and customer loyalty promotion by Bo Chen, Wei Cui

“…By applying LSTM, power companies can better predict customer responses, optimize marketing, improve service quality and enhance competitive position, providing a scalable solution for the evolving power sector.…”
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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

“…Additionally, the intricate energy exchange processes within HVAC systems present difficulties in developing accurate and generalizable energy consumption models. In response to these challenges, this paper proposes an Ant Lion Optimizer with Enhancements (ALOE) that can dynamically adjust the number of populations and the movement trend to improve the convergence speed and optimization ability, and randomly adjust the movement amplitude to enhance the local optimal escape ability. …”
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Identifying the Combined Impacts of Sensor Quantity and Location Distribution on Source Inversion Optimization by Shushuai Mao, Jianlei Lang, Feng Hu, Xiaoqi Wang, Kai Wang, Guiqin Zhang, Feiyong Chen, Tian Chen, Shuiyuan Cheng

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Multi objective optimization of FDM 3D printing parameters set via design of experiments and machine learning algorithms by Antonio Panico, Alberto Corvi, Luca Collini, Corrado Sciancalepore

“…Eventually, a Genetic Algorithm (NSGA-II) is integrated to estimate the optimal parameter set for multiple responses. Overall results indicate that the deposition strategy is the parameter affecting the most the overall mechanical response, with “Lines” pattern providing the best balanced results in maximizing the elastic modulus and the tensile strength, respectively 1381 MPa and 33.3 MPa. …”
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Novel load balancing mechanism for cloud networks using dilated and attention-based federated learning with Coati Optimization by Atul B. Kathole, Viomesh Kumar Singh, Ankur Goyal, Shiv Kant, Amit Sadanand Savyanavar, Swapnaja Amol Ubale, Prince Jain, Mohammad Tariqul Islam

“…The integration of the Random Opposition Coati Optimization Algorithm (RO-COA) enables flexible and efficient load distribution in response to real-time network changes. …”
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Exploring the effectiveness of adaptive randomized sine cosine algorithm in wind integrated scenario based power system optimization with FACTS devices by Sunilkumar P. Agrawal, Pradeep Jangir, Arpita, Sundaram B. Pandya, Anil Parmar, Ahmad O. Hourani, Bhargavi Indrajit Trivedi, Mohammad Khishe

“…In this study, the Adaptive Randomized Sine Cosine Algorithm (ARSCA) is introduced to solve the problem of optimal placement and settings of Flexible AC Transmission System (FACTS) devices—Thyristor-Controlled Series Capacitors (TCSC), Thyristor-Controlled Phase Shifters (TCPS), and Static VAR Compensators (SVC)—in the IEEE 30-bus test system. …”
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Unified optimization of intelligent home appliances with a cost-effective energy management system by Vikas Deep Juyal, Sandeep Kakran

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Random Finite Element Analysis and Random Factor response Mechanism for Geocell-reinforced Soil Retaining Walls by ZHANG Bingbing, SONG Fei

“…Correspondingly, the discretization of vertical settlement shows a similar reduction trend. The random field analysis method established in this study is able to capture the uncertainty of engineering behavior more comprehensively and provides a more reliable prediction tool for the design of reinforced soil structures, which helps to optimize the engineering safety reserve and reduce the risk associated with uncertainty.ConclusionsThe results show that: the random envelope range of horizontal displacement and vertical settlement of reinforced earth retaining wall decreases with the decrease of height of reinforced earth retaining wall (points H-1~H-5) and away from the retaining wall face (points V-1~V-7); the decrease of fluctuation range or coefficient of variation reduces the dispersion of the calculation results, in which the cumulative distribution probability of the parameter <italic>φ</italic>₀ is closer to the random distribution results, while the parameters <italic>n</italic> and <italic>P</italic>_Mt are with the deterministic results The effect of vertical fluctuation range on the failure probability is more significant than that of horizontal direction. …”
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Analytic Solutions for the Stationary Seismic Response of Three-Dimensional Structures with a Tuned Mass-Inerter Damper and Bracket by Lin Deng, Cong Yao, Xinguang Ge

Subjects: “…random seismic response…”
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Optimizing crop type mapping for fairness by Ilya Gorbunov, Caroline M. Gevaert, Mariana Belgiu

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