A Novel Method for Reducing Vehicle Emissions Utilizing IoT-Based IS-APCPSO Algorithm by Ke Huang, Jianjun Zhu

“…A two-level planning model on road traffic network optimization in IoT and the IS-APCPSO algorithm is deployed, which can effectively solve the above problems. …”
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A two‐stage algorithm for vehicle routing problem with charging relief in post‐disaster by Qixing Liu, Peng Xu, Yuhu Wu, Tielong Shen

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Onboard Trajectory Generation of Hypersonic Morphing Aircraft by Chenxin Zhang, Yankun Zhang, Changzhu Wei

“…Secondly, the optimization strategy was proposed via Gauss pseudospectral method considering the control variables including angle of attack (AOA) and wingspan. …”
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An Effective ABC-SVM Approach for Surface Roughness Prediction in Manufacturing Processes by Juan Lu, Xiaoping Liao, Steven Li, Haibin Ouyang, Kai Chen, Bing Huang

“…Experimental results indicate that the selected four evaluation indicators values that reflect prediction accuracy and adjustment time for ABC-SVM are better than DE-SVM, GA-SVM, and PSO-SVM except three indicator values of DE-SVM for AISI 1045 steel under the case that training set is enough to develop the prediction model. ABC algorithm has less control parameters, faster convergence speed, and stronger searching ability than DE, GA, and PSO algorithms for optimizing the internal parameters of SVM model. …”
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Solar Sail Transfers under Uncertainties: A Deep Reinforcement Learning Approach by Christian Bianchi, Lorenzo Niccolai, Giovanni Mengali

“…The study begins with a minimum-time interplanetary trajectory obtained using an indirect optimization technique in an unperturbed scenario, serving as the reference trajectory for the sail in the presence of model uncertainties. …”
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An Intelligent Inspection and Scheduling Algorithm for Integrated Pipe Gallery Based on Cloud Robot by ZHOU Xiwei, SHANG Xiao, SHANG Xinjuan, YAN Maode, WANG Fafa

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Machine Learning in the Design and Performance Prediction of Organic Framework Membranes: Methodologies, Applications, and Industrial Prospects by Tong Wu, Jiawei Zhang, Qinghao Yan, Jingxiang Wang, Hao Yang

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Quantum reinforcement learning in continuous action space by Shaojun Wu, Shan Jin, Dingding Wen, Donghong Han, Xiaoting Wang

“…Moreover, our approach facilitates single-shot quantum state generation: a one-time optimization produces a model that outputs the control sequence required to drive a fixed initial state to any desired target state. …”
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Research on timing method for single intersection in transportation Internet of things based on improved Webster algorithm by Lin MA, Fuyang CHEN, Bin JIANG

“…Aiming at the timing signal problem of single intersection,a timing method based on the improved Webster algorithm in transportation Internet of things was proposed by combining the micro level analysis method with the macro level analysis method.In order to optimize the saturation and signal control delay,the average delay model was established.The game model and the conflict model were established with non-signal control and signal control.And the conflict analysis was carried out to illustrate that the optimal signal timing could coordinate the conflicting traffic flow.Based on the improved Webster algorithm,the shortest time required for the motor vehicle to pass the single intersection was additionally considered and a three-step optimization method for timing method at single intersection was proposed to reduce the traffic delay to ensure that the vehicle could pass effectively.The simulation results illustrate the effectiveness of the proposed solution.…”
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Engineering Vibration Recognition Using CWT-VGG19 by Wei Huang, Jian Xu

“…Therefore, this study is of great significance for engineering vibration diagnosis, the front-end design of vibration control, and the analysis and optimization of control effectiveness.…”
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Dynamic Emergency Vehicle Path Planning and Traffic Evacuation Based on Salp Swarm Algorithm by X. H. Duan, J. X. Wu, Y. L. Xiong

“…In view of the rescue delay due to traffic congestion in the urban road network, this paper implemented real-time traffic control with congestion index constraints in emergency vehicle dispatching and proposed a two-stage optimization model and algorithm. …”
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Real-time torque distribution simulation of parallel hybrid vehicle engine by Jing Wang

“…Validation employed the Gamma Technologies Suite simulation platform and the Next Generation Simulation dataset, with benchmark comparisons against Equivalent Consumption Minimization Strategy, Fuzzy Logic Control, and Thermostat Strategy models.ResultsThe optimized Proximal Policy Optimization algorithm achieved 93.2% accuracy and 1.0% loss rate upon convergence, with an average feedback time of 32 milliseconds. …”
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Path planning algorithm for logistics autonomous vehicles at Cainiao stations based on multi-sensor data fusion. by Yan Chen

“…In view of the shortcomings of existing methods in multi-sensor data fusion and path optimization, this paper proposes a path planning model based on multi-sensor image fusion, named DynaFusion-Plan. …”
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Low-carbon economic dispatch considering P2G and load flexibility characteristic under carbon trading mechanism by SONG Xiaotong, LI Wenbo, ZHOU Jinghua, LIU Xinbo, SUN Yi

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Development of the design of mobile solar power plant by P. I. Savelov, Yu. E. Livshic

“…Optimization of the control unit layout was carried out according to the results of studying the thermal processes that occur during steady-state operation using the Flow Simulation SolidWorks research module. …”
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Research on SBMPC Algorithm for Path Planning of Rescue and Detection Robot by Lin-Lin Wang, Li-Xin Pan

“…Sampling-Based Model Predictive Control (SBMPC) algorithm is proposed basing on the construction of cost function and predictive kinematics model. …”
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Tactical Coordination-Based Decision Making for Unmanned Combat Aerial Vehicles Maneuvering in Within-Visual-Range Air Combat by Yidong Liu, Dali Ding, Mulai Tan, Yuequn Luo, Ning Li, Huan Zhou

“…First, a coordinated situation assessment model is designed, which subdivides the air combat situation into optimization-driven and tactical coordinated situations. …”
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Improving Freight Traffic Efficiency at Urban Intersections Using Heavy Vehicle Platooning by Mohammad D. Alahmadi, Ahmed S. Alzahrani

“…The increasing presence of heavy connected vehicles (HCVs) in urban traffic necessitates optimized signal-control strategies to improve efficiency. …”
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Estimation of Cement Asphalt Mortar Disengagement Degree Using Vehicle Dynamic Response by Hui Shi, Liqiang Zhu, Hongmei Shi, Zujun Yu

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Coordinated Restoration of Microgrids and Generation Units for Resilience Enhancement of Urban Power Grids by Xinrui Wang, Yuze Ji, Ruimin Tian, Helong Liu

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