Optimization of emergency material distribution routes in flood disaster with truck‐speedboat‐drone coordination by Ying Gong, Weili Wang, Yufeng Zhou, Jiahao Cheng

“…To solve this optimization problem, we introduce an improved adaptive large neighborhood search (IALNS) algorithm, which builds on the traditional ALNS framework through refined tuning of deletion and insertion operators. …”
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PARAMETER OPTIMIZATION OF JC CONSTITUTIVE MODEL OF AL7050 ALLOY BASED ON OXLEY’S THEORY by WANG Yun, ZHANG ChangMing, ZHANG Yu

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A Vehicle Trajectory Planning Method for Narrow Corridor in Mines Based on Optimal Control by LIN Xuerong, XIE Heping, XU Biao, YUAN Shijie, BIAN Yougang, HU Manjiang, QIN Zhaobo, HU Jiaxi

“…Due to the strictly restricted free area, vehicles have difficulties to pass through mine narrow corridors. To solve this problem, this paper presents a trajectory planning method based on optimal control. …”
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Design of Chili Field Navigation System Based on Multi-Sensor and Optimized TEB Algorithm by Weikang Han, Qihang Gu, Huaning Gu, Rui Xia, Yuan Gao, Zhenbao Zhou, Kangya Luo, Xipeng Fang, Yali Zhang

“…The system’s positioning component integrates pose data from the GNSS and the IMU inertial navigation system, and corrects positioning errors caused by the clutter of LiDAR environmental feature points. To solve the problem of local optimization and excessive collision handling in the TEB algorithm during the path planning phase, the weight parameters are optimized based on environmental characteristics, thereby reducing errors in optimal path determination. …”
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Identification and resolution of drug-related problems in the cardiovascular surgery unit of a tertiary hospital in China: a retrospective study by Bo-Xia Li, Si-Ming Guo, Yan-Ping Wang, Ke-Xin Zhong, Yu-Hui Wei

“…Abstract Objective The prevalence and characteristics of drug-related problems (DRPs) in the cardiovascular surgery unit have not been adequately explored, leaving a gap in our understanding of this critical issue. …”
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CycRank: a universal optimization framework for vital nodes identification in complex networks by Wenfeng Shi, Tianlong Fan, Shuqi Xu, Rongmei Yang, Linyuan Lü

“…Identifying influential nodes to maximize the spread of information within networks is a vital combinatorial optimization problem with extensive practical applications. …”
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Investigation of an Optimized Linear Regression Model with Nonlinear Error Compensation for Tool Wear Prediction by Lihua Shen, Baorui Du, He Fan, Hailong Yang

“…Compared to traditional random forest and neural network models, the MSE and MAE show average reductions of 32.3% and 25.3%. By combining linear modeling with nonlinear error compensation, this method provides an integrated optimization approach to prediction tasks in complex industrial scenarios.…”
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Optimal Control and Cost-Effectiveness Analysis in An Epidemic Model with Viral Mutation and Vaccine Intervention by Yudi Ari Adi, Nursyiva Irsalinda, Meksianis Z Ndii

“…This paper introduces an optimal control problem in a two-strain SIR epidemic model with viral mutation and vaccine administration. …”
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Positioning optimization method based on indoor map deduction and signal through-wall correction by Dayang SUN, Wenxiao SHI, Dingguo ZHANG

“…An optimization method of through-wall corrected positioning based on mixed measurements of through-wall ranging and LoS ranging was proposed to solve the problem caused by NLoS measurement error.An approximate model of through-wall measurements was first proposed aiming at the typical through-wall NLoS scenario, which made indoor positioning method independent to the factors of the signal incident angle, the structure, the dielectric constant and the thickness of the wall.Then with the help of map deduction, whether there was a wall between the to-be-located node and the anchor node could be judged, and the positioning optimization method was proposed so that localization can be solved with only the redundant measurements.Simulations and UWB experiments show that in a variable map scenario considering through-wall propagation the proposed method outperforms SR-WLS (squared-range and weighted least square) in the aspect of average accuracy of indoor positioning.…”
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Positioning optimization method based on indoor map deduction and signal through-wall correction by Dayang SUN, Wenxiao SHI, Dingguo ZHANG

“…An optimization method of through-wall corrected positioning based on mixed measurements of through-wall ranging and LoS ranging was proposed to solve the problem caused by NLoS measurement error.An approximate model of through-wall measurements was first proposed aiming at the typical through-wall NLoS scenario, which made indoor positioning method independent to the factors of the signal incident angle, the structure, the dielectric constant and the thickness of the wall.Then with the help of map deduction, whether there was a wall between the to-be-located node and the anchor node could be judged, and the positioning optimization method was proposed so that localization can be solved with only the redundant measurements.Simulations and UWB experiments show that in a variable map scenario considering through-wall propagation the proposed method outperforms SR-WLS (squared-range and weighted least square) in the aspect of average accuracy of indoor positioning.…”
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An Experimental Study of Strategies to Control Diversity in Grouping Mutation Operators: An Improvement to the Adaptive Mutation Operator for the GGA-CGT for the Bin Packing Proble... by Stephanie Amador-Larrea, Marcela Quiroz-Castellanos, Octavio Ramos-Figueroa

“…Grouping Genetic Algorithms (GGAs) are among the most outstanding methods for solving NP-hard combinatorial optimization problems by efficiently grouping sets of items. …”
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Deep Learning Strategies for Intraday Optimal Carbon Options Trading with Price Impact Considerations by Qianhui Lai, Qiang Yang

“…This paper solves the optimal trading problem of carbon options with a deep learning approach. …”
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Optimization of dynamic parameters of straddle monorail vehicle to improve pantograph-catenary contact quality by ZHANG Yuejun, YANG Zhen, DU Zixue, WEN Xiaoxia, XU Zhouzhou

“…The results show that the rigidness of the running tires and the guide tires has a great influence on the pantograph-catenary contact quality , and the standard deviation of the contact force decreases to a certain degree at different speed after parameter optimization. The abrasion problem of pantograph sliding block of straddle monorail vehicle can be improved by optimizing the radial rigidness of tires.…”
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Algorithms for planning working time under interval uncertainty by Yu. N. Sotskov, N. G. Egorova, N. M. Matsveichuk

“…It is shown how scheduling theory may be used for optimal planning in time-management. The problem of minimizing the total (average) weighted completion time of the planned jobs by an employee is considered provided that only lower and upper bounds of the possible processing time of each job are known before scheduling. …”
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Metamodel-Based Optimization Method for Traffic Network Signal Design under Stochastic Demand by Wei Huang, Xuanyu Zhang, Haofan Cheng, Jiemin Xie

“…Traffic network design problems (NDPs) play an important role in urban planning. …”
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Dynamic niche technology based hybrid breeding optimization algorithm for multimodal feature selection by Ting Cai, Fan Ma, Zhiwei Ye, Wen Zhou, Mingwei Wang, Qiyi He, Hu Pan, Jun Shen

“…Abstract As a primary approach to address feature selection problems, evolutionary algorithms have been widely proposed to deal with the problem. …”
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Multi-objective optimization of dual-stator permanent magnet motor based on composite algorithm by Xiaoguang Kong, Zhuo Yang

“…In this paper, taking a dual-stator permanent magnet motor as an example, the multi-variable combination scanning (MVCS) method is proposed to optimize the outside air-gap length and the slot width of the external unit motor to effectively weaken the cogging torque for the problem of large cogging torque. …”
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Speed and Path Planning Optimization of Autonomous Vehicle to Minimize Lap Time in Racing Track by Young-Jin Roh, Ji-Ung Im, Jong-Hoon Won

“…The optimization problem was formulated to minimize both path curvature and lap time, balancing these factors to determine the optimal trajectory. …”
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Vision-Based Detection, Localization, and Optimized Path Planning for Rebar Intersections in Automated Construction by Chengxiang Li, Weimin Zhang, Fangxing Li, Meijun Guo, Shicheng Fan

“…To achieve comprehensive site coverage and optimize operational efficiency, the path planning challenge is reformulated as a sequencing optimization problem of the identified intersections. …”
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Minimizing System Entropy: A Dual-Phase Optimization Approach for EV Charging Scheduling by Wenpeng Yuan, Lin Guan

“…To address the electric vehicle (EV) charging scheduling problem in rural distribution networks, this study proposes a novel two-phase optimization strategy that combines particle swarm optimization (PSO) and Q-learning for global optimization and real-time adaptation. …”
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