Rolling Force Prediction in Heavy Plate Rolling Based on Uniform Differential Neural Network by Fei Zhang, Yuntao Zhao, Jian Shao

“…When its original function is transferred with a transfer function, the uniform differential evolution algorithms can quickly solve complex optimization problems. Neural network structure and weights threshold are optimized by uniform differential evolution algorithm, and a uniform differential neural network is formed to improve rolling force prediction accuracy in process control system.…”
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The Effect of Regret-Based Risky Route Choice on the Traffic Equilibrium for Emergency Evacuation by Ze Wang, Haiqiang Yang, Linglin Ni

“…The equilibrium tends to be achieved when more evacuees choose the safer route jointly affected by risk aversion and regret aversion. Moreover, an optimization model for disaster occurring possibility is formulated to assess the traffic system performance for evacuation management. …”
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Effects of Focus Geometry on the Hard Rock-Cutting Performance of an Abrasive Waterjet by Yohan Cha, Tae-Min Oh, Gye-Chun Cho

“…It is expected that the results of this study can be employed for the optimization of waterjet rock cutting.…”
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A study on rolling bearing fault diagnosis using RIME-VMD by Zhenrong Ma, Ying Zhang

“…Simulation results indicate that, compared to the Whale Optimization Algorithm optimized VMD (WOA-VMD), the RIME algorithm optimized VMD (RIME-VMD) achieves shorter search times and higher search efficiency. …”
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Modeling Multilevel Supplier Selection Problem Based on Weighted-Directed Network and Its Solution by Chia-Te Wei, Hong Zuo, Chang-Bing Jiang, Shu-fang Li

“…This paper studies the partner selection problem from the perspective of supplier network global optimization. Firstly, this paper discusses and forms the evaluation system to estimate the supplier from the two indicators of risk and greenness and then applies the value as the weight of the network between two nodes to build a weighted-directed supplier network; secondly, the study establishes the optimal combination model of supplier selection based on the global network perspective and solves the model by the dynamic programming-tabu search algorithm and the improved ant colony algorithm, respectively; finally, different scale simulation examples are given to testify the efficiency of the two algorithms. …”
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Adaptive Hybrid Control of Vehicle Semiactive Suspension Based on Road Profile Estimation by Yechen Qin, Mingming Dong, Reza Langari, Liang Gu, Jifu Guan

“…To achieve this, analytical expressions for ride comfort, road handling, and rattle space with respect to road input are derived based on the hybrid control, and the problem is transformed into a MOOP (Multiobjective Optimization Problem) and has been solved by NSGA-II (Nondominated Sorting Genetic Algorithm-II). …”
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Vehicle-routing problem for low-carbon cold chain logistics based on the idea of cost–benefit by Yan Liu, Fengming Tao, Rui Zhu

“…Therefore, based on the idea of cost–benefit, a comprehensive vehicle routing problem optimization model with the objective function of minimizing the cost of unit satisfied customer is presented. …”
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On the Efficient Broadcasting of Heterogeneous Services over Band-Limited Channels: Unequal Power Allocation for Wavelet Packet Division Multiplexing by Maurizio Murroni

“…The mean square error (MSE) between the original and the decoded message, 𝜓which has a strong correlation with subjective perception, is used as an optimization criterion.…”
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Robust Maximum Lifetime Routing and Energy Allocation in Wireless Sensor Networks by Ioannis Ch. Paschalidis, Ruomin Wu

“…We consider the maximum lifetime routing problem in wireless sensor networks in two settings: (a) when nodes’ initial energy is given and (b) when it is subject to optimization. The optimal solution and objective value provide optimal flows and the corresponding predicted lifetime, respectively. …”
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Implementasi Pendistribusian Wakaf Tunai Sebagai Penunjang Usaha Kecil Menengah di Badan Wakaf Uang & Badan Wakaf Tunai MUI Yogyakarta by Khurun'in Zahro', Mulyono Jamal, Jarman Arroisi, Nia Puji Agustin

“…Population growth below the poverty line is not due to the problem of natural wealth that is not balanced with the population, but is caused by problems of income distribution and unfair economic access. Optimization of Islamic financial resources can be applied to reduce poverty levels. …”
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Steel-Concrete Composite Bridges: Design, Life Cycle Assessment, Maintenance, and Decision-Making by D. Martínez-Muñoz, J. V. Martí, V. Yepes

“…In this review, we report the research carried out on the design, behavior, optimization, construction processes, maintenance, impact assessment, and decision-making techniques of composite bridges in order to arrive at a complete design approach. …”
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Exercise Behavior Prediction and Injury Assessment Based on Swarm Intelligence Algorithm by Ding Ding, Jianqiong Jiang, Changya Liu

“…We should choose an efficient algorithm with high stability, high convergence speed, and optimization ability. In this paper, the IPSGWO algorithm is proposed to realize this application. …”
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Parameter Design of Half-Bridge Converter Series Y-Connection Microgrid Grid-Connected Filter Based on Improved PSO-LSSVM by Xinggui Wang, Jinjian Li, Qun Guo, Hailiang Wang, Yingjie Ding

“…In order to reduce the harmonic content in HCSY-MG grid-connected current and at the same time simplify the parameter design process of the LCL filter, this study proposed an LCL filter parameter design method based on an improved particle swarm optimization-least squares support vector machine (PSO-LSSVM) by analyzing the harmonic characteristics of the HCSY-MG grid-connected current. …”
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Distributed beamforming algorithm based on game theory in device-to-device communications by Xian-zhong Xie, Chuan-wen Li, Shuang-guo Cheng, He-lin Yang, Shu Tang

“…In the device-to-device communication network, there is the interference problem when device-to-device users share the same spectrum with cellular users, a distributed beamforming scheme based on non-cooperative game is proposed to maximize weighted sum rate under the rated transmit power and the users’ quality of service. Since the optimization problem is non-concave, we first obtain the solution of the Karush-Kuhn-Tucher (KKT) condition for the downlink beamforming problem of each sender by dual decomposition. …”
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Research on PTC Auxiliary Heating Starting Strategy Based on One-dimensional Multiphase Cold Start Stack Model by Shaofang LIN, Jianbin SU, Lei SHI

“…This research provides optimized strategies for the application of fuel cells in cold environments.…”
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The Energy-Efficient Dynamic Route Planning for Electric Vehicles by Wenjuan Zhou, Li Wang

“…A multiobjective 0-1 integer programming model is formulated to find the optimal routes. Two methods are presented to transform the multiobjective optimization problem into a single objective problem. …”
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New PSO-SVM Short-Term Wind Power Forecasting Algorithm Based on the CEEMDAN Model by Hong You, Shixiong Bai, Rui Wang, Zhixiong Li, Shuchen Xiang, Feng Huang

“…Then, particle swarm optimization (PSO) based on improved empirical mode decomposition is designed to optimize the kernel function and penalty factor of the SVM. …”
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Study on Cold Chain Transportation Model of Fruit and Vegetable Fresh-Keeping in Low-Temperature Cold Storage Environment by Xiaolong Jiao, Wen Xu, Lintong Duan

“…Under six constraints, the improved ant colony algorithm is used to find the optimal fruit and vegetable fresh-keeping cold chain transportation route. …”
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Effect of plasma process parameters on the wear behavior of High-Power Pulsed Magnetron Sputtering deposited Aluminum Titanium Nitride coatings by Muhammad Naveed, PhD, Awais Qadir, PhD

“…The findings provide valuable insights into the optimization of HPPMS process parameters, contributing to the development of advanced coatings with enhanced wear resistance and improved performance in cutting applications.…”
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ROITP: Road Obstacle-Involved Trajectory Planner for Autonomous Trucks by Yechen Qin, Yiwei Huang, Wenhao Yu, Hong Wang

“…The planner categorizes road obstacles using a learning-based algorithm. A discrete optimization algorithm selects a multi-objective optimal trajectory while taking into account constraints and objective functions derived from truck dynamics. …”
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