Double Filter and Double Wrapper Feature Selection Algorithm for High-Dimensional Data Analysis by Hong Chen, Yuefeng Zheng

“…Among them, in order to overcome the problem of single algorithm falling into the local optimum, the Algorithm Iteration Mechanism is proposed, which selectively runs two wrapper algorithms to make the algorithm jump out of local optimum and explore a broader optimization space. …”
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Ultralight Situation-Aware Hypervisor With Adaptive Starvation-Free Feedback Control for Embedded System by Minjung Kim, Daejin Park

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State of Charge Prediction of Mine-Used LiFePO₄ Battery Based on PSO-Catboost by Dazhong Wang, Yinghui Chang, Pengfei Ji, Yanchun Suo, Ning Chen

“…The experiment and comparison show that the optimized model’s prediction accuracy and average precision are superior to other comparative models. …”
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A multistrategy improved hunger games search algorithm by Qiu Yihui, Zhang Xinqiang, Li Ruoyu, Li Dongyi, Xia Feihan

“…The proposed MHGS algorithm provides a novel and effective framework for solving complex optimization problems, demonstrating significant theoretical and practical value in the field of computational intelligence.…”
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Using a graph to schematize the test results of mining dump trucks by Dianov V.A., Bokarev A.I., Kartashov A.B., Dubinkin D.M., Pashkov D.A.

“…However, the general problem is the practical complexity of processing large amounts of data for subsequent use in the design process. …”
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Torque ripple reduction and increasing of torque per volume for hybrid electrical vehicle by A. Hosseinpour

“…Two-objective optimization problems are solved by MOEA/D, NSGA II, PESA II and SPEA II algorithms based on a two-dimensional (2-D) model. …”
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Intelligent Design Method for Thermal Conductivity Topology Based on a Deep Generative Network by Qiyin Lin, Feiyu Gu, Chen Wang, Hao Guan, Tao Wang, Kaiyi Zhou, Lian Liu, Desheng Yao

“…We observed a 50.1% reduction in the average temperature and a 28.2% reduction in the highest temperature in our designed topology compared with those theoretical structure designs.…”
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An Integrated Process-Network Load Balancing in Edge-Assisted Autonomous Vehicles Using Multimodal Applications With Shared Workloads by Sinuk Choi, Pyeongjun Choi, Donghyeon Kim, Jeongho Kwak, Ji-Woong Choi

“…To solve this problem, we leverage Lyapunov optimization to transform the long-term average problem into a slot-by-slot problem. …”
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Variable domain mutational analysis to probe the molecular mechanisms of high viscosity of an IgG1 antibody by Jing Dai, Saeed Izadi, Jonathan Zarzar, Patrick Wu, Angela Oh, Paul J. Carter

“…The methods described here may be useful in the optimization of other antibodies to facilitate their therapeutic administration at high concentration.…”
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VNE-AFS:virtual network embedding based on artificial fish swarm by Qiang ZHU, Hui-qiang WANG, Hong-wu LV, Zhen-dong WANG

“…Recently virtual network embedding problem had been proposed as a research challenge in the cloud computing environment.In order to reduce the costs,a virtual network embedding algorithms based on artificial fish swarm(VNE-AFS)was proposed.A binary combinatorial optimization model was built according to the constraints on nodes and links between virtual network and substrate network,and the artificial fish swarm algorithm was used to achieve the approximate optimal mapping.The simulation results indicate that the costs of substrate network and computation time are reduced and the success rate,average revenue of embedding and average usage of links are increased compared with the existing virtual network embedding algorithms.…”
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Integrating Metaheuristics and Machine Learning for Enhanced Vehicle Routing: A Comparative Study of Hyperheuristic and VAE-Based Approaches by Kassem Danach, Louai Saker, Hassan Harb

“…This study addresses the optimization of the Vehicle Routing Problem (VRP) with prioritized customers by introducing and comparing two advanced solution approaches: a metaheuristic-based hyperheuristic framework and a Variational Autoencoder (VAE)-based hyperheuristic. …”
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Task Scheduling of Multiple Humanoid Robot Manipulators by Using Symbolic Control by Mete Özbaltan, Nihan Özbaltan, Hazal Su Bıçakcı Yeşilkaya, Murat Demir, Cihat Şeker, Merve Yıldırım

“…The control objectives encompass the fundamental behaviors of the system, strict rules, and mutual exclusions over shared resources, categorized as the safety property, whereas the optimization objectives are directed toward maximizing the throughput of robot-processed products with optimal efficiency. …”
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Study on energy saving strategy and Nash equilibrium of base station in cognitive radio network by Xiao-tong MA, Shun-fu JIN, Jian-ping LIU, Zhan-qiang HUO

“…Spectrum utilization can be improved in cognitive radio network (CRN), however, the problem of increasing communication energy consumption was also brought. …”
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Study on energy saving strategy and Nash equilibrium of base station in cognitive radio network by Xiao-tong MA, Shun-fu JIN, Jian-ping LIU, Zhan-qiang HUO

“…Spectrum utilization can be improved in cognitive radio network (CRN), however, the problem of increasing communication energy consumption was also brought. …”
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Normalized square difference based multilevel thresholding technique for multispectral images using leader slime mould algorithm by Manoj Kumar Naik, Rutuparna Panda, Ajith Abraham

“…These problems are solved in this paper by introducing a novel normalized square difference (NSD) based multilevel thresholding technique using a leader slime mould algorithm (LSMA). …”
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TANS: A Tolerance-Aware Neighborhood Search Method for Workflow Scheduling with Uncertainties in Cloud Manufacturing by Haiyan Xu, Fanhao Ma, Long Chen

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Research on tracking strategy of manipulator based on fusion reward mechanism by Ruyi Dong, Kai Yang, Tong Wang

“…Sparse reward signals lead to blind exploration, affecting the efficiency of the manipulator during path planning for multi-axis systems at any given end-effector start and target position. To address the problem of tracking randomly located targets in three-dimensional space, this paper proposes a PPO (proximal policy optimization) algorithm with a fused reward mechanism, which enhances the tracking and guidance capabilities of the manipulator in multiple dimensions and reduces the blind randomness of the manipulator during the detection and sampling process. …”
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Strategic deployment of roadside units for effective vehicle-to-infrastructure communication to limit road accidents by Paule Kevin Nembou Kouonchie, Willy Stephen Tounsi Fokui, Danube Kirt Ngongang Wandji

“…The simulation results demonstrate the effectiveness of the hybridization of GA and PSO for the optimal deployment of RSUs with significant communication results concerning connectivity, packet delivery ratio, and average downlink end-to-end delay. …”
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Inversion Method for Permitting Loadings of Pollutant from Lateral Effluents Based on Adjoint Equations by SHI Xiaoyan, ZHANG Hong, TAO Chunhua, LU Lingjiang, WAN Xin, LIU Zhaowei

“…The adjoint equation method demonstrates substantial benefits in solving inverse problems in hydraulics. However, optimization objectives that rely on discrepancies between predicted and observed concentrations cannot be directly applied to determine the permissible loadings, limiting the application of the adjoint equation method to this issue. …”
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Inversion Method for Permitting Loadings of Pollutant from Lateral Effluents Based on Adjoint Equations by SHI Xiaoyan, ZHANG Hong, TAO Chunhua, LU Lingjiang, WAN Xin, LIU Zhaowei

“…The adjoint equation method has demonstrated considerable benefits in addressing inverse problems in hydraulics. However, optimization objectives based on the discrepancies between predicted and observed concentrations cannot be straightforwardly employed for determining the permissible loadings, thus restricting the application of the adjoint equation method to this issue. …”
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