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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An EPQ Inventory Model with Allowable Shortages for Deteriorating Items under Trade Credit Policy by Zohreh Molamohamadi, Rahman Arshizadeh, Napsiah Ismail

“…These examples are also used to compare the results of cuckoo search algorithm with genetic algorithm and investigate the effects of the model parameters on its variables and net profit.…”
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OPTIMIZING THE PLACEMENT OF A WORK-PIECE AT A MULTI-POSITION ROTARY TABLE OF TRANSFER MACHINE WITH VERTICAL MULTI-SPINDLE HEAD by N. N. Guschinski, V. E. Zdanovich, B. M. Rozin

“…The experiments revealed that the particle swarm optimization algorithm is more effective for the solution of the problem compared to the methods of random search and LP-search.…”
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LightGBM hybrid model based DEM correction for forested areas. by Qinghua Li, Dong Wang, Fengying Liu, Jiachen Yu, Zheng Jia

“…To overcome these shortcomings, this paper cites an improved SSA search algorithm that incorporates the ingestion strategy of the FA algorithm to increase the diversity of solutions and global search capability, the Firefly Algorithm-based Sparrow Search Optimization Algorithm (FA-SSA algorithm) is introduced. …”
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Aircraft range fuel prediction study based on WPD with IAPO optimized BiLSTM–KAN model by Weizhen Tang, Jie Dai, Yuantai Li

“…Additionally, the SPM chaotic mapping strategy is utilized for population initialization, while the introduction of the golden sine operator variation strategy enhances the local search capabilities of the algorithm. The adaptive swoop switching strategy adjusts the search intensity, thereby improving the global search performance and convergence speed of the Arctic Puffin Optimization (APO). …”
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Experimental Study of Trajectory Features for the Recognition of Low-Flying Low-Speed Radar Targets Using Passive Coherent Radar Systems by V. L. Dao, A. A. Konovalov, M. H. Le

“…At the same time, recognition of small UAVs becomes a challenging task due the possibility of confusing them with birds, particularly in maritime areas with large bird populations. In a search for new solutions to the problem of recognizing small UAVs, trajectory features can be used.Aim. …”
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基于混合蛙跳算法的齿轮传动优化设计 by 何兵, 车林仙, 刘初升

“…The hybrid optimization algorithm（HODEFL） overcame the disadvantages on low precision and premature convergence of shuffled frog leaping algorithm（SFLA） for high-dimensional optimization by taking advantages of strong global search and rapid convergence of DE/best/2/bin（DEb2） in differential evolution algorithm（SDE）.The SFLA and DE are hybridized to form a hybrid optimization algorithm（HODEFL） in order to overcome the disadvantages of the SFLA.The study object is the optimization design of the cylindrical helical gear reducer,establishing minimum volume.By comparing with the improved particle swarm optimization（LWPSO）,SFLA and with DEb2 evolutionary algorithm,the HODEFL algorithm is superior to other three algorithms in terms of optimization efficiency,computational accuracy and robustness.…”
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Sliding Mode Thrust Control Strategy for Electromagnetic Energy-Feeding Shock Absorbers Based on an Improved Gray Wolf Optimizer by Wenqiang Zhang, Jiayu Lu, Wenqing Ge, Xiaoxuan Xie, Cao Tan, Huichao Zhang

“…Meanwhile, a position update strategy from the particle swarm optimization (PSO) algorithm is integrated into the gray wolf optimizer (GWO) to improve the global search ability and the balance of local exploitation. …”
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A Verifiable and Secure Industrial IoT Data Deduplication Scheme With Real-Time Data Integrity Checking in Fog-Assisted Cloud Environments by Jakkarin Lapmoon, Somchart Fugkeaw

“…Finally, extensive experiments and comparative evaluations demonstrate that VERDUP significantly improves deduplication performance compared to existing methods.…”
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De-duplication on the Backup System with Information Storage in a Database by Sergey M. Taranin

“…The author offers an algorithm of saving data wiht de-duplication, and also gives the results of comparative tests on the speed of the algorithms of saving and restoring information when working with relational database management systems from different manufacturers.…”
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Research on Path Optimization of Vehicle-Drone Joint Distribution considering Customer Priority by Xiaoye Zhou, Yuhao Feng

“…Second, a two-stage hybrid algorithm is proposed for the problem model. In the first stage, the deep neural network and the grid search improved support vector machine algorithm (DNN-GSM-SVM) are used to screen and classify customer priority features, and in the second stage, adaptive large-scale neighborhood search improved genetic algorithms (ALNS-GA) are used to solve the problem of vehicle-drone joint distribution path planning problem. …”
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A Hybrid Discrete Grey Wolf Optimizer to Solve Weapon Target Assignment Problems by Jun Wang, Pengcheng Luo, Xinwu Hu, Xiaonan Zhang

“…By this means, we acquire a discrete grey wolf optimizer (DGWO) and then through combining it with a local search algorithm (LSA), we obtain the HDGWO. Moreover, we also introduce specific domain knowledge into both the encoding method and the local search algorithm to compress the feasible solution space. …”
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Spatiotemporal-Dependent Vehicle Routing Problem Considering Carbon Emissions by Ziqi Liu, Yeping Chen, Jian Li, Dongqing Zhang

“…A hybrid adaptive genetic algorithm with elite neighborhood search is developed to solve the problem. …”
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Forgetful Swarm Optimization for Astronomical Observation Scheduling by Nariman Nakhjiri, Maria Salamo, Miquel Sanchez-Marre, Christian Blum, Juan Carlos Morales

“…FSO combines local optimization, Destroy and Repair, and Swarm Intelligence methodologies to create a flexible and scalable global optimization algorithm to handle the challenges of AOS. The proposal is adapted to the well-justified scenarios of the Ariel Space Mission problem, a particular example of AOS, and compared with previous algorithms that are applied to it including an Evolutionary Algorithm (EA), an Iterated Local Search (ILS), a multi-start metaheuristic, a Tabu Search, and a Hill-Climbing greedy algorithm. …”
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Adaptive mechanism-based grey wolf optimizer for feature selection in high-dimensional classification. by Genliang Li, Yaxin Cui, Jingyu Su

“…This approach encompasses a novel nonlinear parameter control strategy to balance exploration and exploitation effectively, thereby preventing the algorithm from converging prematurely. Additionally, an adaptive fitness distance balancing mechanism is proposed to prevent premature convergence and enhance search efficiency by selecting high-potential solutions. …”
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Multi-criteria pressure sensors placement in water distribution networks using fuzzy TOPSIS by Mohammad Mehdi Riyahi, Carlo Giudicianni, Amin E. Bakhshipour, Ali Haghighi, Enrico Creaco

“…The k-means clustering algorithm is employed to narrow down the search space and identify the most suitable candidate nodes. …”
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The Potential Mechanism of Curcumin in Treating Oral Squamous Cell Carcinoma Based on Integrated Bioinformatic Analysis by Wu Siyuan, Lv Xiaozhi, Wu Jialin, Haigang Wei, Shiwei Liu, Chen Zou, Jing Song, Li Xia, Ai Yilong

“…We acquired the targets of curcumin from three digital databases, including the Comparative Toxicogenomics Database, Search Tool for Interactions of Chemicals, and SwissTargetPrediction. …”
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An Optimal Approach for Assessing Weibull Parameters and Wind Power Potential for Six Coastal Cities in Pakistan by Ghulam Abbas, Arshad Ali, Faizan Rashid, Naveed Ashraf, Zohaib Mushtaq, Muhammad Zubair

“…In this research, we have ameliorated the performance of the recently-introduced novel energy pattern factor method (NEPFM) via a direct search algorithm, i.e., simplex search algorithm (SSA). …”
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Global Convergence of a Modified Spectral Conjugate Gradient Method by Huabin Jiang, Songhai Deng, Xiaodong Zheng, Zhong Wan

“…With an Armijo-type line search to determinate the step length, a new spectral PRP conjugate algorithm is developed. …”
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Optimal coalition structure generation strategy in multi-task concurrent edge computing environment by Shuxu ZHAO, Ping WEI, Xiaolong WANG

“…A discrete recent past-position updating strategy based m-ary discrete particle swarm optimization (MDPSO-DRPPUS) algorithm was proposed for the problem of large search space and low efficiency when solving the optimal coalition structure.First, the coalition structure with index-based was coded.Then, the multi-objective optimization problem was transformed into an eigenvalue function of the coalition structure.Finally, the optimal coalition structure was searched by using the MDPSO-DRPPUS algorithm.Experiments show that compared with the m-ary discrete particle swarm optimization (MDPSO) algorithm and genetic algorithm (GA), the proposed algorithm dramatically reduces the average running time, and improves the efficiency and equilibrium of the coalition structure and task completion efficiency of edge nodes.…”
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