Optimizing piezoelectric actuator placement for enhanced vibration control using genetic algorithms by Shuqing Wang, Huichao Jin, Yu Wang, Junyi Huo, Xudong Liu

“…This study proposes an optimization framework for piezoelectric sensor and actuator configurations in cantilever beams using a genetic algorithm. …”
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Optimization for Express/Local Train Stop Plans on City Rapid Rail Transit Lines by GUO Jingfan

“…A comparative analysis is conducted on enterprise operational costs and passenger travel costs before and after the stop plan optimization. [Result & Conclusion] The stop plan verifies the effectiveness of the proposed model and algorithm. …”
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FCC algorithm for power loss diminution by Kanagasabai L.

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Optimal Scheduling Method for Power Generation of Cascade Reservoirs Based on RLDE Algorithm by CHEN Jia-wen, ZHU Xin, TANG Zheng-yang, SHEN Ke-yan, CHEN Xiao-lin, QIN Hui

“…To validate the feasibility and effectiveness of the RLDE algorithm, it was applied to optimize the power generation scheduling model for four major cascade reservoirs (Wudongde, Baihetan, Xiluodu, and Xiangjiaba) on the lower Jinsha River. …”
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Multiobjective Optimization Method for Polymer Injection Molding Based on a Genetic Algorithm by Zhijun Yuan, Hui Wang, Xuebing Wei, Kui Yan, Cheng Gao

“…The optimal combination of the impact parameters is determined using a multiobjective genetic algorithm. …”
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Exploring Evolutionary Algorithms for Optimal Power Flow: A Comprehensive Review and Analysis by Harish Pulluri, Vedik Basetti, B. Srikanth Goud, CH. Naga Sai Kalyan

“…The general formulation of OPF is complex, representing a large-scale optimization model with nonlinear and nonconvex characteristics, incorporating both discrete and continuous control variables. …”
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Hybrid Swarm Intelligence and Human-Inspired Optimization for Urban Drone Path Planning by Yidao Ji, Qiqi Liu, Cheng Zhou, Zhiji Han, Wei Wu

“…Specifically, competitive and supportive behaviors are mathematically modeled to enhance particle learning strategies and improve global search capabilities in the mid-optimization phase. …”
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Research on Parallel Multi-objective Optimal Submarine Cable Route Planning Algorithm by JIANG Jiarui, ZHAO Zanshan, DUAN Maosheng, GAO Guanjun

“…【Methods】In this paper, the grid map of the target sea area is divided into multiple grid subgraphs by the idea of divide and conquer, and a parallel multi-objective optimization submarine cable route algorithm model is established, and the key parameters of the model are optimized. …”
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Deep Learning Algorithm for Optimized Sensor Data Fusion in Fault Diagnosis and Tolerance by M. Elhoseny, Deepak Dasaratha Rao, Bala Dhandayuthapani Veerasamy, Noha Alduaiji, J. Shreyas, Piyush Kumar Shukla

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A navigation satellite selection algorithm for optimized positioning based on Gibbs sampler by Na Xia, Qinan Zhi, Menghua He, Yunqing Hong, Huazheng Du

“…In addition, the scheme is updated by the conditional probability distribution model of the Gibbs sampler algorithm, and it gradually approaches the global optimal solution of the satellite combination with better geometric distribution of the space satellite. …”
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A Novel Optimization Algorithm for Modifying the Parameter Unit of Solar PV Cell by V. Senthil Nayagam, S. Sanal Kumar, V. Thiyagarajan, Neel Kamal, N. Nisha, J. Samson Isaac, Adane Kassa

“…As a result, combining these two mechanisms can considerably improve the whale optimization algorithm capacity to find the optimal answer. …”
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Multi-objective optimization and characteristic analysis of contra-rotating fan double-row blades coupling by Xinyu ZHANG, Hua JIANG, Wuqi GONG

“…The sample set data is used to construct a neural network surrogate model, and the weights and thresholds of the neural network are optimized in combination with the genetic algorithm to improve the generalization ability of the surrogate model. …”
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Prediction and optimization of robot processing technology based on neural network and genetic algorithm by Fusen WU

“…The optimal process parameter combination determined through genetic algorithm optimization is a radial cutting depth of 2.28 mm, an axial cutting depth of 2.98 mm, a spindle speed of 9 586.65 r/min and a feed rate of 2 207.67 mm/min. …”
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Multi-Level Particle System Modeling Algorithm with WRF by Julong Chen, Bin Wang, Rundong Gan, Xuepeng Mou, Shiping Yang, Ling Tan

“…To improve modeling efficiency, cascade Bezier curves are designed at different line-of-sights (LoSs), utilizing the weight information of boundary particles to optimize cloud contours. …”
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A low-carbon optimization scheduling method of CIES based on PPO algorithm by CHEN Fan, WU Lingxiao, WANG Man, LYU Ganyun, ZHANG Xiaolian

“…The tiered carbon trading mechanism and optimization scheduling model solving algorithm are pivotal for the community integrated energy system (CIES). …”
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Analysis and simulation of interception characteristics of broad-leaved forest canopy based on parameter optimization: Dianchi basin case by Qi Yi, Shengfang Hou, Xiaodong Dou, Yuting Gao, Zhongbin Li, Yiyan Liu

“…This study investigated the rainfall redistribution characteristics of three typical subtropical semi-humid evergreen broad-leaved forests in the Dianchi Basin of China. The model structure was improved by incorporating both canopy density and leaf area index (LAI) as indicators, and optimized the parameters using the Gauss-Newton algorithm, with appropriate threshold settings for absorption and additional interception. …”
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Optimizing firefighting resilience in airports through genetic algorithms and decision-making frameworks by Yulong Zhu, Wei Tian, Xuhong Jia, Quanyi Liu

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Research on kd-tree Cache Optimization Based on Particle Index Sorting Algorithm by 张挺, 林震寰, 杨丁颖, 王宗锴, 陈轶凡

“…Consequently, the cache access pattern is optimized, leading to fewer cache misses and improved search times. …”
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The algorithm of the engineering method of parameter optimization dump working equipment of the motor grader by Ignatov S.D.

“…This paper presents an analysis of existing motor grader blade equipment designs, develops an engineering methodology optimization algorithm, and examines the main stages of its implementation, including modeling, iterative optimization procedures, and experimental validation. …”
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Swarm Intelligence Algorithms for Optimization Problems a Survey of Recent Advances and Applications by Mande Smita Samrat, M Srinivasulu, Anand Sruthi, K Anuradha, Tiwari Mohit, U Esakkiammal

“…For many years swarm intelligence (SI) algorithms have shown successful performance for complex optimization problems in many fields. …”
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