Multiobjective Optimization of Turning Cutting Parameters for J-Steel Material by Adel T. Abbas, Karim Hamza, Mohamed F. Aly, Essam A. Al-Bahkali

“…An alternative approach for identifying the trade-off frontier was also tested via multiobjective implementation of the Efficient Global Optimization (m-EGO) algorithm. The m-EGO algorithm was successful in identifying two points within the good range of the trade-off frontier with 36% fewer experimental samples.…”
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Designing of a wide-area power system stabilizer using an exponential distribution optimizer and fuzzy controller considering time delays by Chao Zhang, Xucheng Chang, Jun Dai, Zhiqiang Chen, Manoochehr Babanezhad

“…Abstract In this paper, explore the effectiveness of a new Wide Area Fuzzy Power System Stabilizer (WAFPSS), optimized using the Exponential Distribution Optimization (EDO) algorithm, and applied to an IEEE three-area, six-machine power system model. …”
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Optimizing the WEEE Recovery Network Associated with Environmental Protection Awareness and Government Subsidy by Nonlinear Mixed Integer Programming by Yanan Bo, Yanqi Wang, Zhong Wan

“…For solving this model, an algorithm is developed based on the branch and bound method. …”
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Precision Sensing-Aided Multi-Target Beamforming Prediction in High-Mobility ISAC Systems Based on OTFS by Chunyue Wang, Yong Wang, Huiming Zheng, Yunhao Chai, Ying Dong

“…Utilizing this algorithm, we achieve precise multi-target beamforming prediction without approximation. …”
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Estimation of Concrete Carbonation Depth Considering Multiple Influencing Factors on the Deterioration of Durability for Reinforced Concrete Structures by Hae-Chang Cho, Hyunjin Ju, Jae-Yuel Oh, Kyung Jin Lee, Kyung Won Hahm, Kang Su Kim

“…The proposed ANFIS algorithm closely estimated the carbonation depths, and it is considered that, with further inspection data, a higher accuracy would be achieved. …”
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A Panel of Blood Biomarkers for the Diagnosis of Transient Ischemic Attacks by Daisy Guamán-Pilco, Elena Palà, Marcel Lamana-Vallverdú, Anna Penalba, Paula García-Rodríguez, Marta Rubiera, Alejandro Bustamante, Soledad Pérez-Sánchez, Joan Montaner

“…We compared the groups, examined the effects of the biomarkers via logistic regression, compared models with likelihood ratio tests, assessed predictive accuracy with receiver operating characteristic analysis, and optimized cutoff values with the PanelomiX algorithm. ApoC-III, IL-6, and vWF were the most effective biomarkers in discriminating TIAs from mimics after adjustment for clinical variables. …”
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Multiobjective Optimization Model of Production Planning in Cloud Manufacturing Based on TOPSIS Method with Combined Weights by Zhiru Li, Wei Xu, Huibin Shi, Qingshan Zhang, Fengyi He

“…This paper validated the effectiveness and feasibility of the multiobjective model and NSGA-II algorithm by the example of company A. The Pareto effective solution has been obtained by solving the model. …”
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Evaluation of snow-drifting influencing factors and susceptibility of transportation infrastructure lines by Pengxiang Li, Aiying Gao, Mingzhou Bai, Shumao Qiu

“…The WOE (Weight of Evidence) model was selected as the base evaluation model, and the BP-GA algorithm was applied to optimize the weights of evaluation indicators. …”
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Ant Colony Optimization Analysis on Overall Stability of High Arch Dam Basis of Field Monitoring by Peng Lin, Xiaoli Liu, Hong-Xin Chen, Jinxie Kim

“…The feedback analysis is then implemented with a modified ant colony algorithm. The algorithm performance is satisfactory, and the accuracy is verified. …”
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Optimal design and operation of a wind farm/battery energy storage considering demand side management by Siyu Tao, Chaohai Zhang, Andrés E. Feijóo‐Lorenzo, Victor Kim

“…It is tackled by the mixed‐discrete particle swarm optimization algorithm. The multi‐objective optimization problem (MOOP) model in the second level determines the operation schedule of the WF/BES and other generators taking the DSM into consideration. …”
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Online and Offline Identification of False Data Injection Attacks in Battery Sensors Using a Single Particle Model by Victoria A. O'Brien, Vittal S. Rao, Rodrigo D. Trevizan

“…FDIA detection, identification, and classification was accomplished using a tuned cumulative sum (CUSUM) algorithm, which was compared with a baseline method, the chi-squared error detector. …”
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A Real-Time Train Timetable Rescheduling Method Based on Deep Learning for Metro Systems Energy Optimization under Random Disturbances by Jinlin Liao, Feng Zhang, Shiwen Zhang, Cheng Gong

“…This paper proposes a Modified Genetic Algorithm-Gate Recurrent Unit (MGA-GRU) method, which is a real-time TTR method based on deep learning. …”
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Measurement of Microvibration by Using Dual-Cavity Fiber Fabry-Perot Interferometer for Structural Health Monitoring by Dae-Hyun Kim, Jin-Hyuk Lee, Byung-Jun Ahn

“…In this paper, a dual-cavity fiber Fabry-Perot interferometer was proposed with a phase-compensating algorithm for measuring micro-vibration. The interferometer has structurally two arbitrary cavities; therefore the initial phase difference between two sinusoidal signals induced from the interferometer was also arbitrary. …”
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Macroscopic Fundamental Diagram Based Discrete Transportation Network Design by Guojing Hu, Weike Lu, Feng Wang, Robert W. Whalin

“…Then, the output data are obtained to shape MFDs, and k-means clustering algorithm is employed to quantify the MFD-based network capacity. …”
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An aggregate stochastic model incorporating individual dynamics for predation movements of anelosimus studiosus by Alex John Quijano, Michele L. Joyner, Edith Seier, Nathaniel Hancock, Michael Largent, Thomas C. Jones

“…A least squares optimization algorithm is used for parameter estimation to fit a single stochastic model to an individual spider during predation resulting in unique parameter values for each spider. …”
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A multi-attribute decision-making context for hospital site evaluation using distance measures under complex picture fuzzy soft set environment by Asghar Ali, Khan Khuram Ali, Rahman Atiqe Ur

“…Even though there are several algorithms in the literature those deals with these location-related decision-making challenges, every algorithm has intrinsic flaws that affect how decisions are made. …”
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Managing Risk in the Design of Modular Systems for an Autonomous Shuttle by Thomas H. Drage, Kieran Quirke-Brown, Lemar Haddad, Zhihui Lai, Kai Li Lim, Thomas Braunl

“…The study emphasizes algorithm selection based on application requirements to ensure optimal performance. …”
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EEG Channel Selection Using Particle Swarm Optimization for the Classification of Auditory Event-Related Potentials by Alejandro Gonzalez, Isao Nambu, Haruhide Hokari, Yasuhiro Wada

“…In the present work, we propose a method for classifying P300 ERPs using a combination of Fisher Discriminant Analysis (FDA) and a multiobjective hybrid real-binary Particle Swarm Optimization (MHPSO) algorithm. Specifically, the algorithm searches for the set of EEG channels and classifier parameters that simultaneously maximize the classification accuracy and minimize the number of used channels. …”
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Analysis of accuracy of the beginning of hijriah months reckoning of ad-Dur al-Aniq book in 20 years by Muchamad Choirun Nizar, Bashori Alwi

“…After comparing the calculation results using the Jean Meeus algorithm and NASA SKYCAL, the result is that the average difference between the three calculations is no more than 2 minutes.…”
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Machine state classification of electric track circuit by means of logistic regression by D. V. Borisenko, I. V. Prisukhina, S. A. Lunev

“…To perform this task, we developed an algorithm based on logistic regression. In this article we describe basic principles of the algorithm and machine learning techniques that are applied.…”
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