Structural Optimization of the Aircraft NACA Inlet Based on BP Neural Networks and Genetic Algorithms by Zhimao Li, Changdong Chen, Houju Pei, Benben Kong

“…A new method of integrating the BP neural networks and genetic algorithm is used for structure optimization and is proven effective. …”
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Prediction the Choice of Financing for Start-ups using Machine Learning Algorithms and Behavioral Biases by Naimeh Niazi, Hamideh Razavi

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Optimizing cut order planning: A comparative study of heuristics, metaheuristics, and MILP algorithms by Sharif Al-Mahmud, Jose Alejandro Cano, Emiro Antonio Campo, Stephan Weyers

“…Modifications to existing heuristics, combined with tournament selection in genetic algorithms (GA), improve solution quality and efficiency. …”
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Optimizing the Mixing Proportion with Neural Networks Based on Genetic Algorithms for Recycled Aggregate Concrete by Sangyong Kim, Hee-Bok Choi, Yoonseok Shin, Gwang-Hee Kim, Deok-Seok Seo

“…This research aims to optimize the mixing proportion of recycled aggregate concrete (RAC) using neural networks (NNs) based on genetic algorithms (GAs) for increasing the use of recycled aggregate (RA). …”
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Localization Algorithms in Large-Scale Underwater Acoustic Sensor Networks: A Quantitative Comparison by Guangjie Han, Aihua Qian, Chenyu Zhang, Yan Wang, Joel J. P. C. Rodrigues

“…The four algorithms are all suitable for large-scale UASNs. We compare the localization algorithms in terms of localization coverage, localization error, and average energy consumption. …”
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Forward VNS, Reverse VNS, and Multi-VNS Algorithms for Job-Shop Scheduling Problem by Pisut Pongchairerks

“…This paper proposes a number of forward VNS and reverse VNS algorithms for job-shop scheduling problem. The forward VNS algorithms are the variable neighborhood search algorithms applied to the original problem (i.e., the problem instance with the original precedence constraints). …”
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Voice pathology detection using machine learning algorithms based on different voice databases by Nurul Mu'azzah Abdul Latiff, Fahad Taha Al-Dhief, Nurul Fariesya Suhaila Md Sazihan, Marina Mat Baki, Nik Noordini Nik Abd. Malik, Musatafa Abbas Abbood Albadr, Ali Hashim Abbas

“…Experimental results demonstrate that the OSELM algorithm achieves superior performance across both scenarios, with accuracies of up to 85.71 % in Scenario 1 and 80.77 % in Scenario 2, outperforming other algorithms. …”
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Optimizing Solid Oxide Fuel Cell Performance Using Advanced Meta-Heuristic Algorithms by Siva Ram Rajeyyagari, Srinivas Nowduri

Subjects: “…angle of attack optimization algorithm…”
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Low-Complexity Decoding Algorithms for Distributed Space-Time Coded Regenerative Relay Systems by Chao Zhang, Huarui Yin

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Reliable Shape Optimization of Structures Subjected to Transient Dynamic Loading Using Genetic Algorithms by Sabyasachi Chand, Anjan Dutta

“…Automatic mesh generation and adaptive finite element analysis modules are integrated with Genetic algorithm code to carry out the shape optimization. …”
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Node Selection Algorithms with Data Accuracy Guarantee in Service-Oriented Wireless Sensor Networks by Hongju Cheng, Ronglie Guo, Yuzhong Chen

“…Secondarily, we have proposed two heuristic algorithms, namely, Separate Selection Algorithm (SSA) and Combined Selection Algorithm (CSA). …”
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Automatic Control System Design for Industrial Robots Based on Simulated Annealing and PID Algorithms by Yahong Zhu, Jian Jiao

“…This paper explores the development status of automated manipulators and explore the optimal motion path of manipulators in automatic control engineering by combining simulated annealing algorithm and PID algorithm, so as to greatly enhance the application of truss manipulators in production lines.…”
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Path selection algorithms for connecting wireless base stations to power centers in a mine by Denis A. Migov, Anastaiya N. Yurgenson

“…The authors have proposed several algorithms for solving the mathematical problem, including a greedy algorithm, based on the “go to the nearest point” strategy, and a simulated annealing method. …”
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Fuel Costs Minimization on a Steel Billet Reheating Furnace Using Genetic Algorithms by Harley S. O. Santos, Paulo E. M. Almeida, Rodrigo T. N. Cardoso

“…For this purpose, a genetic algorithms approach is developed. Computational simulation results show that it is possible to minimize costs for different charge temperatures and production rates using the implemented method. …”
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Total Variation Regularization Algorithms for Images Corrupted with Different Noise Models: A Review by Paul Rodríguez

“…This paper focuses on giving a summary of the most relevant TV numerical algorithms for solving the restoration problem for grayscale/color images corrupted with several noise models, that is, Gaussian, Salt & Pepper, Poisson, and Speckle (Gamma) noise models as well as for the mixed noise scenarios, such the mixed Gaussian and impulse model. …”
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Exhaustive Search and Power-Based Gradient Descent Algorithms for Time-Delayed FIR Models by Hua Chen, Yuejiang Ji

“…Then, two GD algorithms can be used to identify the time-delayed model. …”
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Development of immune-derived molecular markers for preeclampsia based on multiple machine learning algorithms by Zhichao Wang, Long Cheng, Guanghui Li, Huiyan Cheng

“…Several machine learning algorithms, including least absolute shrinkage and selection operator (LASSO), bagged trees, and random forest (RF), were used to select immune-related signaling genes closely associated with the occurrence of PE. …”
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Comparative Study on Heart Disease Prediction Using Feature Selection Techniques on Classification Algorithms by Kaushalya Dissanayake, Md Gapar Md Johar

“…This article has conducted an experimental evaluation of the performance of models created using classification algorithms and relevant features selected using various feature selection approaches. …”
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Intelligent Ensemble Deep Learning System for Blood Glucose Prediction Using Genetic Algorithms by Dae-Yeon Kim, Dong-Sik Choi, Ah Reum Kang, Jiyoung Woo, Yechan Han, Sung Wan Chun, Jaeyun Kim

“…Although there are numerous deep learning algorithms available, this study applied five algorithms, namely, recurrent neural network (RNN), which is optimized for sequence data (e.g., time-series), and RNN-based algorithms (e.g., long short-term memory (LSTM), stacked LSTM, bidirectional LSTM, and gated recurrent unit). …”
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New blocked all-pairs shortest paths algorithms operating on blocks of unequal sizes by A. A. Prihozhy, O. N. Karasik

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