Quality Evaluation Method for Base Baijiu Based on Support Vector Machine Optimized by Genetic and Bootstrap Aggregating Algorithm by PANG Tingting, ZHANG Guiyu, LIU Kecai, LI Xiaoping, TUO Xianguo, PENG Yingjie, ZENG Xianglin

“…In order to improve the accuracy and generalization capacity of the classification model, a method combining genetic algorithm (GA) and bootstrap aggregating (Bagging) was proposed to optimize the support vector machine (SVM) classifier. …”
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An efficient algorithmic framework to minimize the summand matrix in binary multiplication by Amit Verma, Manish Prateek, Shiv Naresh Shivhare, Thipendra P. Singh, Anuj Kumar, Rakesh Ranjan, Rahul Priyadarshi

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Reservoir Neural Network Computing for Time Series Forecasting in Aerospace: Potential Applications to Predictive Maintenance by Juan Manuel Rodríguez Riesgo, Juan Luis Cabrera Fernández

“…Coupling a reservoir neural network and a Grey Wolf optimization algorithm the system hyperparameters space is explored to find the configuration best suited to forecast the input sensor from the NASA CMAPSS dataset. …”
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Adaptive Computing Resource Allocation for Mobile Cloud Computing by Hongbin Liang, Tianyi Xing, Lin X. Cai, Dijiang Huang, Daiyuan Peng, Yan Liu

“…Mobile cloud computing (MCC) enables mobile devices to outsource their computing, storage and other tasks onto the cloud to achieve more capacities and higher performance. …”
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Particle Swarm Optimization Based Optimal Design of Six-Phase Induction Motor for Electric Propulsion of Submarines by Lelisa Wogi, Amruth Thelkar, Tesfabirhan Shoga Tahiro, Tadele Ayana, Shabana Urooj, Samia Larguech

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Learning Rate Tuner with Relative Adaptation (LRT-RA): Road to Sustainable Computing by Saptarshi Biswas, Sumagna Dey, Subhrapratim Nath

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Transfer Probability-Based Job Reallocation Method for Heterogeneous Edge Clouds by Kohei Ogawa, Sumiko Miyata, Kenji Kanai

“…In mobile edge computing (MEC), efficient job allocation is essential to optimize system performance and reduce reliance on cloud computing. …”
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Development of a Cloud Service for Comprehensive Research of Polymer Synthesis Processes by Eldar Miftakhov, Sofya Mustafina, Anastasiya Kashnikova, Andrey Akimov

“…This problem is particularly relevant for polymer synthesis processes, where standard empirical evaluations require enormous computational resources, and existing methods and algorithms prove ineffective when organizing multiple computational trials to select optimal production scenarios. …”
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The berth allocation problem in bulk terminals under uncertainty by Filipe Rodrigues

“…To solve the model, we use an exact decomposition algorithm (DA) in which the probability distribution information is iteratively included in the master problem through optimal dual cuts. …”
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Long Prediction Horizon FCS-MPC for Power Converters and Drives by Eduardo Zafra, Sergio Vazquez, Tobias Geyer, Ricardo P. Aguilera, Leopoldo G. Franquelo

“…However, the practical implementation is not straightforward due to its inherently high computational burden. To overcome this obstacle, the control problem can be formulated as an integer least-squares optimization problem, which is equivalent to the closest point search or closest vector problem in lattices. …”
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Surrogate-Assisted Multi-Objective Snow Goose Algorithm With Gaussian Process for Cold Chain Logistics by Jian Wu, Zong-Juan Yang, Zhi-Gang Du, Ai-Qing Tian

“…This study presents a novel optimization framework, the Gaussian Process-Based Surrogate-Assisted Multi-Objective Snow Goose Algorithm (GP-SAMOSGA), aimed at optimizing cold chain logistics (CCL) by addressing dual objectives: minimizing transportation costs and maximizing user satisfaction. …”
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From Concept to Market: Ensemble Predictive Model for Research Project Crowdfunding Readiness by Andreea Cristina Ionica, Stanislav Cseminschi, Monica Leba

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Optimizing Supplier Selection for a Construction Project by a Cash-Flow Approach Using a Hybrid Metaheuristic Algorithm by Seyyed Esmaeil Najafi, Soheil Salahshour, Bijan Rahmani Parchikolaei

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Design of low-carbon planning model for vehicle path based on adaptive multi-strategy ant colony optimization algorithm by Qi Guo, Rui Li, Changjiang Zheng, Gwanggil Jeon

“…Subsequently, a graph neural network (GNN) is utilized to optimize nodes and edges computationally. At the same time, the global search capability of the model is augmented via an ant colony optimization algorithm to ascertain the final optimized path. …”
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Application research and effectiveness evaluation mechanism of hybrid intelligent algorithm integrating cognitive computing and deep learning for dynamically adjusting employee per... by Zhenlin Luo, Kebin Lu

“…Additionally, it proposes a performance evaluation mechanism based on algorithm optimization. The experiment initially compared the hybrid intelligent algorithm with the traditional KPI method. …”
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Intelligent End-Edge Computation Offloading Based on Lyapunov-Guided Deep Reinforcement Learning by Xue Feng, Chi Xu, Xi Jin, Changqing Xia, Jing Jiang

“…To address the end-edge computation offloading challenge in the multi-terminal and multi-server environment, this paper proposes an intelligent computation offloading algorithm based on Lyapunov optimization and deep reinforcement learning. …”
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An evolutionary algorithm‐based classification method for high‐dimensional imbalanced mixed data with missing information by Yi Liu, Gengsong Li, Qibin Zheng, Guoli Yang, Kun Liu, Wei Qin

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A Comparison of Heuristic Algorithms for Solving the Traveling Salesman Problem by Younes Khdeir, Ahmed Awad

“…The Traveling Salesman Problem (TSP) is a challenging computational problem in combinatorial optimization that aims to visit all cities exactly once and return to the first city. …”
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Calculation of the steady-state mode of the electric network using a genetic algorithm by V. I. Polischuk, V. A. Tkachenko, A. O. Shepelev

“…Based on the results of the conducted study, it can be concluded that the calculation of the steady state can be considered from the point of view of the optimization problem of power imbalances, the use of a genetic algorithm for calculating the electrical network mode is possible, but the accuracy of the results strongly depends on the number of iterations, although it does not require large computing power and complex calculations.…”
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Measurement of intelligent computing via Levenberg Marquardt algorithm (LMA) for accurate prediction of fluid forces in a transient non-Newtonian thermal flow by Atif Asghar, Rashid Mahmood, Afraz Hussain Majeed, Ahmed S. Hendy, Mohamed R. Ali

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