Cooperative and Hierarchical Optimization Design of Shipboard MVDC System for Adapting to Large, Pulsed Power Load by Zhimeng Liu, Yongbao Liu, Youhong Yu, Rui Yang

“…The hierarchical optimization model is designed with energy storage configuration and dynamic performance as the lower and upper objectives, and an efficient parallel neural network-based genetic algorithm is employed to solve this optimization. The proposed method is applied to determine the system optimal energy storage configuration and dynamic performance across multiple scenarios, including different propulsion conditions with various types of large, pulsed power loads. …”
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Random traveling wave pulse-coupled oscillator algorithm of energy-efficient wireless sensor networks by Zeyad Ghaleb Al-Mekhlafi, Zurina Mohd Hanapi, Mohamed Othman, Zuriati Ahmad Zukarnain, Ahmed M Shamsan Saleh

“…This technique proposed in order to minimize the high power utilization in the network to get better data gathering of the sensor nodes during data transmission. …”
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Review of Icing Prediction Model and Algorithm for Overhead Transmission Lines Considering Time Cumulative Effects by Chuanqi WANG, Liwen WU, Zhibin DENG, Weifeng DENG, Bin YANG

“…Secondly, the combination and intercrossing mode of support vector machine, hybrid swarm intelligence optimization algorithm, genetic algorithm in the model focus on the identification and modeling of icing process. …”
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LoRaBB: An Algorithm for Parameter Selection in LoRa-Based Communication for the Amazon Rainforest by Diogo Soares Moreira, Gilmara Santos, Angela Emi Yanai, Pedro Barreto de Souza, Paulo Victor Fernandes de Melo, Edjair Mota

“…The experimental results indicate that the proposed algorithm achieves a 16.20% reduction in Time on Air (ToA). …”
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Balancing comfort and conservation: dynamic programming algorithm for appliance scheduling in residential demand-side management by Maria Ashraf, Maryam Arshad, Sajjad Haider Zaidi, Kiran Shaukat

“…Empirical results from weekday and weekend situations exhibit huge reductions in PAR—over 32% on weekdays and 46% on weekends—along with improved energy efficiency and cost savings. …”
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Optimal Design of Linear Quadratic Regulator for Vehicle Suspension System Based on Bacterial Memetic Algorithm by Bala Abdullahi Magaji, Aminu Babangida, Abdullahi Bala Kunya, Péter Tamás Szemes

“…BMA combines the bacterial foraging optimization algorithm (BFOA) and the memetic algorithm (MA) to enhance the effectiveness of its search process. …”
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LG-YOLOv8: A Lightweight Safety Helmet Detection Algorithm Combined with Feature Enhancement by Zhipeng Fan, Yayun Wu, Wei Liu, Ming Chen, Zeguo Qiu

“…Evaluations on the SWHD dataset confirm the effectiveness of the LG-YOLOv8 algorithm. Compared to the original YOLOv8-n algorithm, our approach achieves a mean Average Precision (mAP) of 94.1%, a 59.8% reduction in parameters, a 54.3% decrease in FLOPs, a 44.2% increase in FPS, and a 2.7 MB compression of the model size. …”
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Optimal design of hollow conductor for high‐speed synchronous motor exploiting adaptive‐sampling radial basis function algorithm by Ruiye Li, Peng Cheng, Hai Lan

“…The ASRBF algorithm efficiently constructs surrogate models for multi‐dimensional, multi‐objective, non‐linear, and constrained problems, providing a powerful tool for comprehensive performance optimisation of complex systems such as motors.…”
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Recurrent Neural Network-Based Autoencoder for Problems of Automat-ic Time Series Analysis at Power Facilities by Matrenin P.V., Khalyasmaa A.I., Potachits Y.V.

“…The most significant achieve-ments of the study are both the autocoding neural network model, which does not require initial assumption about the type of deviations, and the proposed algorithm for prioritizing the data fragments. The significance of the results is prooved by the reduction of the time for analyzing and labeling large data arrays with technological parameters of the electrical networks, which allows using these data for training, validating and testing.…”
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Investigation of a Novel Common Subexpression Elimination Method for Low Power and Area Efficient DCT Architecture by M. F. Siddiqui, A. W. Reza, J. Kanesan, H. Ramiah

“…A wide interest has been observed to find a low power and area efficient hardware design of discrete cosine transform (DCT) algorithm. …”
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Adaptive energy loss optimization in distributed networks using reinforcement learning-enhanced crow search algorithm by S. Bharath, A. Vasuki

“…Comparative results show that RL-CSA achieves a 78% reduction in energy losses, limiting power loss to 5 kW (IEEE 33-Bus) and 8 kW (IEEE 69-Bus) whereas traditional models converge at higher loss levels. …”
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An optimised scattering power decomposition method oriented to ship detection in polarimetric synthetic aperture radar imagery by Lu Fang, Wenxing Mu, Ning Wang, Tao Liu

“…Based on the principal component analysis technique for dimension reduction and the scattering power decompositions with strong physical interpretation, a novel optimised scattering power decomposition model is proposed which comprises surface scattering, double‐bounce scattering, ±45° oriented dipole, and volume scattering components. …”
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Multi-objective Optimization of Electricity-Gas-Heat Integrated Energy System Based on Improved NSGA-Ⅱ Algorithm by Meng JIANG, Yu HUANG, Weihan LIAO, Jianlian ZHANG, Youwen ZHANG, Chuangxin GUO

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Optimization of cable connection layout of unattended AC/DC joint construction station based on INFO algorithm by Long Hu, Zhiwei Yu, Minxin Liang, Xiaoying Chen, Lixia Chen, Guohui Huang

“…An optimization method based on INFO algorithm for cable connection layout of unattended AC-DC joint construction station is studied. …”
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Small-Signal Stability Analysis and Parameters Optimization of Virtual Synchronous Generator for Low-Inertia Power System by Alaa Altawallbeh, Abdulrahman Alassi, Nader Meskin, Mohammed A. Al-Hitmi, Ahmed M. Massoud

“…The optimized design achieves an 83% reduction in ROCOF, a 90% improvement in frequency deviation, and a non-oscillatory power response. …”
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Multi-Objective Optimization for the Low-Carbon Operation of Integrated Energy Systems Based on an Improved Genetic Algorithm by Yao Duan, Chong Gao, Zhiheng Xu, Songyan Ren, Donghong Wu

“…The results demonstrate that the IGA successfully reduces equality constraint violations to below 0.3 kW, representing less than 0.2% deviation from the IES’s power demand in each time slot. We compared its performance against a multi-objective genetic algorithm, a multi-objective particle swarm algorithm, and a single-objective genetic algorithm. …”
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Neuro-fuzzy controller based adaptive control for enhancing the frequency response of two-area power system by M.S. Elborlsy, Samir A. Hamad, Fayez F.M. El-Sousy, R.M. Mostafa, H.E. Keshta, Mohamed A. Ghalib

“…FPI and PI controllers' parameters are optimally tuned using a recent optimization technique known as the Coati Optimization Algorithm (COA). The results obtained from various operational scenarios indicate that the proposed MR-ANFIS controller exhibits superior dynamic performance in regulating system frequency compared to traditional FPI and PI controllers. in scenarios involving minor disturbances, the MR-ANFIS controller demonstrates remarkable agility, achieving a reduction in overshoot by 95 %, undershoot by 96.97 %, settling time by 85.1 %, and ITAE by 73.22 %. …”
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Design approach of an aquaculture cage system for deployment in the constructed channel flow environments of a power plant. by Taeho Kim, Jihoon Lee, David W Fredriksson, Judson DeCew, Andrew Drach, Solomon C Yim

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Integrating dimension reduction and out-of-sample extension in automated classification of ex vivo human patellar cartilage on phase contrast X-ray computed tomography. by Mahesh B Nagarajan, Paola Coan, Markus B Huber, Paul C Diemoz, Axel Wismüller

“…However, the large size of feature sets extracted in such studies motivates an investigation into algorithmic feature reduction for computing efficient feature representations without compromising their discriminatory power. …”
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Estimation of the Double-Cage Model for Three-Phase Induction Machines Using Decision Tree-Based Algorithms by Eduardo Ferreira Rios Oliveira, Rafael Santos, Marcelo Godoy Simoes, Helmo Morales Paredes

“…This article presents a novel methodology for estimating the double-cage model (DCM) for three-phase induction machines (TIMs) using decision tree-based algorithms. Validated on a diverse dataset of 860 machines spanning a power range from 0.12 to 370 kW, the proposed method stands out by requiring fewer input parameters than traditional techniques like the modified Newton method. …”
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