An Optimized Hybrid Model for Perishable Product Quality Inference in the Food Supply Chain by Muhammad Asrol, . Suharjito, Riyanto Jayadi

“…The model optimization achieves optimal computation time while aiming to preserve model accuracy. …”
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Design Method for Low-Ice-Class Propellers Based on Multi-Objective Optimization by Chenxu Gu, Kang Han, Kaiqiang Weng, Chao Wang, Chunhui Wang

“…The objective of this paper was to establish a comprehensive methodology for the optimized design of propellers for ice-class vessels, aiming to enhance hydrodynamic efficiency while ensuring structural integrity. …”
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Prediction of High-Risk Cardiac Arrhythmia Based on Optimized Deep Active Learning by Homeyra Amiri, Javad Mohammadzadeh, Seyed Mohsen Mirhosseini, Alireza Nikravanshalmani

“…The study delineates a new framework that integrates deep learning, fuzzy logic, and active learning, aiming to provide an innovative approach for the early detection of cardiac arrhythmias through Optimized Deep Active Learning (ODAL). …”
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Research on Wellbore Trajectory Optimization and Drilling Control Based on the TD3 Algorithm by Haipeng Gu, Yang Wu, Xiaowei Li, Zhaokai Hou

“…Aiming at the real-time optimization requirements of complex drilling scenarios, the TD3 algorithm is adopted to solve the problem of high-dimensional continuous decision-making through delay strategy update, double Q network, and target strategy smoothing. …”
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Optimal Allocation of Hybrid Energy Storage Capacity for Microgrids Considering Electric Vehicles by Yvhua Bian, Haizheng Wang, Jinhua Zhang, Jie Yan, Xiaoke He

“…This paper proposes a capacity optimization allocation model for a hybrid energy storage system (HESS) in microgrids with electric vehicle (EV) access, aiming to ensure the stability of power in the tie-line. …”
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Availability Optimization of Two-dimensional Warranty Products Under Imperfect Preventive Maintenance by Rongcai Wang, Zhonghua Cheng, Liqing Rong, Yongsheng Bai, Qian Wang

“…On this basis, this paper obtains the optimal PM interval with the numerical algorithm and particle swarm optimization (PSO) taking the maximal availability of the 2D warranty product as the optimization objective and compares the results and speed of the two algorithms. …”
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Mixed Multi-Strategy Improved Aquila Optimizer and Its Application in Path Planning by Tianyue Bao, Jiaxin Zhao, Yanchang Liu, Xusheng Guo, Tianshuo Chen

“…This study presents a multi-strategy fusion of the improved Aquila Optimizer, aiming to enhance its performance by integrating diverse optimization techniques, particularly in the context of path planning. …”
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Optimization of sustainable coal procurement for power plants under maritime transportation uncertainty by Qiang Liu, Xiao Wang, Huashi Liu, Lei Meng, Chenxu Hao

“…This study introduces a stochastic optimization model designed for enhancing coal procurement and logistics management at port-based coal-fired power plants. …”
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Coordinated Optimization Operation Strategy for Multi-Energy Center with Power-to-Gas Devices by Lei ZHANG, Guangyu QIN, Yaling LIU

“…The power-to-gas process is divided in this paper into two stages: power-to-hydrogen and hydrogen-to-natural gas, and added with hydrogen storage devices to better coordinate the energy flow between power energy, hydrogen energy and natural gas energy. Aiming at the lowest operating cost and maximum wind power accommodation, a coordinated optimization operation model is constructed for multi-energy center with power-to-gas devices considering the operational constraints of power-to-gas, natural gas pipe network and various energy equipment. …”
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Research on the optimization method of inventory management of important spare parts of intercity railway. by Dongyan Wang, Ying Sun, Liang Yu, Kun Shen, Junbo Li, Xia Wu

“…Based on the failure rate, an inventory control model for intercity railway spare parts is established, aiming to minimize total costs while considering constraints such as order point, order quantity, and equipment availability. …”
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An Optimized Deep-Learning-Based Network with an Attention Module for Efficient Fire Detection by Muhammad Altaf, Muhammad Yasir, Naqqash Dilshad, Wooseong Kim

“…In the preprocessing phase, super-resolution is applied to input data using LapSRN to effectively enhance the data quality, aiming to achieve optimal performance. In the subsequent phase, the proposed network utilizes an attention-based deep neural network (DNN) named Xception for detailed feature selection while reducing the computational cost, followed by adaptive spatial attention (ASA) to further enhance the model’s focus on a relevant spatial feature in the training data. …”
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Deep learning architectures for influenza dynamics and treatment optimization: a comprehensive review by Adane Adugna, Desalegn Abebaw, Abtie Abebaw, Mohammed Jemal

“…Deep learning architectures are increasingly being applied to address the complexities of influenza dynamics and treatment optimization, which remain critical global health challenges. …”
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An Improved Symbiosis Particle Swarm Optimization for Solving Economic Load Dispatch Problem by Jianxia Zhang, Jianxin Zhang, Feng Zhang, Minglu Chi, Linbin Wan

“…In this paper, an improved symbiosis particle swarm optimization algorithm was proposed, aiming at providing a better solution to this problem. …”
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Capacity planning for wind, solar, thermal and energy storage in power generation systems considering coupled electricity‐carbon markets by Jiajia Huan, Yuling He, Kai Sun, Hongchang Lu, Haipeng Wang, Xuewei Wu

“…The model employs a bi‐level optimization method based on the Improved Coati Optimization Algorithm (ICOA) to optimize the system's capacity planning. …”
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Integrated Analysis of Optimization and Settlement Characteristics in Hybrid Pile Systems for Reused Foundations by Jingsen Niu, Zheng Yang, Siyu Yin, Shengzhao Cheng

“…The study explores the interaction effects between new and existing piles, aiming to optimize the performance of pile reuse.…”
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Coordinated Optimization of Generator Excitation System for Improving Transmission Capacity of Power System by Guanhong WANG, Ying LI, Yao YU, Biao WANG, Xiangyu TAO, Wenfeng LI, Yong TANG

“…Aiming at above-mentioned problems, we firstly optimize the excitation system AVR main loop, the reactive current compensation and PSS parameters of generators, which reduces the lag time of generators and excitation system, decreasing the non-compensation phase frequency characteristic hysteresis by 10 degrees. …”
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Optimizing soil fertility in southern China: a review of sugarcane intercropping strategies by Wenlong ZHANG, Jinhua SHAO, Kai HUANG, Limin CHEN, Guanghui NIU, Benhui WEI, Guoqin HUANG

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Drilling Parameter Control Based on Online Identification of Drillability and Multi-Objective Optimization by Jianbo Dai, Xilu Yin, Yan Zhang, Lei Si, Dong Wei, Zhongbin Wang, Longmei Zhao

“…Aiming at the problem that drilling parameters are difficult to adjust in time for the driller due to the complex geological environment in underground coal mines, a drilling parameter control method based on online identification of drillability and multi-objective optimization of drilling parameters is proposed. …”
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Design of optimized single-switch capacitor cell balancing for EV battery management by Anjan N. Padmasali, Savitha G. Kini, Arun P. Parameswaran

“…Electric vehicles are at the forefront of the transition towards more sustainable transportation, and battery management systems are tasked with ensuring optimal operation and balancing of the individual cells within a battery pack for increased performance, longevity, and safety of EV batteries. …”
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An Optimized Path Planning Method for Coastal Ships Based on Improved DDPG and DP by Yiquan Du, Xiuguo Zhang, Zhiying Cao, Shaobo Wang, Jiacheng Liang, Fengge Zhang, Jiawei Tang

“…Hence, this paper improves the reward principle of traditional DDPG through the mainline reward function and auxiliary reward function, which not only helps to plan a better path for ship but also improves the convergence speed of the model. Secondly, aiming at the problem that too many turning points exist in the above-planned path which may increase the navigation risk, an improved DP algorithm is proposed to further optimize the planned path to make the final path more safe and economical. …”
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