Multi-Objective Parameter Optimization of Rotary Screen Coating Process for Structural Plates in Spacecraft by Yanhui Guo, Yanpeng Chen, Peibo Li, Xinfu Chi, Yize Sun

“…In order to solve the optimization problem, 108 sets of process experiments were designed, and then the experimental data were used to train a Back Propagation Neural Network (BPNN), a Least Squares Support Vector Machine (LSSVM), and Random Forest (RF) to obtain the best prediction model for the process parameters. …”
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Optimization design of natural gas differential pressure power generation under flow fluctuation by Xiaohua Zhu, Wenyang He, Qinglong Lei, Quan Liu

“…Calculation results show that: when the average flow rate of natural gas is 300×104 m3/d, the theory of using differential pressure power generation can convert 647.3×104 kW·h of electric energy per year, while the case's annual power generation is 376.3×104 kW·h, which accounts for 58% of the theory; optimization results show that: the optimize the duration of power generation scheme, continuous power generation scheme, and high efficiency power generation scheme increase the annual power generation compared to the case by 5%, 9%, and 11%, and the net profit increases by 1.6%, 4.9%, and 10% respectively; therefore, it is feasible to adopt natural gas differential pressure power generation technology in purification plant, in which the payback period of high-efficiency power generation scheme is the shortest, only 3.24 years.…”
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Optimized design and thermal performance study of solar heating composite exterior wall panels by Qinghua Guo, Ximeng Lv, Fei Xia, Wenjing He, Sijia Wang, Peijun Sun

“…Using Fluent for simulation, it was found that on a sunny winter day, the thermal performance of the optimized solar collector panel increased by 94.68% compared to its pre-optimized state. …”
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Multi-Strategy Improved Harris Hawk Optimization Algorithm and Its Application in Path Planning by Chaoli Tang, Wenyan Li, Tao Han, Lu Yu, Tao Cui

“…Path planning is a key problem in the autonomous navigation of mobile robots and a research hotspot in the field of robotics. …”
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Optimizing resource allocation in industrial IoT with federated machine learning and edge computing integration by Ala'a R. Al-Shamasneh, Faten Khalid Karim, Yu Wang

“…The research also presents a long-term average unified cost minimization problem considering energy constraints, device heterogeneity, and limited bandwidth in federated edge learning contexts. …”
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Optimizing Heat Pump Control in an NZEB via Model Predictive Control and Building Simulation by Christian Baumann, Philipp Wohlgenannt, Wolfgang Streicher, Peter Kepplinger

“…Therefore, we present a co-simulative approach combining MPC optimization and <i>IDA ICE</i> building simulation. …”
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Optimal Markowitz portfolio using returns forecasted with time series and machine learning models by Damian Ślusarczyk, Robert Ślepaczuk

“…Stock returns portfolios were created using ‘raw’ historical returns and forecasted returns based on ARIMA-GARCH and the XGBoost models. Two optimization problems were concerned: global maximum information ratio and global minimum variance. …”
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On the issue of creating the optimal last stage of powerful steam turbines of nuclear power plants by T. V. Bogomolova, G. A. Ahmadzadeh

“…When using a typical daily load schedule, the average internal relative efficiency in the range of operating modes according to this schedule is higher by 0.6 % when choosing a 10% increased available heat drop compared to the optimal one in the design mode.…”
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A Hybrid K-Means++ and Particle Swarm Optimization Approach for Enhanced Document Clustering by Eisha Hassan, Fazila Malik, Qazi Waqas Khan, Nadeem Ahmad, Muhammad Sardaraz, Faten Khalid Karim, Hela Elmannai

“…Two methods, Elbow Analysis, and Silhouette Score, have been used to find the optimal value of k. The research also attempts to assess the results of the best-performing feature extraction techniques and create a combined approach using their average. …”
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Design of Optimization Method for Light Energy Utilization in Fiber Optic Day-lighting System by WANG Yifang, JIA Xiaoyu, YU Chunrong

“…Due to the use of multiple fiber optic probes, the corresponding testing angle is pre-fixed, solving the problem of uneven variation of solar intensity with zenith angle. …”
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Advanced Vehicle Routing for Electric Fleets Using DPCGA: Addressing Charging and Traffic Constraints by Yuehan Zheng, Hao Chang, Peng Yu, Taofeng Ye, Ying Wang

“…With the rapid proliferation of electric vehicles (EVs), urban logistics faces increasing challenges in optimizing vehicle routing. This paper presents a new modeling framework for the Electric Vehicle Routing Problem (EVRP), where multiple electric trucks serve a set of customers within their capacity limits. …”
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A hybrid scheduling approach for mega event transportation: integrating harmony search and black widow optimization by Mohd Khaled Shambour, Esam Khan, Muhannad A. Abu-Hashem

“…The proposed Harmony Search Black Widow Optimization (HSBWO) algorithm is adapted and applied to a real-world optimization problem in transportation scheduling during the Hajj pilgrimage, particularly focusing on increasing the capacity of pilgrims’ housing sites in the Muzdalifah area by reusing the sites multiple times. …”
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Improved grey wolf optimization algorithm based service function chain mapping algorithm by Yue ZHANG, Junnan ZHANG, Xiaochun WU, Chen HONG, Jingjing ZHOU

“…With the rise of new Internet applications such as the industrial Internet, the Internet of vehicles, and the metaverse, the network’s requirements for low latency, reliability, security, and certainty are facing severe challenges.In the process of virtual network deployment, when using network function virtualization technology, there were problems such as low service function chain mapping efficiency and high deployment resource overhead.The node activation cost and instantiation cost was jointly considered, an integer linear programming model with the optimization goal of minimizing the average deployment network cost was established, and an improved grey wolf optimization service function chain mapping (IMGWO-SFCM) algorithm was proposed.Three strategies: mapping scheme search based on acyclic KSP algorithm, mapping scheme coding and improvement based on reverse learning and nonlinear convergence were added to the standard grey wolf optimization algorithm to form this algorithm.The global search and local search capabilities were well balanced and the service function chain mapping scheme was quickly determined by IMGWO-SFCM.Compared with the comparison algorithm, IMGWO-SFCM reduces the average deployment network cost by 11.86% while ensuring a higher service function chain request acceptance rate.…”
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Chain hybrid feature selection algorithm based on improved Grey Wolf Optimization algorithm. by Xiaotong Bai, Yuefeng Zheng, Yang Lu, Yongtao Shi

“…The experimental results show that the average classification accuracy of the TMKMCRIGWO algorithm is at least 0.1% higher than the other algorithms on 20 datasets, and the average value of the dimension reduction rate (DRR) reaches 24.76%. …”
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Determination of the optimal sowing time for different cotton varieties under irrigation in the Rostov region by Alexander N. Babichev, Rita Ye. Yurkova, Sergei А. Selitsky

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Constructive-destructive neighbor search drives artificial bee colony algorithm for variable speed green hybrid flowshop scheduling problem by Danying Hu, Yali Wu, Lipeng Qiu, Jiayang Mi, Yanxi Yang

“…Aiming at this problem, a speed optimization strategy for encoding and decoding is proposed. …”
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Key issues with optimizing the system of budget planning in the sphere of science and the evaluation of suggested measures by N. G. Kurakova

“…A conclusion is made about the complete discrepancy of suggested approaches to solving the identified problems.…”
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Educational Behaviour Analysis Using Convolutional Neural Network and Particle Swarm Optimization Algorithm by Zhenjiang Dong

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Probability-Weighted Optimal Control for Nonlinear Stochastic Vibrating Systems with Random Time Delay by R. C. Hu, Q. F. Lü, X. F. Wang, Z. G. Ying, R. H. Huan

“…First, by modeling the random delay as a finite state Markov process, the optimal control problem is converted into the one of Markov jump systems with finite mode. …”
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Application of problem based learning (PBL) learning model based on culturally responsive teaching (CRT) to the science learning outcomes of students in grade VII junior high schoo... by Lusi Rahmawati, Lina Agustina

“…These findings corroborate that the Culturally Responsive Teaching (CRT)-based Problem Based Learning (PBL) method not only improves cognitive understanding but also encourages learners' affective engagement more optimally than conventional learning. …”
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