Optimization of Two Methods for the Rapid and Effective Extraction of Quinine from <i>Cinchona officinalis</i> by Gianella Ochoa, Leonardo Armijos, Jorge G. Figueroa, Ximena Jaramillo-Fierro, Natalí Solano-Cueva

“…This study successfully optimized two advanced extraction methods, microwave-assisted extraction (MAE) and ultrasound-assisted extraction (UAE), for the efficient and rapid recovery of quinine from <i>Cinchona officinalis</i>. …”
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Multi-objective particle swarm optimization algorithm-based method for optimal placement and sizing of distributed generations and shunt capacitors in a radial distribution network by Pinank Patel, Nagaraj Patil, Ahmed Mohsen, Aditya Kashyap, Nofal Adrees Hasan, Karthikeyan A, Dhirendra Nath Thatoi, Deepak Gupta, Alireza kamranfar

“…The objective function, which includes power losses, voltage profile enhancement, and related costs, is optimized through the Multi-Objective Particle Swarm Optimization (MOPSO) method. …”
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Metal-polymer platinum nanocomposites for electrochemical conversion of hydrogen fuels in chemical power sources by M. V. Lebedeva, N. A. Yashtulov, N. E. Minina, B. A. Belyaev

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Research on Time Series Interpolation and Reconstruction of Multi-Source Remote Sensing AOD Product Data Using Machine Learning Methods by Huifang Wang, Min Wang, Pan Jiang, Fanshu Ma, Yanhu Gao, Xinchen Gu, Qingzu Luan

“…This study aims to develop a high-precision method to fill spatial AOD missing values and generate daily full-coverage AOD products for the Beijing–Tianjin–Hebei region in 2021 by integrating multi-dimensional data, including meteorological models, multi-source remote sensing, surface conditions, and nighttime light parameters, and applying machine learning methods. …”
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Impact of the Spatiotemporal Relationship Between Blast Source and Protected Area on Wave Arrival Sequence and Vibration Control Methods in Bench Blasting by Sijie Wang, Haojun Wu, Min Gong, Xiaodong Wu

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Optimally and Independent Planned Microgrid with Solar-Wind and Biogas Hybrid Renewable Systems by HOMER by Mostafa Eidiani, Somayeh Mahnani

“…In this study, the amount of power exchange of sources in a microgrid independent of the distribution network and power distribution between resources and load supply have been simulated in the HOMER environment, and the output results show the optimization of power management in this network. …”
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Optimizing K-Means Algorithm Using the Purity Method for Clustering Oil Palm Producing Regions by Novia Hasdyna, Rozzi Kesuma Dinata, Balqis Yafis

“…This study examines two clustering techniques: the conventional K-Means algorithm and an optimized version, Purity K-Means. Integrating the Purity method increases K-Means' efficiency by decreasing the required convergence iteration. …”
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Optimal allocation of STATCOM for multi-objective ORPD problem on thermal wind solar hydro scheduling using driving training based optimization by Tushnik Sarkar, Sabyasachi Gupta, Chandan Paul, Susanta Dutta, Provas Kumar Roy, Anagha Bhattacharya, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad

“…The Driving Training Based Optimization (DTBO) method has been used to achieve the goals, and its performance has been compared to that of other optimization algorithms that have been reported in recent ORPD studies. …”
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Multi-objective coordinated control and optimization for photovoltaic microgrid scheduling by Da Yu, Kai Hou, Xu Lin, Guoyang Cai, Xin Shan, Weihua Wang

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Evaluation of the impact of the distance determination function on the results of optimization of the geographical placement of renewable energy sources-based generation using a... by Andrei M. Bramm, Stanislav A. Eroshenko

“…Various metaheuristic methods are used to solve the task of optimal renewable energy sources-based generation geographical placement. …”
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Optimal frequency of temperature change of a heat transfer agent on a heat source and the influence of the rate of change thereof on heat energy loss by I. G. Akhmetova, K. V. Lapin

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Construction method of double unicast network coding by Baoxing PU, Zhiyi MO

“…In order to use network coding technology for data transmission in double unicast network,a construction method of double unicast network coding was proposed.The pre-coding strategy was implemented at each source node,the random linear network coding combined to the multi-objective optimization evolutionary algorithm was adopted to design the local coding vector of each channel.At the each sink node,the base vector of zero space of matrix was used to eliminate some information interference,and then the two-level pre-coding strategy was used to control the transmission rate at source.Thus,each sink node could be decoded successfully.With the proposed method,the approximate reachable information rate region of double unicast network coding could be determined and the transmission scheme for each vector in the reachable information rate region could be designed.Theoretical derivation and simulation calculation show the effectiveness of the proposed method.…”
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Integrated computational and experimental evaluation of thermal optimization in energy pile groups in soft clay by Thiti Chanchayanon, Susit Chaiprakaikeow, Apiniti Jotisankasa, Shinya Inazumi

“…Energy piles, combining building foundations with ground source heat pump (GSHP) systems, offer a sustainable thermal solution for urban buildings. …”
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Optimization of Almond Beverage Enriched with Omega-3 Fatty Acids by Adding Brown Flaxseeds (Linum usitatissimum L.) Using D-Optimal Mixing Diagram Method by Zeinab El Hajj Hussein, Jiuliane Martins Silva, Matheus Campos Castro, Nathalia Elias Borges, Bruno Henrique Figueiredo Saqueti

“…Following preliminary tests, the beverage was optimized using the mixing method to determine the ideal proportions of the ingredients. …”
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EISPY2D: An Open-Source Python Library for the Development and Comparison of Algorithms in Two-Dimensional Electromagnetic Inverse Scattering Problems by Andre Costa Batista, Ricardo Adriano, Lucas S. Batista

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SOME ASPECTS OF OPTIMIZATION PROBLEMS IN CALCULATION OF AUTONOMOUS MICROGRID SYSTEMS by D. Kugucheva, M. Kharitonov

“…The reliability and economic efficiency of power supply systems for isolated areas depends on the choice of sources and methods of generating electricity. The article explores the topical issue of autonomous microgrid systems design based on renewable energy sources. …”
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Multi-objective optimization models for power load balancing in distributed energy systems by Zhuo Wang, Yuchen Luo, Wei Wu, Lei Cao, Zhun Li

“…In order to address a multi-objective optimization (MOCO) issue, the model that was built relies on a MOCO method. …”
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Information Diffusion Interpolation Model Based on the PSO-CV Algorithm and Its Application on Source Regions of the Yellow River by HUANG Huaping, YIN Kaixia, JIN Gaoyang

“…The spatial interpolation based on the limited observation data of precipitation stations is an effective means to explore the spatial characteristics of precipitation.This paper briefly introduces a spatial interpolation model based on the information diffusion theory,proposes an optimal information diffusion interpolation model based on particle swarm optimization (PSO) and cross-validation (CV) with consideration of the disadvantages on key parameter estimation of existing experience information diffusion interpolation model,and evaluates the interpolation effect of the information diffusion interpolation model in terms of four time scales of year,quarter,month and day with inverse distance weighting,ordinary kriging method,universal kriging method and co-kriging method considering the elevation as comparison,taking the source regions of the Yellow River as an example.The results show that overall,the optimal information diffusion interpolation model has the highest accuracy,while the inverse distance weighting has the lowest accuracy.The accuracy of experience information diffusion interpolation model does not differ much from the other three spatial interpolation methods,and the accuracy differences between different methods decrease as the time scale decreases.…”
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A Feasibility Study of a Virtual Power Line Device to Improve Hosting Capacity in Renewable Energy Sources by Seong-Eun Rho, Sung-Moon Choi, Joong-Seon Lee, Hyun-Sang You, Seung-Ho Lee, Dae-Seok Rho

“…In order to overcome these problems, this paper presents an introduction model and optimal capacity algorithm of a VPL (virtual power line) device, which is a virtual power line operation technology to manage the power system by operating an ESS installed at the coupling point of renewable energy source without additionally expanding the power system infrastructure in a conventional way; this paper also proposes an economic evaluation method to assess the feasibility of the VPL device. …”
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Prediction Method of Lithology Log Based on XGBoost Algorithm by CHU Qingjun, GE Yunlong, TONG Maosong, WANG Yan, AN Lyuxing, YU Chuanwu, JIA Xin

“…The learning samples are constructed using the 2 energy window count rates of the near-source detector and the 3 energy window count rates of the far-source detector of a dual-detector lithology density logging instrument. …”
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