Optimal Configuration Model of Photovoltaic and Energy Storage Joint System Considering Coordination of Multiple Transaction Scenarios by CHEN Kun, SHANG Long-long, LUO Jin-ge

“…The coordination and optimization in multiple scenarios brings new challenges to the power market transaction. …”
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Optimal location and size of electric vehicle charging and discharging stations in distribution networks with integrated distributed generations by Minh Thien Vo, Thi Lan Anh Tran, Quang Ai Nguyen, Trung Khanh Tran, Ngoc Dieu Vo

“…In this study, we propose a computational model to determine the optimal location and size of EVCS applying V2G technique in a distribution network integrating distributed generation sources (DG) with the goal of minimizing active power loss, using an improved method combining the firefly algorithm with the quantum-inspired evolutionary algorithm (QBFA) to find solutions for the problem. …”
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Optimal location and size of electric vehicle charging and discharging stations in distribution networks with integrated distributed generations by Minh Thien Vo, Thi Lan Anh Tran, Quang Ai Nguyen, Trung Khanh Tran, Ngoc Dieu Vo

“…In this study, we propose a computational model to determine the optimal location and size of EVCS applying V2G technique in a distribution network integrating distributed generation sources (DG) with the goal of minimizing active power loss, using an improved method combining the firefly algorithm with the quantum-inspired evolutionary algorithm (QBFA) to find solutions for the problem. …”
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Cultural Heritage Color Regeneration: Interactive Genetic Algorithm Optimization Based on Color Network and Harmony Models by Zhonghua Jiang, Qianlong Xia, Zhizhou Wang, Kaiwei Zhu, Qianyu Su, Jiajun Wang, Yirui Huang, Bo Wu, Yan Hong

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Short-Term Prediction of Ship Heave Motion Using a PSO-Optimized CNN-LSTM Model by Guowei Li, Gang Tang, Jingyu Zhang, Qun Sun, Xiangjun Liu

“…This paper presents a prediction method of ship heave motion based on the particle swarm optimization (PSO) and convolutional neural network–long short-term memory (CNN-LSTM) hybrid prediction model. …”
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Optimizing irrigation and nitrogen fertilization for winter wheat using the AquaCrop model and water footprint analysis by JIA Yifan, WANG Hao, HAN Ce, XU Zhenghe, LIU Yuyu

“…This paper presents a method for optimizing irri-gation strategies for winter wheat production under varying nitrogen application rates in different hydrological years using the AquaCrop model. …”
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Biomanager Optimization Model for Enhancing Biogas Production from Cattle Farming in a Circular Economy System by Santiago Alexander Guamán Rivera, José Miguel Mira Naranjo, José Miguel Mira Naranjo

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Improving and simulating urban landscape image recognition using combination optimization and fuzzy K-means algorithm by Lihua Yang, Yuhui Zheng

“…The research introduces a novel method combining a Combination Optimization (CO) strategy with a Fuzzy K-Means (FKM) clustering algorithm to address the challenges and achieve superior urban data analysis performance. …”
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Potential accuracy of quasi-optimal radar meters of angular coordinates with scanning multi-channel antenna system by S. V. Kozlov, Vu Thanh Ha

“…In case of large correlation intervals, the distribution significantly differs from normal and acquires a large positive kurtosis and asymmetry with their values depending on the angular differences of the interference source and the target. The obtained expressions can be used to evaluate the effectiveness of quasi-optimal radar meters in the conditions of external interference and in the complex modeling of radar facilities with such meters included.…”
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Modeling and Simulation of Insulin Pump Set Failures Based on the Power Flow Method by Weijie Wang, Dinghui Guo, Long Quan, Shiwei Liu

“…Findings reveal that leakage faults closer to the flow source significantly reduce the output flow rate and chamber pressure. …”
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Estimating the travel distance of channelized rock avalanches using genetic programming method by Zhang Yong, Wang Tao, Deng Mingfeng, Chen Ningsheng

“…Considering the advantages of machine learning in data processing, 49 channelized rock avalanche events and three machine learning methods (genetic programming (GP), support vector machine (SVM), and multilayer perceptron (MLP)) were selected for model optimization and establishment. …”
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Fusion PSPnet Image Segmentation Based Method for Multi-Focus Image Fusion by Jingchun Zhou, Mingliang Hao, Dehuan Zhang, Peiyu Zou, Weishi Zhang

“…A novel image segmentation method for multi-focus image fusion is proposed. This method consists of two main steps, using PSPnet combined, and the region optimization using ConvCRFs for multi-focus image fusion. …”
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Multi-Objective Optimization for Volt-Var Parameter Tuning: Reducing Losses and Voltage Unbalance in Distribution Systems by Arthur E. S. Ribeiro, Francisco C. R. Coelho, Wesley Peres

“…The proposed method jointly optimizes the active power output of dispatchable DG units and the Volt-Var control parameters of photovoltaic (PV) inverters to minimize power losses and voltage unbalance, ensuring compliance with the 2% limit set by Brazilian regulations. …”
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Effective Customization of Evolutionary Algorithm-Based Energy Management System Optimization for Improved Battery Management in Microgrids by Alessandro Niccolai, Silvia Trimarchi, Lisa Francesca Barbazza, Alessandro Gandelli, Riccardo Zich, Francesco Grimaccia, Sonia Leva

“…The growing penetration of renewable energy sources into electricity grids, along with the problems linked to the electrification of rural areas, has drawn more attention to the development of microgrids. …”
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Cultivation Optimization and Structural Characterization of <i>Stephanocyclus meneghinianus</i> for Sustainable High-Quality Biosilica Production by Daeryul Kwon, Yoseph Seo, Chaehong Park, Sang Deuk Lee, Taek Lee

“…This study investigates the potential use of the freshwater centric diatom <i>Stephanocyclus meneghinianus</i> as a sustainable source of high-purity biosilica. We analyzed its morphology, microstructure, and optimal culture conditions, and developed a pretreatment method to recover intact biosilica frustules. …”
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Development of Sour Flavored Noni Juice Using Lactic Acid Compound as a Fermentation Media and Optimation by Jakfar Jakfar*, Husni Husin, Fahrizal Nasution, Ahmadi Ahmadi

“…The focus of this research is to optimize the effects of various concentrates of Aceh noni X1 (10–20 ml), lactose from UHT (ultra-high temperature) milk, and Yakult as a source of Lactobacillus casei X2 (10–25 ml) and X3 (2.5–10 ml). …”
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Screening and Optimization of L-Methioninase Production by Gram-Negative Bacteria from Various Hospitals in Baghdad City by Zahraa Mohammed Wahib, Sahira Nsayef Muslim, Farha A. Ali Shafi

“…L-methioninase had received a lot of interest for its importance, so to improve the production of L-methioninase, media optimization was done. In this study, clinical isolates of gram-negative bacteria have been collected from several hospitals located in Baghdad city, these isolates were Escherichia coli, Pseudomonas aeruginosa, Klebsiella pneumoniae, Acinetobacter baumannii and Serratia marcescens. …”
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Optimizing Artificial Neural Network Learning Using Improved Reinforcement Learning in Artificial Bee Colony Algorithm by Taninnuch Lamjiak, Booncharoen Sirinaovakul, Siriwan Kornthongnimit, Jumpol Polvichai, Aysha Sohail

“…Artificial neural networks (ANNs) are widely used machine learning techniques with applications in various fields. Heuristic search optimization methods are typically used to minimize the loss function in ANNs. …”
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Research on TOC Log Evaluation Method Based on PCA-BP Neural Network by SHANG Yazhou, XU Duonian, ZHANG Zhaohui, LIU Jianyu, ZHAO Wenwen

“…The method is based on the weighted average of sensitive logging curves and TOC test results as the original data set. …”
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EOR: An Enhanced Object Registration Method for Visual Images and High-Definition Maps by Nian Hui, Zijie Jiang, Zhongliang Cai, Shen Ying

“…In this paper, we propose an innovative method called enhanced object registration (EOR) to improve the accuracy and robustness of object registration between camera images and HD maps. …”
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