Multi-objective optimization and algorithmic evaluation for EMS in a HRES integrating PV, wind, and backup storage by Ahmed A. Shaier, Mahmoud M. Elymany, Mohamed A. Enany, Nadia A. Elsonbaty

“…The system uses a multi-objective optimization strategy to balance power management, aiming to minimize costs and reduce the likelihood of loss of power supply probability (LPSP). Seven different algorithms are assessed to identify the most efficient one for achieving these objectives, with the goal of selecting the algorithm that best balances cost efficiency and system performance. …”
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Enhanced framework embedded with data transformation and multi-objective feature selection algorithm for forecasting wind power by Yahya Z. Alharthi, Haruna Chiroma, Lubna A. Gabralla

“…Furthermore, the study offers valuable insights to guide research efforts in the future.…”
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Structural Damage Identification Using PID-Based Search Algorithm: A Control-Theory Inspired Application by Kuang Shi, Tingting Sun

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Fuzzy logic, genetic algorithms, and artificial neural networks applied to cognitive radio networks: A review by Ahmed Alkhayyat, Firas Abedi, Ashish Bagwari, Pooja Joshi, Haider Mahmood Jawad, Sarmad Nozad Mahmood, Yousif K Yousif

“…The purpose is to provide a single source of information in the form of a survey research to enable academics better understand how artificial intelligence methodologies, such as fuzzy logics, genetic algorithms, and artificial neural networks, are used to various cognitive radio systems. …”
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An improved fluid flow algorithm for hydraulic fracturing: Optimizing domain volume and crack pressure update strategies by Wei Zhang, Jing Bi, Yu Zhao, Yongfa Zhang, Chaolin Wang, Yang Pan

“…With the widespread adoption of hydraulic fracturing technology in oil and gas resource development, improving the accuracy and efficiency of fracturing simulations has become a critical research focus. This paper proposes an improved fluid flow algorithm, aiming to enhance the computational efficiency of hydraulic fracturing simulations while ensuring computational accuracy. …”
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Red Fox Optimization-Based Estimation Algorithms for Splitting Tensile Strength of Basalt Fiber Reinforced Concrete by Xiao Wu, Daoyong Zhu, Qin Yan

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A Water Quality Prediction Model Based on Long Short-Term Memory Networks and Optimization Algorithms by Aihua Yu, Qingjie Xiao

“…The Zhou River in Haihe River Basin will be the major research objective of this study, therefore, the monitoring data of four types of water quality factors collected from the Xitunqiao water quality monitoring section is considered as the data set. …”
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TF-IDF combined rank factor Naive Bayesian algorithm for intelligent language classification recommendation systems by Yonglian Luo, Cailin Lu

“…From the results, in the Gutenberg corpus, the research algorithm had the highest accuracy and completeness, with 98.5 % and 91.6 %, respectively, and the lowest values were 92.6 % and 89.4 %. …”
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Error Status Evaluation Method for Protection Measurement Circuit Based on Improved ED and CM-BPNN Algorithms by Yawen YI, Jingpu ZHAO, Can LIU, Xinxin JIANG, Fangjiu LI, Zhenxing LI

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An efficient attribute-based encryption scheme based on SM9 encryption algorithm for dispatching and control cloud by Honghan Ji, Hongjie Zhang, Lisong Shao, Debiao He, Min Luo

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Optimising the embodied carbon of laterally loaded piles using a genetic algorithm and finite element simulation by Kareem Abushama, Will Hawkins, Loizos Pelecanos, Tim Ibell

“…This paper, for the first time, minimises the embodied carbon of laterally-loaded piles using a hybrid genetic algorithm. The research is split into four stages. …”
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Cluster Partitioning Method for High-PV-Penetration Distribution Network Based on mGA-PSO Algorithm by Zhu Liu, Guowei Guo, Dehuang Gong, Lingfeng Xuan, Feiwu He, Xinglin Wan, Dongguo Zhou

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Application of an improved ant colony optimization algorithm of hybrid strategies using scheduling for patient management in hospitals by Md. Limonur Rahman Lingkon, Md. Sazol Ahmmed

“…To balance the convergence speed and solution diversity and enhance optimization performance when addressing large-scale optimization problems, this research study presents an improved ant colony optimization (ICMPACO) technique. …”
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The double-edged sword effect of algorithmic management on work engagement of platform workers: the roles of appraisals and resources by Feifei Li, Xiaohui Zhan, Yun Liu

“…PurposeThis study aims to explore how food delivery workers' perceptions of threat and challenge mediate the influence of algorithmic management on their work engagement, and to examine the moderating roles of emotional stability and perceived organizational support (POS) in this process.Design/methodology/approachThe present research conceptualized and validated a framework to investigate the double-edged sword influence of algorithmic management on work engagement, highlighting its potential to be both beneficial and detrimental. …”
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Improved Parallel Differential Evolution Algorithm with Small Population for Multi-Period Optimal Dispatch Problem of Microgrids by Tianle Li, Yifei Li, Fang Wang, Cheng Gong, Jingrui Zhang, Hao Ma

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An Improved Salp Swarm Algorithm for Solving a Multi-Temperature Joint Distribution Route Optimization Problem by Yimei Chang, Jiaqi Yu, Yang Wang, Xiaoling Xie

“…To solve this model, an improved salp swarm algorithm (SSA) has been developed. The feasibility and effectiveness of both the proposed model and algorithm are demonstrated using R110 data from the Solomon standard calculation example. …”
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Robust Automated Harmonization of Heterogeneous Data Through Ensemble Machine Learning: Algorithm Development and Validation Study by Doris Yang, Doudou Zhou, Steven Cai, Ziming Gan, Michael Pencina, Paul Avillach, Tianxi Cai, Chuan Hong

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Chaotic motion of charged test particles in a Kerr-MOG black hole with explicit symplectic algorithms by Zhenmeng Xu, Dazhu Ma, Wenfu Cao, Kai Li

“…Abstract The Kerr-MOG black hole has recently attracted significant research attention and has been extensively applied in various fields. …”
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A Hybrid ARO Algorithm and Key Point Retention Strategy Trajectory Optimization for UAV Path Planning by Bei Liu, Yuefeng Cai, Duantengchuan Li, Ke Lin, Guanghui Xu

“…Path planning is a fundamental research issue for enabling autonomous flight in unmanned aerial vehicles (UAVs). …”
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Mandibular condyle detection using deep learning and double attractor-based energy valley optimizer algorithm by Mohamed Abd Elaziz, Abdelghani Dahou, Mushira Dahaba, Dina Mohamed ElBeshlawy, Mohammed Azmi Al-Betar, Mohammed A. Al-qaness, Ahmed A. Ewees, Arwa Mousa

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