Optimization of energy tunnel heat extraction section design based on simulated annealing algorithm by LIU Jiaxin, HAN Chanjuan, CAI Guoqing

“…It is necessary to develop a convenient and reliable method to assist energy tunnel design. To address this problem，an optimization framework is developed to guide the heat extraction section design of energy tunnel in the severe cold region based on numerical simulation and simulated annealing algorithm. …”
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Aggregator Design for Optimal Management of Charging and Discharging of Electric Vehicles in the Smart Grid Context by Reza Eslami

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Optimal Power Procurement for Green Cellular Wireless Networks Under Uncertainty and Chance Constraints by Nadhir Ben Rached, Shyam Mohan Subbiah Pillai, Raúl Tempone

“…Given the increasing global emphasis on sustainable energy usage and the rising energy demands of cellular wireless networks, this work seeks an optimal short-term, continuous-time power-procurement schedule to minimize operating expenditure and the carbon footprint of cellular wireless networks equipped with energy-storage capacity, and hybrid energy systems comprising uncertain renewable energy sources. …”
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Analysis and Optimization of Micro Speaker-Box Using a Passive Radiator in Portable Device by Yuan-Wu JIANG, Joong-Hak KWON, Hyung-Kyu KIM, Sang-Moon HWANG

“…The Finite Element Method (FEM), two-degree-of-freedom (DOF) vibration theory, and a plane circular piston sound source were used to study the electromagnetic, vibration, and acoustic characteristics, respectively. …”
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SCSO: snake optimization with sine-cosine algorithm for parameter extraction of solar photovoltaic models by Qingrui Li, Yongquan Zhou, Qifang Luo

“…The proposed algorithm incorporates three key improvements: (1) integration of the Sine–Cosine Algorithm to enhance the bio-inspired Snake Optimization, balancing exploration and exploitation; (2)The parameters C 1 and C 2 are adaptively adjusted, and the Newton–Raphson method is introduced to accelerate the algorithm’s convergence speed which accelerates convergence; and (3) application of a lens imaging reverse learning strategy to improve exploration capabilities and population diversity, preventing the algorithm from becoming trapped in local optima. …”
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Parameter Estimation for Coupled Hydromechanical Simulation of Dynamic Compaction Based on Pareto Multiobjective Optimization by Wei Wang, Lu-Lu Zhang, Jin-Jian Chen, Jian-Hua Wang

“…This paper presented a parameter estimation method based on a coupled hydromechanical model of dynamic compaction and the Pareto multiobjective optimization technique. …”
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A novel framework for optimizing residential load response planning with consideration of user satisfaction by Mohammad Hossein Erfani Majd, Gholam-Reza Kamyab, Saeed Balochian

“…The primary objective is to minimize electricity costs while ensuring efficient use of renewable energy resources. The proposed method utilizes the Meerkat Optimization Algorithm (MOA), which is compared against other optimization algorithms, including Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Teaching-Learning-Based Optimization (TLBO). …”
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Research on the optimal operation of a prosumer micro energy network centred on data centres by Yuanshi Zhang, Yiwu Ge, Shunjiang Wang, Weiqi Pan, Yiwen Feng, Peng Qiu

“…By considering data interaction and power sharing among multiple micro‐energy networks, the alternating direction method of multipliers algorithm is used to solve the system‐distributed optimization problem in two stages. …”
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Load Frequency Control Based on Gray Wolf Optimizer Algorithm for Modern Power Systems by Dao Huy Tuan, Dao Trong Tran, Van Nguyen Ngoc Thanh, Van Van Huynh

“…The results demonstrate significant improvements in frequency stabilization, reduced oscillations and enhanced steady-state accuracy compared to traditional optimization techniques. This study emphasizes the scalability and adaptability of the proposed method to changing load conditions and complexity of the MPSs, providing a potential solution to ensure stability and reliability for the MPSs.…”
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A hybrid modeling framework for groundwater contamination risk: Optimized AHP-DRASTIC and BME by Muyuan Lu, Yuan Liu, Guijian Liu, Guanyu Wang, Yongli Li, Peiwei Sun

“…The assessment of groundwater contamination risk is crucial, especially in regions like northern Anhui, where complex geological conditions and limited groundwater sources coexist. This study proposes a cost-effective approach integrating groundwater vulnerability and functional value to evaluate contamination risk. …”
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An incremental data-driven approach for carbon emission prediction and optimization of heat treatment processes by Qian Yi, Xin Wu, Junkang Zhuo, Congbo Li, Chuanjiang Li, Huajun Cao

“…In manufacturing enterprises, the variety of heat treatment processes, insufficient data in the early stages of production, and the continuous increase of samples over time make it difficult to predict and optimize carbon emissions dynamically. Therefore, this paper proposes a low-carbon optimization method for heat treatment processes based on incremental data-driven approaches. …”
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Construction of and Low-Carbon Optimization Strategies for Block-Level Carbon Emission Control Unit by Wenjie LI, Yingsheng ZHENG, Qingfang ZHANG, Qiuyun ZENG

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Screening and identification of marine alginate lyase-producing bacteria and optimization of enzyme production conditions by HU Mengdi, LI Yaozu, ZHANG Xiaoyong, MO Meiqing, GAO Xiangyang

“…Using sodium alginate as the sole carbon source, a strain with high-yield alginate lyase from 56 strains of marine bacteria was screened using primary screening by transparent circle method and rescreening for enzyme activity determination by 3,5-dinitrosalicylic acid (DNS) method. …”
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Wind energy resource assessment based on joint wolf pack intelligent optimization algorithm. by Jiayuan Wang

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Impact of Shared Bus on Campus Travel and Space Optimization Based on Activity Travel Behavior by Qiong Chen, Hong Zhang, Jianbiao Wang, Hongyu Ye, Zhaoming Chu, Bixia Lou, Dawei Li

“…Finally, according to the analysis of modeling results, the impact of shared traffic on campus travel is analyzed, and the optimal design scheme of campus space is given. This paper uses the survey method based on declarative preference SP and the survey method based on explicit preference (RP) to get the actual and hypothetical travel response of travelers, which improves the data richness.…”
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APPLICATION OF MATHEMATICAL MODELING OF THE AIRCRAFT STRUCTURES STRESS STATE TO OPTIMIZE CORROSION DAMAGE REMOVAL by D. P. Saidzhanov, V. V. Efimov

“…However, it is impossible to refuse the removal of corrosion damage, but it is possible to optimize the stripping area parameters. The purpose of this paper is to solve the problem by applying mathematical modeling of the aircraft structures stress state by using open source software based on a finite element method (FEM). …”
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Sunflower-based butterfly optimization algorithm with enhanced RNN for the harmonics elimination in multilevel inverter by V. Mohan, G. Krithiga, M. Thamil Alagan, V. Sathya

“…In this paper, the Sunflower based– Butterfly Optimization Algorithm (SF-BOA) is presented as a method for evaluating transcendental nonlinear equations using an MLI in a SHE approaches. …”
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Optimized workflow for behavior-coupled fiber photometry experiment: improved data navigation and accessibility by Anna Athanassi, Amaury François, Emmanuel Bourinet, Marc Thevenet, Nathalie Mandairon

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Optimization of the encapsulation of arazá pulp by spray drying: Physicochemical, morphological and in vitro digestion studies by Greilis Quintero-Gamero, Francis S. Sánchez-Garzón, Aureliano Rodríguez-Cortina, María Hernández-Carrión, Luz Stella Nerio

“…This study presents an optimized method to obtain microencapsulates from arazá pulp (not obtained before), with a great potential for the development of functional foods.…”
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A critical review on purification methods and applications of marine algal haloperoxidases by Abdellatif Rahim, Rania Benjamaa, Abdel Khalid Essamadi, Abdelbasset Chafik

“…Marine algae are a rich and underexplored source of haloperoxidases, enzymes with wide ranging applications in biocatalysis, pharmaceuticals, and environmental bioremediation due to their ability to catalyze the halogenation of organic compounds. …”
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