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genetic algorithm-optimized artificial neural network for multi-objective optimization of biomass and exopolysaccharide production by Haloferax mediterranei

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BIOPROCESS AND BIOSYSTEMS ENGINEERING 2025年第5期48卷 785-798页

作者： Al Rawahi, Alaa M. Zafar, Mohd. Khan, Taqi Ahmed Al Araimi, Sara Mahanty, Biswanath Behera, Shishir Kumar Univ Technol & Appl Sci Sur Coll Appl Sci & Pharm Dept Appl Biotechnol Sur Oman Karunya Inst Technol & Sci Div Biotechnol Coimbatore 641114 Tamil Nadu India Vellore Inst Technol Sch Chem Engn Ind Ecol Res Grp Vellore 632014 Tamil Nadu India

Microbial production of industrially important exopolysaccharide (EPS) from extremophiles has several advantages. In this study, key media components (i.e., sucrose, yeast extract, and urea) were optimized for biomass growth and extracellular EPS production in Haloferax mediterranei DSM 1411 using Box-Behnken design. In a multi-objective optimization framework, response surface methodology (RSM) and genetic algorithm (GA)-optimized artificial neural network (ANN) were used to minimize biomass growth while increasing EPS production. The performance of the selected ANN model for the prediction of biomass and EPS (R-2: 0.964 and 0.975, respectively) was found to be better than that of the multiple regression model (R-2: 0.818, 0.963, respectively). The main effect of sucrose and its interaction with urea appears to have a significant effect on both responses. The ANN model projects an increase in EPS production from 4.49 to 18.2 g l(-1) while shifting the priority from biomass to biopolymer. The optimized condition predicted a maximum biomass and EPS production of 17.27 g l(-1) and 17.80 g l(-1), respectively, at concentrations of sucrose (19.98 g l(-1)), yeast extract (1.97 g l(-1)), and urea (1.99 g l(-1)). Based on multi-objective optimization, the GA-ANN model predicted an increase in the EPS to biomass ratio for increasing the EPS and associated biomass production. The extracted EPS, identified as Gellan gum through NMR spectroscopy, was further characterized for surface and elemental composition using SEM-EDX analysis.

关键词： Box-Behnken design Composite desirability Gellan gum genetic algorithm Multi-objective optimization

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genetic algorithm-Based Acoustic Array Optimization for Estimating UAV DOA Using Beamforming

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DRONES 2025年第2期9卷

作者： Itare, Nathan Thomas, Jean-Hugh Raoof, Kosai Le Mans Univ LAUM Inst Acoust IA CNRS UMR 6613Lab AcoustGrad Sch GS F-72085 Le Mans France

The localization of unmanned aerial vehicles is an important topic due to several threats near sensitive sites. Localization based on their sounds has been a particular point of interest in past studies for many years. It requires the use of a microphone array. The positioning of the various microphones making up an antenna defines the intrinsic directivity of the array. In this study, a genetic algorithm is used to determine the microphone positions that optimize directivity in a focus direction and for a frequency, by favoring the narrowness of the main lobe and the reduction of the secondary lobes. The optimization leads to several antennas with a 3D structure similar to that designed in a previous study. A method estimating the direction of arrival of a drone was also presented in that study making use of its acoustic signature to enhance the signal-to-noise ratio and thus improving the estimations. In this paper, an improvement to the method is proposed for tracking the drone's trajectory. Measurements were conducted to compare the drone locations given by the first designed antenna and the one optimized by the genetic algorithm. Performance on the direction of arrival found is characterized in terms of mean error, standard deviation and root mean square error relative to the GPS reference onboard the UAV. An experiment with the optimized antenna has also been conducted with the drone at a great distance to the antenna to characterize the maximal distance for possible estimations of the direction of arrival. Results show that the method used for the direction of arrival estimation can give a mean error below 10 degrees in azimuth and 5 degrees in elevation. The maximum distance between the antenna and the drone for which the method is able to give estimations is between 240 and 340 m.

关键词： acoustic direction of arrival beamforming microphone array genetic algorithm time-frequency representation experiments

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genetic algorithm to Obtain Accurate Force Constants in Graphene

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ADVANCED THEORY AND SIMULATIONS 2025年

作者： Liu, Wenjing Xu, Jinrong Gong, Shulei Huang, Wenrui Hao, Jiahui Yu, Jiangying Huang, Kai Wang, Ying Anhui Jianzhu Univ Sch Math & Phys Hefei 230601 Peoples R China Chinese Acad Sci Inst Plasma Phys Hefei Inst Phys Sci Hefei 230031 Peoples R China Univ Sci & Technol China Hefei 230026 Peoples R China

As fundamental quantum mechanical descriptors of crystalline lattice vibrational properties, phonons play a critical role in determining numerous macroscopic physical characteristics spanning thermal transport behavior and thermodynamic response functions. The precise determination of complete phonon spectra and their corresponding interatomic force constants continues to present substantial computational challenges, particularly in architecturally complex material systems. In this study, using graphene as a prototypical system, theoretical derivation of the phonon dispersion relations is presented through rigorous lattice dynamics formalism. The first- through eighth-nearest-neighbor force constants in the dynamical matrix are systematically determined via a self-consistent iterative genetic algorithm optimization framework. These derived parameters are further systematically validated through density functional theory simulations. The optimized interatomic force constants demonstrate remarkable fidelity in reproducing both the acoustic and optical phonon branches across the entire Brillouin zone, thereby establishing a comprehensive theoretical foundation for predictive calculations of temperature-dependent thermodynamic properties. The developed genetic algorithm optimization methodology shows significant transferability to diverse material systems, enabling precise alignment with inelastic neutron scattering and Raman spectroscopy measurements. This advancement provides a generalized computational tool for investigating lattice dynamics in complex material systems.

关键词： dynamic matrix first-principles calculations genetic algorithm graphene

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genetic algorithm-Based Weighted Constraint Target Band Selection for Hyperspectral Target Detection

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REMOTE SENSING 2025年第4期17卷

作者： Chen, Wenbin Zhi, Xiyang Hu, Jianming Yu, Lijian Han, Qichao Zhang, Wei Harbin Inst Technol Res Ctr Space Opt Engn Harbin 150001 Peoples R China

Hyperspectral imaging (HSI) data pose both opportunities and challenges for target detection due to the high spectral resolution and vast data volume. Traditional band selection methods for HSI often prioritize image quality or information content, neglecting target distinctiveness in specific detection tasks. To address this issue, this work proposes a novel band selection method, genetic algorithm-based weighted constraint target band selection (GA-WCTBS), which utilizes an improved genetic algorithm to optimize band subsets for small target detection. GA-WCTBS prioritizes target distinctiveness and background clutter fluctuations by a proposed spectral signal-to-clutter ratio (SCR) inspired by the constraint target method, even in bands with lower image quality. It employs a genetic algorithm to consider the combinatorial potential of bands for optimal detection. Additionally, a k-means and weight assignment strategy improves the background estimation for selecting a band subset with better clutter suppression capability. Experiments on widely used public ABU and AVIRIS datasets demonstrate that the band subset selected by GA-WCTBS significantly outperforms the existing methods in terms of detection capability.

关键词： band selection target detection genetic algorithm hyperspectral image remote sensing

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genetic algorithm-enhanced Housner intensity measure for seismic vulnerability analysis of reinforced concrete column-steel beam (RCS) frame structure

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SOIL DYNAMICS AND EARTHQUAKE ENGINEERING 2025年 193卷

作者： Zhang, Yantai Xia, Binjie Guo, Xiang Sun, Baoyin Hu, Die Wei, Yang Nanjing Forestry Univ Coll Civil Engn Nanjing 210037 Peoples R China Changzhou Univ Sch Urban Construct Changzhou 213164 Peoples R China Hohai Univ Coll Civil & Transportat Engn Nanjing 210098 Peoples R China

Efficient ground motion intensity measures can significantly reduce the variability in predicting structural response, making the selection of appropriate measures a critical step in seismic vulnerability analysis. This study conducts vulnerability analyses on a six-story reinforced concrete column-steel beam (RCS) frame under three damage limit states: immediate occupancy (IO), life safety (LS), and collapse prevention (CP). The structural model is developed in the open-source software OpenSees, simulating both shear deformation and vertical bearing failure at beam-column joints. To account for the characteristics of seismic motions, two sets of ground motions-far-field and near-field-are selected. The efficiency of 22 chosen intensity measures (IMs) is evaluated and compared using the log-normal standard deviation beta RTR in vulnerability analysis. Results indicate that velocity-related measures, specifically Housner Intensity (HI) and Velocity Spectrum Intensity (VSI), perform well. To further enhance the HI measure's effectiveness across damage states, an optimized ground motion intensity measure, HIIMP, is proposed using the global optimization capabilities of a genetic algorithm (GA). As the damage limit state deepens, the proposed HIIMP measure achieves higher upper integration limits, increasing the influence of the softening period. Finally, the applicability of HIIMP to RCS structures is demonstrated from the perspectives of sufficiency and scaling robustness.

关键词： RCS frame structure Intensity measure Vulnerability analysis Multiple stripes analysis Beam-column joints genetic algorithm Housner intensity

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genetic algorithm-Optimized Diode-Based Temperature Control Actuation System

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IEEE ACCESS 2025年 13卷 52889-52900页

作者： Huang, Yajie Zhang, Donglai Zhu, Xueli Li, Anshou Wang, Yi Harbin Inst Technol Shenzhen Power Elect Drive Res Ctr Shenzhen 518055 Peoples R China Peng Cheng Lab Dept Strateg & Adv Interdisciplinary Res Shenzhen 518000 Peoples R China

The temperature control of silicon diodes as actuators was studied from both theoretical and experimental perspectives. genetic algorithms were employed to optimize diode distributions for effective temperature regulation. Temperature fluctuations can significantly affect the performance of high-precision electronic equipment, necessitating robust temperature control methods. By integrating series diodes into the temperature control system alongside the traditional proportional-integral-differential (PID) control mode, precise regulation of high-precision component temperatures in power supplies was achieved. The diodes' minimal voltage variation ensures linear power and current characteristics, enabling effective temperature rise control through current adjustments and mitigating temperature overshoot issues. Diodes also offer advantages such as ease of installation and high safety margins against open circuits. Simulation-validated optimization of diode positions using genetic algorithms demonstrated their effectiveness in achieving optimal configurations through selection, crossover, and mutation operations. This approach not only reduces the number of diodes but also meets diverse temperature control requirements, enhancing system responsiveness and power output stability. The study underscores the potential of diodes as temperature control actuators, particularly in regulating high-precision power components in power supplies.

关键词： Temperature control Heating systems genetic algorithms Actuators Temperature measurement Schottky diodes Thermal stability Temperature sensors PD control Circuits Diode temperature stability genetic algorithm

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genetic algorithm-based structural optimization of foldable OLED panels

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JOURNAL OF THE SOCIETY FOR INFORMATION DISPLAY 2025年第4期33卷 255-262页

作者： Feng, Qibin Zheng, Chen Dong, Zhe Guo, Yusong Wang, Zi Lv, Guoqiang Hefei Univ Technol Special Display & Imaging Technol Innovat Ctr Anhu Natl Engn Lab Special Display Technol Hefei 230009 Peoples R China

OLEDs are playing an important role in flexible displays, smart wearable, in-vehicle displays, and other fields. Foldable OLED panels consist of multiple layers of film. To ensure the reliability, some key films such as the OLED should be placed on the neutral plane, which is usually achieved by adjusting the thickness of each layer. In this paper, genetic algorithm is introduced to find the optimum configurations of the thickness of each layer. Based on the mathematical express of the stress happening on each film when an OLED panel is folded, the objective function can be defined and the optical thicknesses of some layers can be got. The simulation results show that with such optical thickness configuration, the stresses on key films can effectively reduce. The method proposed in the paper can help improve the folding performance of a foldable OLED panel.

关键词： foldable OLED genetic algorithm neutral plane stress structural optimization

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genetic algorithm designed multilayered Si3N4 nanowire membranes hybridized by dielectric wide-range tunable CVD graphene skin for broadband microwave absorption

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COMPOSITES PART B-ENGINEERING 2025年 297卷

作者： Liang, Jie Ye, Fang Song, Qiang Cao, Yuchen Xiao, Caixiang Qin, Yiming Lin, Yunzhou Huang, Bo Wang, Xiaoshuang Li, Chen Northwestern Polytech Univ State Key Lab Solidificat Proc Shaanxi Prov Key Lab Fiber Reinforced Light Compos Xian 710072 Peoples R China Northwestern Polytech Univ Sci & Technol Thermostructural Composite Mat Lab Xian 710072 Peoples R China

Nowadays, the dispersion characteristics limit the broadband performance of single-layer homogeneous absorbing materials. A multilayer impedance matching structure (MIMS) is capable of optimizing the impedance matching characteristics of the broadband electromagnetic wave (EMW), thereby broadening the effective absorption band (EAB). Consequently, the availability of a database with differentiated characteristics is a crucial prerequisite for the realization of MIMS design. Herein, graphene (Gr)-skinned Si3N4 nanowires were prepared via a chemical vapor deposition (CVD) process. Moreover, the formation of a strong interfacial polarization between Si3N4 and Gr can optimize the samples within the database. Furthermore, a wide-range of defect content (0.80-2.35 of ID/IG) and dielectric loss (0.03-1.5 of tans) modulation was achieved through the manipulation of the CVD deposition process. A two-layer structure with a thickness of only 5 mm was rapidly designed based on a wide-range modulation and genetic algorithm. This structure exhibited an EAB of up to 12.48 GHz according to measurement of arc method, which is a significant widening of 5.6 GHz compared to the EAB of the single-layer structure. The proposed integrated design of wide-range modulation of dielectric properties and intelligent optimization algorithm of macrostructure is expected to further broaden the EAB of dielectric absorbing materials and become a new design paradigm.

关键词： Electromagnetic wave absorption Interfacial polarization Graphene genetic algorithm Multilayer impedance matching structure

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genetic algorithm (GA)-backpropagation (BP) network approach for hardness prediction of austempered ductile iron (ADI)

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MATERIALS SCIENCE AND TECHNOLOGY 2025年第3期41卷 210-220页

作者： Li, Pengchun Du, Yuzhou Zhang, Min Yang, Qian Liu, Chen Wang, Xin Zhang, Ruochen Jiang, Bailing Xian Univ Technol Sch Mat Sci & Engn Xian 710048 Peoples R China

Hardness serves as a crucial indicator for assessing the success of quenching treatment in the steel and iron industry, impacting the processability and wear properties of materials. In the present study, a dataset comprising 125 hardness values of the QT500-7 sample subjected to various austempering heat treatment parameters was utilised to train a neural network model for predicting the hardness of austempered ductile iron (ADI). The established model based on a genetic algorithm and error backpropagation algorithm demonstrates high accuracy in predicting the hardness of ADI if given heat treatment parameters. The mean square error of the model was about 1.019, indicating the reliability and precision of the model in predicting the hardness of ADI based on the specified heat treatment parameters.

关键词： Austempered ductile iron hardness backpropagation algorithm genetic algorithm prediction

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genetic algorithm-Based Approach for Improving Temporal Resolution in Constellation Operation of National Satellites

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INTERNATIONAL JOURNAL OF AERONAUTICAL AND SPACE SCIENCES 2025年第1期26卷 314-326页

作者： Jung, Insik Chung, Daewon Univ Sci & Technol Daejeon South Korea Korea Aerosp Res Inst Daejeon South Korea

The application of satellite information refers to the utilization of data generated by operational satellites that have been launched into orbit. Due to the recent rapid increase in the number of satellites in space, satellite information is growing exponentially. This growth underscores the necessity of finding effective ways to utilize this wealth of satellite data. In particular, it is anticipated that the number of individually developed national satellites will continue to rise, making it imperative to establish efficient methods for the fusion and application of satellite information through the configuration of satellite constellations and integrated operations of national satellites. In this paper, we propose a method to improve temporal resolution by employing a genetic algorithm for efficient fusion and application of satellite information. Additionally, we present a method for configuring national satellite constellations by adjusting the revisit times of operational satellites using the previously mentioned method. To mitigate the potential shortening of the lifespan of currently operational satellites due to fuel consumption, we altered the orbits of future satellites slated for launch. We also made adjustments to the Right Ascension of the Ascending Node (RAAN), a parameter that has minimal impact on payload. We conducted separate analyses for Electro Optical (EO) and Synthetic Aperture Radar (SAR) satellites, each with different imaging schedules. Our findings confirmed that it is possible to configure constellations of national satellites by modifying the revisit characteristics of both types of satellites.

关键词： genetic algorithm Temporal resolution Satellite constellation National satellite Satellite information Integrated operation

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