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Artykuły w czasopismach na temat „Balanced GA”

Autor: Grafiati

Data publikacji: 2 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

Wang, C., B. Yang, and H. Q. Wang. "Multi-Objective Master Production Schedule for Balanced Production of Manufacturers." International Journal of Simulation Modelling 19, no. 4 (2020): 678–88. http://dx.doi.org/10.2507/ijsimm19-4-co17.

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Focusing on the balanced use of production capacity in the formulation of master production schedule (MPS), this paper sets up a single-product, multi-stage, multi-objective MPS model based on balanced production. Whereas the model aims to achieve multiple objectives through nonlinear integer programming, a genetic algorithm based on automatic transformation (AT-GA) was designed to solve the model. Specifically, the chromosomes were encoded as integers to satisfy the model constraints; the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was adopted to handle the four no

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VUNDAVILLI, PANDU RANGA, SAMBIT KUMAR SAHU, and DILIP KUMAR PRATIHAR. "ONLINE DYNAMICALLY BALANCED ASCENDING AND DESCENDING GAIT GENERATIONS OF A BIPED ROBOT USING SOFT COMPUTING." International Journal of Humanoid Robotics 04, no. 04 (2007): 777–814. http://dx.doi.org/10.1142/s0219843607001254.

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In the present paper, two algorithms based on soft computing have been developed for dynamically balanced gait generations of a biped robot ascending and descending a staircase. The utility of the soft computing tools is best justified, when the data available for the problem to be solved are imprecise in nature, difficult to model and exhibit large-scale solution spaces. The problem of online gait generation of a biped robot exhibits such a complex phenomenon, and ultimately soft computing has become a natural choice for solving it. The gait generation problems of a biped robot have been solv

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3

Bala, Anju, and Priti. "Hybrid ACO-PSO-GA-DE Algorithm for Big Data Classification." International Journal of Recent Technology and Engineering (IJRTE) 8, no. 2 (2019): 703–8. http://dx.doi.org/10.35940/ijitee.b1708.078219.

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This paper designs a technique to classify big data efficiently. This work considers the processing of big data as an optimization problem due to the trade-off between accuracy and time and solves this optimization problem by using a meta-heuristic approach. The HAPGD (Hybrid ACO (Ant Colony Optimization), PSO (Particle Swarm Optimization), GA (Genetic Algorithm), and DE (Differential Evolution)) classification algorithm is designed by using the support vector machine (SVM) along with hybrid ACO-PSO-GA-DE algorithm that hybrids exploration capability of ACO with exploitation capability of PSO

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4

Kumar, Mohit, Dinesh Kumar, and Md Amir Khusru Akhtar. "A Modified GA-Based Load Balanced Clustering Algorithm for WSN." International Journal of Embedded and Real-Time Communication Systems 12, no. 1 (2021): 44–63. http://dx.doi.org/10.4018/ijertcs.20210101.oa3.

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The prevalent applications of WSN have fascinated a plethora of research efforts. Sensor nodes have serious limitations such as battery lifetime, memory constraints, and computational capabilities. Clustering is an important method for maximizing the network lifetime. In clustering, a network is divided into virtual groups, and CHs send their data to the BS either directly or using multi-hop routing. CHs are some special nodes having more energy than normal nodes. In fact, these special nodes are also battery operated and consequently power constrained; thus, they play a vital role in network

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5

Hom, Vincent, and Joe Marks. "Automatic Design of Balanced Board Games." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 3, no. 1 (2021): 25–30. http://dx.doi.org/10.1609/aiide.v3i1.18777.

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AI techniques are already widely used in game software to provide computer-controlled opponents for human players. However, game design is a more-challenging problem than game play. Designers typically expend great effort to ensure that their games are balanced and challenging. Dynamic game-balancing techniques have been developed to modify a game-engine&rsquo;s parameters in response to user play. In this paper we describe a first attempt at using AI techniques to design balanced board games like checkers and Go by modifying the rules of the game, not just the rule parameters. Our approac

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6

Jayswal, Anant Kumar. "Hybrid Load-Balanced Scheduling in Scalable Cloud Environment." International Journal of Information System Modeling and Design 11, no. 3 (2020): 62–78. http://dx.doi.org/10.4018/ijismd.2020070104.

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Cloud computing is a high computational distributed environment with high reliability and quality of service. It is playing an important role in the next generation of computing with pay per use model and high elasticity. With increased requirement for cloud resources, load over the cloud servers has increased, which makes cloud use a more efficient algorithm to maintain its performance and quality of service to users. The performance metrics that define the performance of task scheduling include execution time, finish time, scheduling time, task completion cost, and load balancing on each com

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7

Chai, Song, Yubai Li, Jian Wang, and Chang Wu. "A Genetic Algorithm for Task Scheduling on NoC Using FDH Cross Efficiency." Mathematical Problems in Engineering 2013 (2013): 1–16. http://dx.doi.org/10.1155/2013/708495.

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A CrosFDH-GA algorithm is proposed for the task scheduling problem on the NoC-based MPSoC regarding the multicriterion optimization. First of all, four common criterions, namely, makespan, data routing energy, average link load, and workload balance, are extracted from the task scheduling problem on NoC and are used to construct the DEA DMU model. Then the FDH analysis is applied to the problem, and a FDH cross efficiency formulation is derived for evaluating the relative advantage among schedule solutions. Finally, we introduce the DEA approach to the genetic algorithm and propose a CrosFDH-G

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8

ABO-HAMMOUR, ZÁER S., OTHMAN M. K. ALSMADI, and ADNAN M. AL-SMADI. "MULTI-TIME-SCALE SYSTEMS MODEL ORDER REDUCTION VIA GENETIC ALGORITHMS WITH EIGENVALUE PRESERVATION." Journal of Circuits, Systems and Computers 20, no. 07 (2011): 1403–18. http://dx.doi.org/10.1142/s0218126611007943.

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A novel substructure (dominant eigenvalue) preserving genetic algorithm approach for model order reduction (MOR) of multi-time-scale systems is presented in this paper. The new technique is formulated based on genetic algorithms (GAs), sub-optimization and estimation. The GA predicts the elements of an upper triangular matrix form of the system state matrix A, defined in state space representation along with the elements of B, C, and D matrices. The GA procedure is based on maximizing the fitness function corresponding to the reciprocal response deviation between the full order model and the r

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9

Ren, Jin Xia, and Hao Yang Guo. "Research on the Network Congestion Control Based on GA-PSO Path Optimization." Applied Mechanics and Materials 513-517 (February 2014): 675–78. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.675.

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Based on the integration of the genetic algorithm and particle swarm algorithm, a network congestion control method is proposed for path optimization, which takes the load balanced distribution function and the resource consumption function as optimization target and optimizes path under the condition of meeting a number of QoS metrics such as bandwidth, delay, expense. Aiming at avoidance of network congestion, the approach attempt to minimize the network resource consumption and balance the distribution of network load. Simulation results show that the method is effective and reliable.

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10

MADASAMY, Bhuvaneswari, and Paramasivan BALASUBRAMANIAM. "Enhanced Load Balanced Clustering Technique for VANET Using Location Aware Genetic Algorithm." Promet - Traffic&Transportation 34, no. 1 (2022): 39–52. http://dx.doi.org/10.7307/ptt.v34i1.3785.

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The vehicular Adhoc Network has unique charac-teristics of frequent topology changes, traffic rule-based node movement, and speculative travel pattern. It leads to stochastic unstable nature in forming clusters. The re-liable routing process and load balancing are essential to improve the network lifetime. Cluster formation is used to split the network topology into small structures. The reduced size network leads to accumulating the topology information quickly. Due to the absence of centralised management, there is a pitfall in network topology man-agement and optimal resource allocation, re

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11

Israeli, Alon, Yogev Burko, Sharona Shleizer-Burko, et al. "Coordinating the morphogenesis-differentiation balance by tweaking the cytokinin-gibberellin equilibrium." PLOS Genetics 17, no. 4 (2021): e1009537. http://dx.doi.org/10.1371/journal.pgen.1009537.

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Morphogenesis and differentiation are important stages in organ development and shape determination. However, how they are balanced and tuned during development is not fully understood. In the compound leaved tomato, an extended morphogenesis phase allows for the initiation of leaflets, resulting in the compound form. Maintaining a prolonged morphogenetic phase in early stages of compound-leaf development in tomato is dependent on delayed activity of several factors that promote differentiation, including the CIN-TCP transcription factor (TF) LA, the MYB TF CLAU and the plant hormone Gibberell

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12

Liu, Junbo, Ji Zhou, Haifeng Sun, Chuan Jin, Jian Wang, and Song Hu. "The Inverse Optimization of Lithographic Source and Mask via GA-APSO Hybrid Algorithm." Photonics 10, no. 6 (2023): 638. http://dx.doi.org/10.3390/photonics10060638.

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Source mask optimization (SMO) is an effective method for improving the image quality of high-node lithography. Reasonable algorithm optimization is the critical issue in SMO. A GA-APSO hybrid algorithm, combining genetic algorithm (GA) and adaptive particle swarm optimization (APSO), was proposed to inversely obtain the global optimal distribution of the pixelated source and mask in the lithographic imaging process. The computational efficiency was improved by combining the GA and PSO algorithms. Additionally, the global search and local search were balanced through adaptive strategies, leadi

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13

Hernandez-Da Mota, Sergio E. "An Office-Based Fluid to Fluid Exchange Technique for the Treatment of Postvitrectomy Vitreous Cavity Hemorrhage and Secondary Glaucoma." Case Reports in Ophthalmological Medicine 2017 (2017): 1–3. http://dx.doi.org/10.1155/2017/8190823.

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A case of postvitrectomy hemorrhage with secondary glaucoma successfully treated with an office-based fluid to fluid exchange is described. A 25 Ga trocar was placed 3 mm from the sclerocorneal limbus at the 2 o’clock position and connected to a 250 cc elevated bottle of balanced salt solution (BSS) through an intravenous (IV) line and an infusion cannula. Afterward, a 25 Ga needle was inserted 3 mm from the limbus at the 5 o’clock position approximately. The BSS fluid entered the eye through the 25 Ga trocar lavaging the vitreous cavity and the anterior chamber. About 4 to 6 cc of hemorrhagic

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14

Fischer, M., M. Drobny, B. Saniova, et al. "Electrical Changes in Deeper Cortical Structures During Balanced General Anesthesia with the Aim on Inhalation Anesthetics Effects." Acta Medica Martiniana 15, no. 3 (2015): 21–29. http://dx.doi.org/10.1515/acm-2015-0014.

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Abstract There are many theories that attempt to explain the mechanisms of the effects of inhalation anesthetics - from simpler, pursuing individual effects of anesthetics on the level of the ion channels, to more complex that are looking for uniform global changes in brain activity common to several agents. However, we still don’t have satisfactory and adequate conclusions. We examined a sample of 39 patients undergoing thoracic surgery at the Clinic of Thoracic Surgery under general anesthesia (GA) and we registered their electroencephalographic (EEG) signals before and during operation. Aft

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15

Banerjee, Swastika, Xiangwei Jiang та Lin-Wang Wang. "Designing a porous-crystalline structure of β-Ga2O3: a potential approach to tune its opto-electronic properties". Physical Chemistry Chemical Physics 20, № 14 (2018): 9471–79. http://dx.doi.org/10.1039/c7cp08565f.

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We investigate how the optical and electronic properties of β-Ga<sub>2</sub>O<sub>3</sub> can be changed in a particular porous structure with stoichiometrically balanced and extended vacancy channels.

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16

Mubeen, Aroosa, Muhammad Ibrahim, Nargis Bibi, Mohammad Baz, Habib Hamam, and Omar Cheikhrouhou. "Alts: An Adaptive Load Balanced Task Scheduling Approach for Cloud Computing." Processes 9, no. 9 (2021): 1514. http://dx.doi.org/10.3390/pr9091514.

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According to the research, many task scheduling approaches have been proposed like GA, ACO, etc., which have improved the performance of the cloud data centers concerning various scheduling parameters. The task scheduling problem is NP-hard, as the key reason is the number of solutions/combinations grows exponentially with the problem size, e.g., the number of tasks and the number of computing resources. Thus, it is always challenging to have complete optimal scheduling of the user tasks. In this research, we proposed an adaptive load-balanced task scheduling (ALTS) approach for cloud computin

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17

Vaqif Najafli, Javad. "HYBRID APPROACHES TO MAXIMUM POWER POINT TRACKING (MPPT) BASED ON ARTIFICIAL INTELLIGENCE: SYNERGY OF METHODS TO INCREASE EFFICIENCY." Elmi Əsərlər 3, no. 2 (2024): 84–91. https://doi.org/10.61413/misf1938.

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This study investigates the performance of hybrid Maximum Power Point Tracking (MPPT) algorithms for photovoltaic systems using neural networks (NN), genetic algorithms (GA), and particle swarm optimization (PSO). Three hybrid models—NN-GA, PSO-GA, and NN-PSO—were evaluated based on response time, maximum power, and robustness to noise. Results revealed distinct trade-offs among the models. The NN-GA model exhibited the shortest response time of 0.0036 s/prediction, but its accuracy significantly degraded with increasing noise levels. The PSO-GA model demonstrated the highest maximum power out

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18

Xu, Qian-Ting, Zong-Dong Sun, Yang Chi, Huai-Guo Xue, and Sheng-Ping Guo. "Monoclinic gallium selenide: an AgGaS2-type structure variant with balanced infrared nonlinear optical performance." Journal of Materials Chemistry C 7, no. 38 (2019): 11752–56. http://dx.doi.org/10.1039/c9tc03909k.

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19

Neelima, P., and A. Rama Mohan Reddy. "An Efficient Novel Load Balancing Algorithm to Improve the Performance of the System in Cloud Environment." Asian Journal of Computer Science and Technology 8, S3 (2019): 105–8. http://dx.doi.org/10.51983/ajcst-2019.8.s3.2074.

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Distribution of workload in a balanced manner is a main challenge in cloud computing system. It distributes workload among multiple nodes, hence resources are properly utilized. This is an optimization problem and a good load balancer should be involved for this strategy to the types of tasks and dynamic environment. To overcome load balancing problem here a Novel Load balancing Algorithm is develop i.e. Dragonfly Algorithm is design and developed, to execute the entire task with shortest completion time and load balanced. Our algorithm will be presented with efficient solution representation,

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20

He, Zheng Gang, and Sha Liu. "The Research on Recovery Network Optimization of Medical Waste." Applied Mechanics and Materials 768 (June 2015): 671–78. http://dx.doi.org/10.4028/www.scientific.net/amm.768.671.

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Medical waste is one of the major hazardous wastes. Not only the costs (distance) but security issue also should be taken into consideration when we build the recovery network of medical waste. Load-balance can decrease transportation risk efficiently. From this point of view, we formulate a vehicle routing problem with balance constraints (VRPBC), where both costs and transportation risk are considered, to minimize the total distance and make the loads among recovery vehicles balanced. The results of the model also tell managers the number of the recovery vehicles they need to arrange and the

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21

Wang, Lisong, Xiaoliang Zhang, Pingyu Deng, Jiexiang Kang, Zhongjie Gao, and Liang Liu. "An Energy-Balanced Path Planning Algorithm for Multiple Ferrying UAVs Based on GA." International Journal of Aerospace Engineering 2020 (August 14, 2020): 1–15. http://dx.doi.org/10.1155/2020/3516149.

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When performing a search and rescue mission, unmanned aerial vehicles (UAVs) should continuously search targets above the mission area. In order to transfer the search and rescue information quickly and efficiently, two types of UAVs, the ferrying UAVs and the searching UAVs, are used to complete the mission. Obviously, this application scenario requires an efficient path planning method for ferrying UAVs. The existing path planning methods for ferrying UAVs usually focus on shortening the path length and ignore the different initial energy of ferrying UAVs. However, the following problem does

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22

Li, Ya-Nan, Yang Chi, Zong-Dong Sun, Huaiguo Xue, Nian-Tzu Suen, and Sheng-Ping Guo. "Partial substitution induced centrosymmetric to noncentrosymmetric structure transformation and promising second-order nonlinear optical properties of (K0.38Ba0.81)Ga2Se4." Chemical Communications 55, no. 91 (2019): 13701–4. http://dx.doi.org/10.1039/c9cc07112a.

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Novel noncentrosymmetric (K<sub>0.38</sub>Ba<sub>0.81</sub>)Ga<sub>2</sub>Se<sub>4</sub> can be obtained from centrosymmetric BaGa<sub>2</sub>Se<sub>4</sub>via partial substitution, and it demonstrates promising balanced NLO properties.

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23

Singh, Prem, and Himanshu Chaudhary. "Dynamic balancing of the cleaning unit used in agricultural thresher using a non-dominated sorting Jaya algorithm." Engineering Computations 37, no. 5 (2020): 1849–64. http://dx.doi.org/10.1108/ec-03-2019-0087.

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Purpose This paper aims to propose a dynamically balanced mechanism for cleaning unit used in agricultural thresher machine using a dynamically equivalent system of point masses. Design/methodology/approach The cleaning unit works on crank-rocker Grashof mechanism. This mechanism can be balanced by optimizing the inertial properties of each link. These properties are defined by the dynamic equivalent system of point masses. Parameters of these point masses define the shaking forces and moments. Hence, the multi-objective optimization problem with minimization of shaking forces and shaking mome

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24

Drisya, J., and D. Sathish Kumar. "Automated calibration of a two-dimensional overland flow model by estimating Manning's roughness coefficient using genetic algorithm." Journal of Hydroinformatics 20, no. 2 (2017): 440–56. http://dx.doi.org/10.2166/hydro.2017.110.

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Abstract Calibration is an important phase in the hydrological modelling process. In this study, an automated calibration framework is developed for estimating Manning's roughness coefficient. The calibration process is formulated as an optimization problem and solved using a genetic algorithm (GA). A heuristic search procedure using GA is developed by including runoff simulation process and evaluating the fitness function by comparing the experimental results. The model is calibrated and validated using datasets of Watershed Experimentation System. A loosely coupled architecture is followed w

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Singh, Prem, and Himanshu Chaudhary. "Dynamic balancing of cleaning unit used in agricultural thresher using Jaya algorithm." World Journal of Engineering 16, no. 6 (2019): 702–11. http://dx.doi.org/10.1108/wje-02-2019-0048.

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Purpose The purpose of this paper is to propose the dynamically balanced mechanism for cleaning unit used in the agricultural thresher machine using the system of point masses. Design/methodology/approach The cleaning unit works on crank-rocker Grashof mechanism. To balance the mechanism, the shaking forces and shaking moments are minimized by optimizing the mass distribution of links using the dynamically equivalent system of point masses. The point mass parameters are taken as the design variables. Then, the optimization problem is solved using Jaya algorithm and genetic algorithm (GA) under

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26

Le, Hoai Minh, Hoai An Le Thi, Tao Pham Dinh, and Pascal Bouvry. "A combined DCA: GA for constructing highly nonlinear balanced boolean functions in cryptography." Journal of Global Optimization 47, no. 4 (2009): 597–613. http://dx.doi.org/10.1007/s10898-009-9481-4.

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Jyoti Prashant Singh. "Performance Analysis of Gaussian Apodized Fiber Bragg Grating (GA-FBG) Dispersion Compensator for a Long Haul Optical Fiber Link." Journal of Electrical Systems 20, no. 6s (2024): 2982–95. http://dx.doi.org/10.52783/jes.3309.

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This examination gives a complete analysis of the GA-FBG, a generally involved grating for dispersion compensation across a 150 kilometer optical link, from each point. The essential objective of this study is to distinguish how long the GA-FBG can work as an independent dissemination reimbursement gadget and how well it acts in various compensation settings. In this review, the GA-FBG is utilized as an option in contrast to the exorbitant Dispersion-Reimbursing Fiber inside the association to give a more safe optical link. The investigation delves into three specific compensation methods and

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28

Wang, Yumei, Zhirong Shen, and Yicheng Zhou. "Rapid Control of Government Economic Environment Management Cost Based on Balanced Score Card." Journal of Environmental and Public Health 2022 (August 2, 2022): 1–10. http://dx.doi.org/10.1155/2022/8506676.

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EMC (economic management cost) of the government has become a hot topic of concern from all walks of life. Controlling and reducing government EMC is the requirement for building a conservation-oriented society and deepening the reform of public budget. Dynamic cost accounting calculates the cost of cost objects through the confirmation, measurement, and distribution of production costs. In this article, it is innovatively proposed to integrate BSC (balanced score card) into EMC control, and analyze the logical relationship between system objectives and functions by using the mathematical mode

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Devant, Maria, Shukun Yu, Sandra Genís, Torben Larsen, and Li Wenting. "Effects of Exogenous Glucoamylase Enzymes Alone or in Combination with a Neutral Protease on Apparent Total Tract Digestibility and Feces D-Lactate in Crossbred Angus Bulls Fed a Ration Rich in Rolled Corn." Animals 10, no. 6 (2020): 1077. http://dx.doi.org/10.3390/ani10061077.

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The aim of this study was to evaluate the effect of two glucoamylases (GA) and the combination of one GA with a neutral protease on apparent total tract digestibility in beef bulls fed a total mixed ration (TMR) rich in rolled corn. Sixteen Angus beef bulls (266 ± 4.9 kg of initial BW, and 182 ± 1.7 d of age) were distributed in 4 blocks, each block consisted of 4 animals balanced by BW. The experimental design was a 4 × 4 Latin square (4 blocks and 4 periods, 2 w per period). Four treatments were tested; (1) control, (2) GA preparation from Trichoderma reesei (TrGA); (3) GA from Aspergillus f

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Chen, Hao-Wei, and Chiu-Kuo Liang. "Genetic Algorithm versus Discrete Particle Swarm Optimization Algorithm for Energy-Efficient Moving Object Coverage Using Mobile Sensors." Applied Sciences 12, no. 7 (2022): 3340. http://dx.doi.org/10.3390/app12073340.

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This paper addresses the challenge of moving objects in a mobile wireless sensor network, considering the deployment of a limited number of mobile wireless sensor nodes within a predetermined area to provide coverage for moving objects traveling on a predetermined trajectory. Because of the insufficient number and limited sensing range of mobile wireless sensors, the entire object’s trajectory cannot be covered by all deployed sensors. To address this problem and provide complete coverage, sensors must move from one point of the trajectory to another. The frequent movement quickly depletes the

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Tran, Nguyen-Dang-Khoa, Minh-Quan Nguyen, Tuan-Kiet Le, et al. "Application of Genetic Algorithm in Optimizing LQR Control for Ball and Beam." Robotica & Management 28, no. 2 (2023): 48–54. http://dx.doi.org/10.24193/rm.2023.2.9.

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In this paper, we apply genetic algorithm (GA) to optimize LQR controller – a linear control algorithm which stability is guaranteed by mathematics. This searching algorithm proves its ability in finding better control parameters through generations. Our model is ball and beam (B&B) – a classical single input – multi output (SIMO) system. This system is balanced around equilibrium point in simulation.

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Tahboub, Khaldoun K., Mahmoud Barghash, Mazen Arafeh, and Osama Ghazal. "An ANN-GA Framework for Optimal Engine Modeling." Mathematical Problems in Engineering 2016 (2016): 1–8. http://dx.doi.org/10.1155/2016/6180758.

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Internal combustion engines are a main power source for vehicles. Improving the engine power is important which involved optimizing combustion timing and quantity of fuel. Variable valve timing (VVT) can be used in this respect to increase peak torque and power. In this work Artificial Neural Network (ANN) is used to model the effect of the VVT on the power and genetic algorithm (GA) as an optimization technique to find the optimal power setting. The same proposed technique can be used to improve fuel economy or a balanced combination of both fuel and power. Based on the findings of this work,

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Singh, Prem, and Himanshu Chaudhary. "Optimum two-plane balancing of rigid rotor using discrete optimization algorithm." World Journal of Engineering 16, no. 1 (2019): 138–46. http://dx.doi.org/10.1108/wje-05-2018-0167.

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Purpose This paper aims to present the optimum two-plane discrete balancing procedure for rigid rotor. The discrete two-plane balancing in which rotor is balanced to minimize the residual effects or the reactions on the bearing supports using discrete parameters such as masses and their angular positions on two balancing planes. Design/methodology/approach Therefore as a multi-objective optimization problem is formulated by considering reaction forces on the bearing supports as a multi objective functions and discrete parameters on each balancing plane as design variables. These multi-objectiv

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Latorre, Adela, Luis Ugarte, and Raquel Villacampa. "A Family of Complex Nilmanifolds with in finitely Many Real Homotopy Types." Complex Manifolds 5, no. 1 (2018): 89–102. http://dx.doi.org/10.1515/coma-2018-0004.

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Abstract We find a one-parameter family of non-isomorphic nilpotent Lie algebras ga, with a > [0,∞), of real dimension eight with (strongly non-nilpotent) complex structures. By restricting a to take rational values, we arrive at the existence of infinitely many real homotopy types of 8-dimensional nilmanifolds admitting a complex structure. Moreover, balanced Hermitian metrics and generalized Gauduchon metrics on such nilmanifolds are constructed.

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Wang, Yao, Yongkang Shi, and Yunhui Liu. "Research on improved genetic simulated annealing algorithm for multi-UAV cooperative task allocation." Journal of Physics: Conference Series 2246, no. 1 (2022): 012081. http://dx.doi.org/10.1088/1742-6596/2246/1/012081.

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Abstract In order to solve the cooperative search problem of multiple unmanned aerial vehicles (multi-UAVs) in a large-scale area, we propose a genetic algorithm (GA) incorporating simulated annealing (SA) for solving the task region allocation problem among multi-UAVs on the premise that the large area is divided into several small areas. Firstly, we describe the problem to be solved, and regard the task areas allocation problem of multi-UAVs as a multiple traveling salesman problem (MTSP). And the objective function is established under the premise that the number of task areas to be searche

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Cunuhay Cuchipe, Wilmer Clemente, Johnny Bajaña Zajia, Byron Oviedo, and Cristian Zambrano-Vega. "Advanced Sales Route Optimization Through Enhanced Genetic Algorithms and Real-Time Navigation Systems." Algorithms 18, no. 5 (2025): 260. https://doi.org/10.3390/a18050260.

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Efficient sales route optimization is a critical challenge in logistics and distribution, especially under real-world conditions involving traffic variability and dynamic constraints. This study proposes a novel Hybrid Genetic Algorithm (GAAM-TS) that integrates Adaptive Mutation, Tabu Search, and an LSTM-based travel time prediction model to enable real-time, intelligent route planning. The approach addresses the limitations of traditional genetic algorithms by enhancing solution quality, maintaining population diversity, and incorporating data-driven traffic estimations via deep learning. Ex

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Hordijk, Wim, Arie Hordijk, and Bernd Heidergott. "A Genetic Algorithm for Finding Good Balanced Sequences in a Customer Assignment Problem with no State Information." Asia-Pacific Journal of Operational Research 32, no. 03 (2015): 1550015. http://dx.doi.org/10.1142/s0217595915500153.

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In this paper, we study the control problem of optimal assignment of tasks to servers in a multi-server queue with inhomogeneous servers. In order to improve the performance of the system, we use a periodic deterministic sequence of job assignments to servers called a billiard sequence. We then use a genetic algorithm (GA) for computing a near-optimal billiard sequence. By means of a recent result obtained in the area of ordinal optimization, we show that the solution found by the GA belongs to the top 1% of possible choices for such a billiard sequence. As illustrated by numerical examples, n

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Liu, Sitao, Shenghui Fu, Anrui Hu, et al. "Research on Insect Pest Identification in Rice Canopy Based on GA-Mask R-CNN." Agronomy 13, no. 8 (2023): 2155. http://dx.doi.org/10.3390/agronomy13082155.

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Aiming at difficult image acquisition and low recognition accuracy of two rice canopy pests, rice stem borer and rice leaf roller, we constructed a GA-Mask R-CNN (Generative Adversarial Based Mask Region Convolutional Neural Network) intelligent recognition model for rice stem borer and rice leaf roller, and we combined it with field monitoring equipment for them. Firstly, based on the biological habits of rice canopy pests, a variety of rice pest collection methods were used to obtain the images of rice stem borer and rice leaf roller pests. Based on different segmentation algorithms, the ric

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Nguyen Hoai Nam. "CONTROL OF TWO-WHEELED INVERTED PENDULUM ROBOT USING ROBUST PI AND LQR CONTROLLERS." Journal of Military Science and Technology, no. 66A (May 6, 2020): 1–15. http://dx.doi.org/10.54939/1859-1043.j.mst.66a.2020.1-15.

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In this paper, a robust PI controller in combination with a linear quadratic regulator (LQR) is proposed to control a two-wheeled inverted pendulum robot (TWIPR) such that it is kept balanced while moving. The proposed TWIPR control system consists of two control loops. The inner loop has two PI controllers for two DC motors’ currents, which are separately designed based on a robust PI controller structure. The outer loop contains a LQR controller for the tilt angle, heading angle and position of the TWIPR. The proposed PI controller is compared to the existing method such as the magnitude opt

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Starc, Sonja. "Jezik usvajamo in se ga učimo iz besedila – neumetnostnega in umetnostnega." Jezik in slovstvo 60, no. 3-4 (2024): 151–59. http://dx.doi.org/10.4312/jis.60.3-4.151-159.

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The article argues that students should acquire and learn about Slovenian language at school using literary texts and not only non-literary texts. A diachronic survey of the curricula and the respective textbooks for Slovenian language classes reveals a sharp swing in the teaching praxis from learning the language only through literary texts to the recent language pedagogy using only non-literary texts. A properly balanced solution should be found in conceptualising the notion of text and teaching it according to the text’s inherent characteristics, as determined by linguistic theories such as

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Picozzi, Vincent J., Anna M. Varghese, Paul Eliezer Oberstein, et al. "Pamrevlumab plus nab-paclitaxel/gemcitabine (Pam + GA) as first- and second-line therapy in metastatic pancreatic cancer (mPDAC): Results from Precision Promise (PrP) Bayesian platform trial." Journal of Clinical Oncology 43, no. 4_suppl (2025): 673. https://doi.org/10.1200/jco.2025.43.4_suppl.673.

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673 Background: Pamrevlumab (Pam) is a fully human recombinant monoclonal antibody against connective tissue growth factor. Early clinical data with Pam plus chemotherapy showed a favorable safety profile and potential efficacy in PDAC. In PrP, Pam + GA was tested as first line (Line 1) and second line (Line 2) therapy for mPDAC vs GA. PrP is a phase 2/3, innovative Bayesian adaptive platform trial sponsored by the Pancreatic Cancer Action Network testing multiple experimental arms efficiently against common controls (1). Methods: Randomization is 70% (adaptive amongst experimental arms in sta

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Bouhadida, Maha, Rodayna Hmede, Mariya Brovchenko, et al. "Exploration of genetic algorithms to build a balanced neutron spectra dataset useful to train unfolding techniques based on artificial neural networks." EPJ Web of Conferences 302 (2024): 17011. http://dx.doi.org/10.1051/epjconf/202430217011.

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Diverse domains need neutrons unfolding technics to assess the incident neutron energy spectrum. Examples are radiation protection, nuclear reactor physics or criticality safety. Traditionally, methods based on the Bayesian approach requires an initial guess of the solution which may significantly impact the unfolding result. This work proposes a novel method for neutron spectrum reconstruction using machine learning (ML) techniques trained on a large dataset. To ensure the ML algorithm to perform on a large domain of application particular attention has been paid to the dataset creation. We p

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Shahid, Swarngit K., Jennifer H. Godson, Sonia A. Williams, and Joanne Nykol. "Obtaining Informed Consent for Children Receiving Dental Care: A Pilot Study." Primary Dental Care os15, no. 1 (2008): 17–22. http://dx.doi.org/10.1308/135576108783328391.

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Aim To explore the outcome of the consent process with parents/carers of children of different ethnic minority backgrounds in a primary care salaried dental service setting. Materials and Methods One hundred parents of children were recruited to the study. The sample was balanced by ethnicity (White and Pakistani) and type of care (routine and general anaesthesia [GA]). Subjects were interviewed using a questionnaire enquiring about the various aspects of the consent process. Results For routine care, 53% of parents were unaware of the type of pain relief to be used. The majority (78%) knew of

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Looney, Micheal, Peter Doran та Donal J. Buggy. "Effect of Anesthetic Technique on Serum Vascular Endothelial Growth Factor C and Transforming Growth Factor β in Women Undergoing Anesthesia and Surgery for Breast Cancer". Anesthesiology 113, № 5 (2010): 1118–25. http://dx.doi.org/10.1097/aln.0b013e3181f79a69.

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Background In breast cancer, vascular endothelial growth factor C, transforming growth factor β, placental growth factor, and fibroblast growth factor (acidic and basic) promote angiogenesis and metastases. We tested the hypothesis that a propofol-paravertebral anesthetic (PPA) technique would attenuate postoperative changes in these angiogenic factors to a greater extent than balanced general anesthesia (GA) and morphine analgesia in women undergoing surgery for primary breast cancer. Method Forty women with primary breast cancer undergoing surgical excision were randomized to receive either

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Giuntoli, Michele, Michelangelo Scaglione, Enrico Bonicoli, et al. "Intraoperative Load Sensing in Total Knee Arthroplasty Leads to a Functional but Not Clinical Difference: A Comparative, Gait Analysis Evaluation." Journal of Functional Morphology and Kinesiology 7, no. 1 (2022): 23. http://dx.doi.org/10.3390/jfmk7010023.

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Introduction: Although Total Knee Arthroplasty (TKA) is a successful procedure, a significant number of patients are still unsatisfied, reporting instability at the mid-flexion range (Mid-Flexion Instability-MFI). To avoid this complication, many innovations, including load sensors (LS), have been introduced. The intraoperative use of LS may facilitate the balance of the knee during the entire range of motion to avoid MFI postoperatively. The objective of this study was to perform a Gait Analysis (GA) evaluation of a series of patients who underwent primary TKA using a single LS technology. Me

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Kampelis, Nikos, Elisavet Tsekeri, Dionysia Kolokotsa, Kostas Kalaitzakis, Daniela Isidori, and Cristina Cristalli. "Development of Demand Response Energy Management Optimization at Building and District Levels Using Genetic Algorithm and Artificial Neural Network Modelling Power Predictions." Energies 11, no. 11 (2018): 3012. http://dx.doi.org/10.3390/en11113012.

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Demand Response (DR) is a fundamental aspect of the smart grid concept, as it refers to the necessary open and transparent market framework linking energy costs to the actual grid operations. DR allows consumers to directly or indirectly participate in the markets where energy is being exchanged. One of the main challenges for engaging in DR is associated with the initial assessment of the potential rewards and risks under a given pricing scheme. In this paper, a Genetic Algorithm (GA) optimisation model, using Artificial Neural Network (ΑΝΝ) power predictions for day-ahead energy management a

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Sugavanam, K. R., P. Selvaraju, V. S. Chandrika та K. Mohanasundaram. "Design and Simulation of Hybrid Shunt Active Filter for PQ Improvement using PID Genetic Algorithm Controller in 3ϕ-4 Wire System". IOP Conference Series: Earth and Environmental Science 1261, № 1 (2023): 012011. http://dx.doi.org/10.1088/1755-1315/1261/1/012011.

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Abstract This paper provides an economical solution and advanced method by tuning and optimizing system for power in the transmission line. The proposed system uses PID Genetic Algorithm (GA) controller in three phase four wire system for Total Harmonic Distortion (THD) minimization under balanced load conditions. In this article, traction load model is taken into consideration to evaluate the designed Shunt Active Power Filter (SAPF) for reduction of harmonics in three phase four wire system. Many existing SAPF models were tested using non-linear diode rectifier load for analysis. The GA tech

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Li, Wenguang, Yan Peng, and Ke Peng. "Diabetes prediction model based on GA-XGBoost and stacking ensemble algorithm." PLOS ONE 19, no. 9 (2024): e0311222. http://dx.doi.org/10.1371/journal.pone.0311222.

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Diabetes, as an incurable lifelong chronic disease, has profound and far-reaching effects on patients. Given this, early intervention is particularly crucial, as it can not only significantly improve the prognosis of patients but also provide valuable reference information for clinical treatment. This study selected the BRFSS (Behavioral Risk Factor Surveillance System) dataset, which is publicly available on the Kaggle platform, as the research object, aiming to provide a scientific basis for the early diagnosis and treatment of diabetes through advanced machine learning techniques. Firstly,

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Sinatrya, Yuanita, and Lili Ayu Wulandhari. "DETEKSI DIABETES MELITUS UNTUK WANITA DAN PENYUSUNAN MENU SEHAT DENGAN PENDEKATAN ADAPTIVE NEURO FUZZY INFERENCE SYSTEM (ANFIS) DAN ALGORITMA GENETIKA (GA)." JURNAL TEKNIK INFORMATIKA 12, no. 1 (2019): 39–58. http://dx.doi.org/10.15408/jti.v12i1.9578.

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Diabetes melitus (DM) merupakan salah satu penyakit kronis (menahun) yang disebabkan berkurangnya produksi insulin dari pankreas maupun insulin yang dihasilkan tidak efektif dalam mengurangi kadar gula darah. Keadaan ini akan meningkatkan kadar gula darah sehingga merusak sistem kekebalan tubuh. Penanganan awal pada penderita DM adalah dengan mengubah gaya hidup yaitu mengkonsumsi makanan dengan kandungan nutrisi yang diperlukan oleh tubuh dan memperbanyak aktivitas fisik. Untuk mengatur pola makan pada penderita DM maka diperlukan diet dengan mengatur komposisi pola makanan dan mengendalikan

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Barreiro, Andrea K., Evan L. Thilo, and Eric Shea-Brown. "A-current and type I/type II transition determine collective spiking from common input." Journal of Neurophysiology 108, no. 6 (2012): 1631–45. http://dx.doi.org/10.1152/jn.00928.2011.

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The mechanisms and impact of correlated, or synchronous, firing among pairs and groups of neurons are under intense investigation throughout the nervous system. A ubiquitous circuit feature that can give rise to such correlations consists of overlapping, or common, inputs to pairs and populations of cells, leading to common spike train responses. Here, we use computational tools to study how the transfer of common input currents into common spike outputs is modulated by the physiology of the recipient cells. We focus on a key conductance, gA, for the A-type potassium current, which drives neur

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