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Artykuły w czasopismach na temat „Value-Added Bat Algorithm”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

Lenin, K. "DIMINUTION OF REAL POWER LOSS BY VALUE-ADDED BAT ALGORITHM." International Journal of Research -GRANTHAALAYAH 5, no. 6 (2017): 378–88. http://dx.doi.org/10.29121/granthaalayah.v5.i6.2017.2047.

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In this paper, a new Value-added Bat Algorithm (VBA) is proposed to solve reactive power problem. Echolocation is a significant feature of bat behavior and it produce a sound pulse and listens to the echo bouncing back from obstacles whilst flying. Projected VBA algorithm utilizes chaotic behaviour to produce a candidate solution in behaviours analogous to acoustic monophony. Proposed VBA has been tested in Standard IEEE 118 bus system & practical 191 Indian utility system and simulation results show clearly the better performance of the proposed algorithm in decreasing the real power loss

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Dr.K.Lenin. "DIMINUTION OF REAL POWER LOSS BY VALUE-ADDED BAT ALGORITHM." International Journal of Research - Granthaalayah 5, no. 6 (2017): 378–88. https://doi.org/10.5281/zenodo.821704.

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In this paper, a new Value-added Bat Algorithm (VBA) is proposed to solve reactive power problem. Echolocation is a significant feature of bat behavior and it produce a sound pulse and listens to the echo bouncing back from obstacles whilst flying. Projected VBA algorithm utilizes chaotic behaviour to produce a candidate solution in behaviours analogous to acoustic monophony. Proposed VBA has been tested in Standard IEEE 118 bus system & practical 191 Indian utility system and simulation results show clearly the better performance of the proposed algorithm in decreasing the real power loss

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Li, Guowen, Ying Xu, Chengbin Chang, Sainan Wang, Qian Zhang, and Dong An. "Improved bat algorithm for roundness error evaluation problem." Mathematical Biosciences and Engineering 19, no. 9 (2022): 9388–411. http://dx.doi.org/10.3934/mbe.2022437.

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<abstract> <p>In the production and processing of precision shaft-hole class parts, the wear of cutting tools, machine chatter, and insufficient lubrication can lead to changes in their roundness, which in turn affects the overall performance of the relevant products. To improve the accuracy of roundness error assessments, Bat algorithm (BA) is applied to roundness error assessments. An improved bat algorithm (IBA) is proposed to counteract the original lack of variational mechanisms, which can easily lead BA to fall into local extremes and induce premature convergence. First, logi

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4

Yue, Xiaofeng, Guoyuan Ma, Fuqiuxuan Liu, and Xueliang Gao. "Research on image classification method of strip steel surface defects based on improved Bat algorithm optimized BP neural network." Journal of Intelligent & Fuzzy Systems 41, no. 1 (2021): 1509–21. http://dx.doi.org/10.3233/jifs-210374.

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Due to the complexity and variety of textures on Strip steel, it is very difficult to detect defects on rigid surfaces. This paper proposes a metal surface defect classification method based on an improved bat algorithm to optimize BP neural network. First, this paper uses the Local Binary Pattern(LBP) algorithm to extract features from six types of defect images including inclusion, patches, crazing, pitted, rolled-in, and scratches, and build a feature sample library with the extracted feature values. Then, the WG-BA-BP network is used to classify the defect images with different characteris

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Kheireddine, Bourahla, Belli Zoubida, and Hacib Tarik. "Improved version of teaching learning-based optimization algorithm using random local search." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 38, no. 3 (2019): 1048–60. http://dx.doi.org/10.1108/compel-09-2018-0373.

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Purpose This paper aims to deal with the development of a newly improved version of teaching learning based optimization (TLBO) algorithm. Design/methodology/approach Random local search part was added to the classic optimization process with TLBO. The new version is called TLBO algorithm with random local search (TLBO-RLS). Findings At first step and to validate the effectiveness of the new proposed version of the TLBO algorithm, it was applied to a set of two standard benchmark problems. After, it was used jointly with two-dimensional non-linear finite element method to solve the TEAM worksh

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6

Uman Putra, Dimas Fajar, Aji Akbar Firdaus, Hamzah Arof, Novian Patria Uman Putra, and Vicky Andria Kusuma. "Improved load frequency control performance by tuning parameters of PID controller and BESS using Bat algorithm." Bulletin of Electrical Engineering and Informatics 12, no. 5 (2023): 2624–34. http://dx.doi.org/10.11591/eei.v12i5.4548.

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The oscillation of frequency can cause the generator to run out of sync in a power system. Therefore, load frequency control (LFC) is needed to reduce frequency oscillation and prevent out of sync operation. The LFC regulates the governor to balance the turbine speed with changes in the load of existing. In this paper, a proportional integral differential (PID) controller and a battery energy storage system (BESS) are added to an LFC to improve the frequency stability of a power system. The parameters of the PID controller and BESS are optimized using the Bat algorithm (BA) to attain a good co

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7

Zhou, Guiyun, Wenyan Dong, and Hongqiang Wei. "A fast and simple algorithm for calculating flow accumulation matrices from raster digital elevation models." Abstracts of the ICA 1 (July 15, 2019): 1–2. http://dx.doi.org/10.5194/ica-abs-1-434-2019.

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<p><strong>Abstract.</strong> Flow accumulation is an essential input for many hydrological and topographic analyses such as stream channel extraction, stream channel ordering and sub-watershed delineation. Flow accumulation matrices can be derived directly from DEMs and general have O(NlogN) time complexity (Arge, 2003; Bai et al., 2015). It is more common to derive the flow accumulation matrix from a flow direction matrix. This study focuses on calculating the flow accumulation matrix from the flow direction matrix that is derived using the single-flow D8 method (Barnes et

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8

Ding, Wenjie, Yichao Cao, Kai Yu, Mingxue Ma, and Bin Hong. "Pulse Bag Filter Fault Classifier Research and Analysis." Journal of Physics: Conference Series 2437, no. 1 (2023): 012067. http://dx.doi.org/10.1088/1742-6596/2437/1/012067.

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Abstract Aiming at the problem of fault alarm flooding, a fault classifier is established to automatically classify fault types in combination with unsupervised learning methods in machine learning. The k-means method is used to classify the alarm types in dimensionality reduction, and the optimal K value is selected as 11 through various evaluation indexes, and the faults are added to the new category labels according to the center of each cluster after clustering. The random forest and support vector classification algorithm is used to establish a fault classifier model on the fault alarm da

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9

Bahri, Saeful. "SELEKSI ATRIBUT PADA ALGORITMA C4.5 MENGGUNAKAN GENETIK ALGORITMA DAN BAGGING UNTUK ANALISA KELAYAKAN PEMBERIAN KREDIT." KLIK - KUMPULAN JURNAL ILMU KOMPUTER 4, no. 2 (2017): 174. http://dx.doi.org/10.20527/klik.v4i2.99.

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<p><em>According to the banking ACT No. 9 of 1992 is the provision of credit or money bills which can dipersama-kan with it, based on the approval of an agreement between the bank pinjam-meminjam with other parties that require that the borrower to pay off a loan after a certain period of time with the giving of flowers. Credit analysis aims to evaluate the customer able to or not in fulfilling obligations. In analyzing the sometimes an analyst is not accurate in analyzing causing bad credit. Of the problems that existed then used a method of classification for an analysis of the f

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10

Isa, Indra Griha Tofik, and Beni Junedi. "Debtors Prospective Assessment Application using Naive Bayes at Mitra Sejahtera Cooperative." IJICS (International Journal of Informatics and Computer Science) 6, no. 2 (2022): 73. http://dx.doi.org/10.30865/ijics.v6i2.3990.

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Utilization of historical data into new knowledge can increase added value for its users, including Mitra Setia Cooperative (KMS) which has debtor data that is not utilized. “Not Paid Off” potentioal of debtors cannot be detected as early as possible. In this study using the Naive Bayes algorithm in classifying the feasibility of prospective debtors based on the classification of "Paid Off" and "Not Paid Off" based on parameter of Age, Sex, Amount of Loan, Occupation, Income, and Repayment Period. The research stages consist of (1) Research Initiation, (2) Data Selection, (3) Data Preprocessin

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11

Zhang, Anqin, Baicheng Peng, Jingjing Chen, Qingfu Liu, Shibo Jiang, and Youmei Zhou. "A ResNet-LSTM Based Credit Scoring Approach for Imbalanced Data." Mobile Information Systems 2022 (April 26, 2022): 1–14. http://dx.doi.org/10.1155/2022/9103437.

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Detecting potential defaults or bad debt with limited information has become a huge challenge. The main difficulties faced by the credit scoring are sample imbalance and poor classification performance. For this reason, we first proposed the auxiliary conditional tabular generative adversarial network (ACTGAN) to generate sufficient default transaction samples from the original data, then we designed a model based on ResNet-LSTM used for feature extraction, which includes two submodels of ResNet and LSTM to extract static local features and dynamic temporal features from the original data, res

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12

Zhang, Anqin, Baicheng Peng, Jingjing Chen, Qingfu Liu, Shibo Jiang, and Youmei Zhou. "A ResNet-LSTM Based Credit Scoring Approach for Imbalanced Data." Mobile Information Systems 2022 (April 26, 2022): 1–14. http://dx.doi.org/10.1155/2022/9103437.

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Detecting potential defaults or bad debt with limited information has become a huge challenge. The main difficulties faced by the credit scoring are sample imbalance and poor classification performance. For this reason, we first proposed the auxiliary conditional tabular generative adversarial network (ACTGAN) to generate sufficient default transaction samples from the original data, then we designed a model based on ResNet-LSTM used for feature extraction, which includes two submodels of ResNet and LSTM to extract static local features and dynamic temporal features from the original data, res

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13

Owaidah, Tarek M., Hani Tamim, Ali Mushtaq, Mohamad Aljumaa, and Roaa Aljumaa. "The Impact of Laboratory Sample Request Evaluation and the Use of Probability Testing for HIT By Trained Physician on the Decrease of Unnecessary Tests and Increase the Likelihood of Positivity." Blood 142, Supplement 1 (2023): 5552. http://dx.doi.org/10.1182/blood-2023-178747.

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Introduction: Heparin-induced thrombocytopenia (HIT) is an extremely serious and potentially fatal condition that can develop in patients taking heparin-based medications, such as unfractionated heparin (UFH) or low-molecular-weight heparin (LMWH). The laboratory tests for diagnosis of HIT is expensive and time consuming. Clinical assessment (4Ts) followed by testing for Heparin/platelet factor 4 antibody in intermediate and high risk patients is the standard algorithm of pretest for (HIT) which can be later confirmed by serotonin releasing assay if available. Materials and methods: We conduct

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14

Stephenson, Greg. "Technology Focus: Artificial Lift (March 2022)." Journal of Petroleum Technology 74, no. 03 (2022): 57–58. http://dx.doi.org/10.2118/0322-0057-jpt.

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What is the one thing you can do that will provide the greatest benefit to your artificial lift operations? For me, the answer to that question is simple: focus on surveillance. Surveillance is the foundation of any artificial lift optimization program. Effective surveillance practices allow you to keep track of how your system is performing against predefined targets, understand the current state of your artificial lift system, and identify which wells are at risk of failure. It also helps you identify ways to prevent failures through better selection, design, and application of artificial li

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15

Su, Hang, Dong Zhao, Ali Asghar Heidari, Zhennao Cai, Huiling Chen, and Jiayin Zhu. "Kernel extreme learning with harmonized bat algorithm for prediction of pyrene toxicity in rats." Basic & Clinical Pharmacology & Toxicology, November 9, 2023. http://dx.doi.org/10.1111/bcpt.13959.

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AbstractPolycyclic aromatic hydrocarbons (PAHs) are organic pollutants and manufactured substances conferring toxicity to human health. The present study investigated whether pyrene, a type of PAH, harms rats. Our research provides an effective feature selection strategy for the animal dataset from Wenzhou Medical University's Experimental Animal Center to thoroughly examine the impacts of PAH toxicity on rat features. Initially, we devised a high‐performance optimization method (SCBA) and added the Sobol sequence, vertical crossover, and horizontal crossover mechanisms to the bat algorithm (B

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16

Dimas, Fajar Uman Putra, Akbar Firdaus Aji, Arof Hamzah, Patria Uman Putra Novian, and Andria Kusuma Vicky. "Improved load frequency control performance by tuning parameters of PID controller and BESS using Bat algorithm." October 1, 2023. https://doi.org/10.11591/eei.v12i5.4548.

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The oscillation of frequency can cause the generator to run out of sync in a power system. Therefore, load frequency control (LFC) is needed to reduce frequency oscillation and prevent out of sync operation. The LFC regulates the governor to balance the turbine speed with changes in the load of existing. In this paper, a proportional integral differential (PID) controller and a battery energy storage system (BESS) are added to an LFC to improve the frequency stability of a power system. The parameters of the PID controller and BESS are optimized using the Bat algorithm (BA) to attain a good co

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17

N., Hanuman Reddy, Amit Lathigara, Rajanikanth Aluvalu, and Uma Maheswari V. "Clustering based EO with MRF technique for effective load balancing in cloud computing." International Journal of Pervasive Computing and Communications, May 22, 2023. http://dx.doi.org/10.1108/ijpcc-01-2023-0022.

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Purpose Cloud computing (CC) refers to the usage of virtualization technology to share computing resources through the internet. Task scheduling (TS) is used to assign computational resources to requests that have a high volume of pending processing. CC relies on load balancing to ensure that resources like servers and virtual machines (VMs) running on real servers share the same amount of load. VMs are an important part of virtualization, where physical servers are transformed into VM and act as physical servers during the process. It is possible that a user’s request or data transmission in

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18

GENÇAL, Mashar Cenk. "Bipolar Particle Swarm Optimization Algorithm." Çukurova Üniversitesi Mühendislik Fakültesi Dergisi, September 30, 2022, 617–26. http://dx.doi.org/10.21605/cukurovaumfd.1189932.

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Evolutionary Algorithms (EAs) are commonly used algorithms to solve complex optimization problems such as network design problems, pathfinding problems, social and economic planning. Thanks to the intelligent methods they use, EAs iteratively refine the initial solution to generate new solutions. One of the frequently used EAs is the Particle Swarm Optimization (PSO) algorithm. PSO algorithm reaches the optimum value of a given function based on the best results offered by the swarm and the best results of each individual in the swarm. Although PSO is a successful algorithm, due to its structu

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19

Stefaniak, James D., Elijah Mak, Li Su, et al. "Brain age gap, dementia risk factors and cognition in middle age." Alzheimer's & Dementia 19, S23 (2023). http://dx.doi.org/10.1002/alz.078359.

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AbstractBackgroundBrain Age Gap (BAG) represents the difference between an individual’s predicted age, derived from machine learning models trained on neuroimaging data, and their chronological age. BAG has been associated with dementia and cognition in old age. Less is known relating BAG to dementia risk‐factors or cognitive performance in middle‐age.MethodCognitively healthy, middle‐aged (40‐59 years) subjects from PREVENT‐Dementia had an array of neuropsychological, neuroimaging and genetic assessments. Brain Ages were predicted from T1‐weighted 3T MRI scans. Cognition was assessed using CO

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Li, Bowen, Xiaoci Huang, Jiaming Cai, and Fang Ma. "LB-LIOSAM: an improved mapping and localization method with loop detection." Industrial Robot: the international journal of robotics research and application, November 19, 2024. http://dx.doi.org/10.1108/ir-07-2024-0314.

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Purpose In large-scale environments, LIO-SAM (Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping) exhibits poor robustness due to the accumulation of errors caused by factors such as the prevalence of similar surroundings and the lack of features in certain open areas. Therefore, the purpose of this study is to optimize the loop detection module of LIO-SAM to reduce error accumulation and enhance mapping and localization performance. Design/methodology/approach Based on the LIO-SAM framework, the LinK3D (Linear Keypoints Representation for 3D LiDAR Point Cloud) feature extractio

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21

Antonio, Amy Brooke, and David Tuffley. "Promoting Information Literacy in Higher Education through Digital Curation." M/C Journal 18, no. 4 (2015). http://dx.doi.org/10.5204/mcj.987.

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This article argues that digital curation—the art and science of searching, analysing, selecting, and organising content—can be used to promote the development of digital information literacy skills among higher education students. Rather than relying on institutionally approved journal articles that have been pre-ordained as suitable for a given purpose, digital curation tools allow students to evaluate the quality of Web based-based content and then present it in an attractive form, all of which contributes to the cultivation of their digital literacy skills. We draw on a case study in which

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Blakey, Heather. "Designing Player Intent through “Playful” Interaction." M/C Journal 24, no. 4 (2021). http://dx.doi.org/10.5204/mcj.2802.

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The contemporary video game market is as recognisable for its brands as it is for the characters that populate their game worlds, from franchise-leading characters like Garrus Vakarian (Mass Effect original trilogy), Princess Zelda (The Legend of Zelda franchise) and Cortana (HALO franchise) to more recent game icons like Miles Morales (Marvel's Spiderman game franchise) and Judy Alvarez (Cyberpunk 2077). Interactions with these casts of characters enhance the richness of games and their playable worlds, giving a sense of weight and meaning to player actions, emphasising thematic interests, an

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M.SUJITHRA1, AND DR G. PADMAVATHI. "BIOMETRIC SYSTEM PENETRATION IN RESOURCE CONSTRAINED MOBILE DEVICE." March 7, 2013. https://doi.org/10.5121/ijbb.2013.3104.

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International Journal on Bioinformatics & Biosciences (IJBB) Vol.3, No.1, March 2013 DOI : 10.5121/ijbb.2013.3104 35 BIOMETRIC SYSTEM PENETRATION IN RESOURCE CONSTRAINED MOBILE DEVICE M.SUJITHRA1 AND DR G. PADMAVATHI 2 1Assistant Professor, Department of Computer Technology & Applications, Coimbatore Institute of Technology, Email: sujisrinithi@gmail.com 2 Professor& Head, Department of Computer Science, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, Tamil Nadu, India. ABSTRACT Over the past few years, the usage of mobile devices to access dat

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