Gotowe bibliografie tematyczne / Value-Added Bat Algorithm

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Gotowa bibliografia na temat „Value-Added Bat Algorithm”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Value-Added Bat Algorithm"

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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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> 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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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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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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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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Abstract. 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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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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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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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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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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Książki na temat "Value-Added Bat Algorithm"

Bonet Navarro, Jaime. HUMAN RIGHTS Evolution in the digital era. Edited by Magdalena Sitek. Wydawnictwo Wyższej Szkoły Gospodarki Euroregionalnej im. Alcide De Gasperi w Józefowie, 2021. http://dx.doi.org/10.13166/wsge/hr-pl/thaz5155.

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This publication contains studies conducted by authors from several European countries that have cooperated with each other for many years in the field of human rights. The fruit of this cooperation are numerous conferences and publications in various languages. What is most important, however, is the exchange of experiences and opinions on understanding and application of individual human rights from the perspective of the experiences of societies living in the European cultural circle, and at the same time functioning in different historical and geographical conditions. This publication is a

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