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Journal articles on the topic 'FUZZY-GSA'

Author: Grafiati

Published: 11 September 2023

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1

Shyla, S. Immaculate, and S. S. Sujatha. "An Efficient Automatic Intrusion Detection in Cloud Using Optimized Fuzzy Inference System." International Journal of Information Security and Privacy 14, no. 4 (2020): 22–41. http://dx.doi.org/10.4018/ijisp.2020100102.

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Security incidents such as denial of service (DoS), scanning, malware code injection, viruses, worms, and password cracking are becoming common in a cloud environment that affects companies and may produce a financial loss if not detected in time. Such problems are handled by presenting an intrusion detection system (IDS) into the cloud. The existing cloud IDSs affect low detection accuracy, high false detection rate, and execution time. To overcome this problem, in this article, a gravitational search algorithm-based fuzzy inference system (GSA-FIS) is developed as intrusion detection. In thi

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Chao, Chun-Tang, Ming-Tang Liu, Juing-Shian Chiou, Yi-Jung Huang, and Chi-Jo Wang. "A GSA-based adaptive fuzzy PID-controller for an active suspension system." Engineering Computations 33, no. 6 (2016): 1659–67. http://dx.doi.org/10.1108/ec-08-2015-0240.

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Purpose – The purpose of this paper is to propose a novel design for determining the optimal hybrid fuzzy PID-controller of an active automobile suspension system, employing the gravitational search algorithm (GSA). Design/methodology/approach – The hybrid fuzzy PID-controller structure is an improvement to fuzzy PID-controller by incorporating a fast learning PID-controller. Findings – The GSA can adjust the parameters of the PID-controller to achieve the optimal performance. Research limitations/implications – The GSA may have the advantage of quick convergence, but the required computation

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Bardamova, Marina, Anton Konev, Ilya Hodashinsky, and Alexander Shelupanov. "A Fuzzy Classifier with Feature Selection Based on the Gravitational Search Algorithm." Symmetry 10, no. 11 (2018): 609. http://dx.doi.org/10.3390/sym10110609.

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This paper concerns several important topics of the Symmetry journal, namely, pattern recognition, computer-aided design, diversity and similarity. We also take advantage of the symmetric and asymmetric structure of a transfer function, which is responsible to map a continuous search space to a binary search space. A new method for design of a fuzzy-rule-based classifier using metaheuristics called Gravitational Search Algorithm (GSA) is discussed. The paper identifies three basic stages of the classifier construction: feature selection, creating of a fuzzy rule base and optimization of the an

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Yu, Xiaobing, Xianrui Yu, and Xueying Zhang. "Case-based reasoning adaptation based on fuzzy gravitational search algorithm for disaster emergency plan." Journal of Intelligent & Fuzzy Systems 40, no. 6 (2021): 11007–22. http://dx.doi.org/10.3233/jifs-202132.

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Disasters can result in substantial destructive damages to the world. Emergency plan is vital to deal with these disasters. It is still difficult for the traditional CBR to generate emergency plans to meet requirements of rapid responses. An integrated system including Case-based reasoning (CBR) and gravitational search algorithm (GSA) is proposed to generate the disaster emergency plan. Fuzzy GSA (FGSA) is developed to enhance the convergence ability and accomplish the case adaptation in CBR. The proposed algorithm dynamically updates the main parameters of GSA by introducing a fuzzy system.

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Pramana, Setia, and Imam Habib Pamungkas. "Improvement Method of Fuzzy Geographically Weighted Clustering using Gravitational Search Algorithm." Jurnal Ilmu Komputer dan Informasi 11, no. 1 (2018): 10. http://dx.doi.org/10.21609/jiki.v11i1.580.

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Geo-demographic analysis (GDA) is a useful method to analyze information based on location, utilizing several spatial analysis explicitly. One of the most efficient and commonly used method is Fuzzy Geographically Weighted Clustering (FGWC). However, it has a limitation in obtaining local optimal solution in the centroid initialization. A novel approach integrating Gravitational Search Algorithm (GSA) with FGWC is proposed to obtain global optimal solution leading to better cluster quality. Several cluster validity indexes are used to compare the proposed methods with the FGWC using other opti

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Mashfufah, Syayidati, Indah Manfaati Nur, and Moh Yamin Darsyah. "Fuzzy Geographically Weighted Clustering dengan Gravitational Search Algorithm pada Kasus Penyandang Masalah Kesejahteraan Sosial di Provinsi Jawa Tengah." Jurnal Litbang Edusaintech 2, no. 1 (2021): 27–36. http://dx.doi.org/10.51402/jle.v2i1.10.

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One of the indicators of the success of social welfare development in Central Java was decreasing the population of people with social welfare problems (PMKS). One exertion that can be done was grouping or clustering the areas in Central Java-based on 26 indicators of PMKS. Fuzzy Geographically Weighted Clustering (FGWC) algorithm is a clustering analysis that observing the effect of the area. However, FGWC has a limitation in the initialization centroid phase that makes it trapped to local optimal. The limitation can be addressed with the Gravitational Search Algorithm (GSA) approach. The pur

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Hashim, H. A., and M. A. Abido. "Fuzzy Controller Design Using Evolutionary Techniques for Twin Rotor MIMO System: A Comparative Study." Computational Intelligence and Neuroscience 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/704301.

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This paper presents a comparative study of fuzzy controller design for the twin rotor multi-input multioutput (MIMO) system (TRMS) considering most promising evolutionary techniques. These are gravitational search algorithm (GSA), particle swarm optimization (PSO), artificial bee colony (ABC), and differential evolution (DE). In this study, the gains of four fuzzy proportional derivative (PD) controllers for TRMS have been optimized using the considered techniques. The optimization techniques are developed to identify the optimal control parameters for system stability enhancement, to cancel h

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Kherabadi, Hossein Azadi, Sepehr Ebrahimi Mood, and Mohammad Masoud Javidi. "Mutation: A New Operator in Gravitational Search Algorithm Using Fuzzy Controller." Cybernetics and Information Technologies 17, no. 1 (2017): 72–86. http://dx.doi.org/10.1515/cait-2017-0006.

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Abstract Gravitational Search Algorithm (GSA) isanovel meta-heuristic algorithm. Despite it has high exploring ability, this algorithm faces premature convergence and gets trapped in some problems, therefore it has difficulty in finding the optimum solution for problems, which is considered as one of the disadvantages of GSA. In this paper, this problem has been solved through definingamutation function which uses fuzzy controller to control mutation parameter. The proposed method has been evaluated on standard benchmark functions including unimodal and multimodal functions; the obtained resul

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Javanbakht, Mohammad, and Mohammad Javad Mahmoodabadi. "Achieving More Stringent Levels of Comfort via an Adaptive Fuzzy Controller Optimized by the Gravitational Search Algorithm for a Half-Body Car Model." Volume 24, No 3, September 2019 24, no. 3 (2019): 567–77. http://dx.doi.org/10.20855/jav.2019.24.31399.

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An optimal adaptive fuzzy controller is designed to achieve more stringent levels of comfort for a half-body car model. This aim will be fulfilled by reducing road disturbances and decreasing the acceleration of the body. The proposed controller consists of two adaptive fuzzy controllers with two fuzzy systems. Each one has two inputs, one output and twenty five linguistic fuzzy IF-THEN rules. Every input has five Gaussian membership functions and uses the product inference engine, singleton fuzzifier and the centre average defuzzifier. In order to determine the optimal parameters for the Adap

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Bounar, N., S. Labdai, and A. Boulkroune. "PSO–GSA based fuzzy sliding mode controller for DFIG-based wind turbine." ISA Transactions 85 (February 2019): 177–88. http://dx.doi.org/10.1016/j.isatra.2018.10.020.

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11

Muhammad Adnan, Rana, Zhihuan Chen, Xiaohui Yuan, et al. "Reference Evapotranspiration Modeling Using New Heuristic Methods." Entropy 22, no. 5 (2020): 547. http://dx.doi.org/10.3390/e22050547.

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The study investigates the potential of two new machine learning methods, least-square support vector regression with a gravitational search algorithm (LSSVR-GSA) and the dynamic evolving neural-fuzzy inference system (DENFIS), for modeling reference evapotranspiration (ETo) using limited data. The results of the new methods are compared with the M5 model tree (M5RT) approach. Previous values of temperature data and extraterrestrial radiation information obtained from three stations, in China, are used as inputs to the models. The estimation exactness of the models is measured by three statist

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Hasan, Isran K., Nurwan, Nur Falaq, and Muhammad Rezky Friesta Payu. "Optimization Fuzzy Geographically Weighted Clustering with Gravitational Search Algorithm for Factors Analysis Associated with Stunting." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 7, no. 1 (2023): 120–28. http://dx.doi.org/10.29207/resti.v7i1.4508.

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Stunting is a significant threat to the quality of human resources in Indonesia because stunting does not only involve physical growth disorders but can also cause children to be vulnerable to disease and experience disorders of brain development and intelligence. Many factors cause stunting, not only malnutrition in pregnant women and toddlers. Grouping can be done to make it easier to see the characteristics of the factors causing stunting in Indonesia. The grouping is done based on the similarity of the characteristics of the factors causing stunting in each province. This study used Fuzzy

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Song, Baoye, Yihui Xiao, and Lin Xu. "Design of fuzzy PI controller for brushless DC motor based on PSO–GSA algorithm." Systems Science & Control Engineering 8, no. 1 (2020): 67–77. http://dx.doi.org/10.1080/21642583.2020.1723144.

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14

Yang, Yang, Ming Li, and Xie Ma. "A Point Cloud Simplification Method Based on Modified Fuzzy C-Means Clustering Algorithm with Feature Information Reserved." Mathematical Problems in Engineering 2020 (October 20, 2020): 1–13. http://dx.doi.org/10.1155/2020/5713137.

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To further improve the performance of the point cloud simplification algorithm and reserve the feature information of parts point cloud, a new method based on modified fuzzy c-means (MFCM) clustering algorithm with feature information reserved is proposed. Firstly, the normal vector, angle entropy, curvature, and density information of point cloud are calculated by combining principal component analysis (PCA) and k-nearest neighbors (k-NN) algorithm, respectively; Secondly, gravitational search algorithm (GSA) is introduced to optimize the initial cluster center of fuzzy c-means (FCM) clusteri

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15

Singh, Varsha, S. Gupta, S. Pattnaik та Aarti Goyal. "A Novel Approach to GSA, GA and Wavelet Transform to Design Fuzzy Logic Controller for 1ϕ Multilevel Inverter". International Journal of Power Electronics and Drive Systems (IJPEDS) 7, № 4 (2016): 1200. http://dx.doi.org/10.11591/ijpeds.v7.i4.pp1200-1211.

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<p>This paper proposes a novel approach for obtaining a closed loop control scheme based on Fuzzy Logic Controller to regulate the output voltage waveform of multilevel inverter. Fuzzy Logic Controller is used to guide and control the inverter to synthesize a stepped output voltage waveform with reduced harmonics. In this paper, three different intelligent soft-computing methods are used to design a fuzzy system to be used as a closed loop control system for regulating the inverter output. Gravitational Search Algorithm and Genetic Algorithm are used as optimization methods to evaluate s

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16

Mohd Basri, Mohd Ariffanan, Abdul Rashid Husain, and Kumeresan A. Danapalasingam. "GSA-based optimal backstepping controller with a fuzzy compensator for robust control of an autonomous quadrotor UAV." Aircraft Engineering and Aerospace Technology 87, no. 5 (2015): 493–505. http://dx.doi.org/10.1108/aeat-11-2013-0194.

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17

Mahmoudi, S. M., and M. Aghaie. "Evaluation of fuzzy based HS and GSA on reloading cycle length optimization of PWR nuclear power plant." Annals of Nuclear Energy 134 (December 2019): 1–10. http://dx.doi.org/10.1016/j.anucene.2019.05.058.

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18

Harandizadeh, Hooman, Danial Jahed Armaghani, and Edy Tonnizam Mohamad. "Development of fuzzy-GMDH model optimized by GSA to predict rock tensile strength based on experimental datasets." Neural Computing and Applications 32, no. 17 (2020): 14047–67. http://dx.doi.org/10.1007/s00521-020-04803-z.

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19

Azali, Shahin, and Mansour Sheikhan. "Intelligent control of photovoltaic system using BPSO-GSA-optimized neural network and fuzzy-based PID for maximum power point tracking." Applied Intelligence 44, no. 1 (2015): 88–110. http://dx.doi.org/10.1007/s10489-015-0686-6.

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20

Nanda Kumar, S., and Nalin Kant Mohanty. "Modified Golden Jackal Optimization Assisted Adaptive Fuzzy PIDF Controller for Virtual Inertia Control of Micro Grid with Renewable Energy." Symmetry 14, no. 9 (2022): 1946. http://dx.doi.org/10.3390/sym14091946.

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Frequency regulation of low inertia symmetric micro grids with the incorporation of asymmetric renewable sources such as solar and wind is a challenging task. Virtual Inertia Control (VIC) is the idea of increasing micro grids’ inertia by energy storage systems. In the current study, an adaptive fuzzy PID structure with a derivative filter (AFPIDF) controller is suggested for VIC of a micro grid with renewable sources. To optimize the proposed controllers, a modified Golden Jackal Optimization (mGJO) has been proposed, where variable Sine Cosine adopted Scaling Factor (SCaSF) is employed to ad

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21

Kolekar, Sucheta V., Radhika M. Pai, and Manohara Pai M M. "Prediction of Learner’s Profile based on Learning Styles in Adaptive E-learning System." International Journal of Emerging Technologies in Learning (iJET) 12, no. 06 (2017): 31. http://dx.doi.org/10.3991/ijet.v12i06.6579.

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The major requirement of present e-learning system is to provide a personalized interface with adaptiveness. This is possible to provide by analyzing the learning behaviors of the learners in the e-learning portal through Web Usage Mining (WUM). In this paper, a method is proposed where the learning behavior of the learner is captured using web logs and the learning styles are categorized according to Felder-Silverman Learning Style Model (FSLSM). Each category of FSLSM learner is provided with the respective content and interface that is required for the learner to learn. Fuzzy C Means (FCM)

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Sarkar, Mrinal Kanti, Subrata Banerjee, Sakti Prasad Ghoshal, and Tapas Kumar Saha. "Adaptive fuzzy parameter scheduling scheme for GSA based optimal proportional integral derivative and lag-lead control of a DC attraction type levitation system." International Journal of Automation and Control 6, no. 2 (2012): 174. http://dx.doi.org/10.1504/ijaac.2012.048655.

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23

Mohamadzadeh, Parviz, Samereh Pourmoradian, Bakhtiar Feizizadeh, Ayyoob Sharifi, and Mathias Vogdrup-Schmidt. "A GIS-Based Approach for Spatially-Explicit Sustainable Development Assessments in East Azerbaijan Province, Iran." Sustainability 12, no. 24 (2020): 10413. http://dx.doi.org/10.3390/su122410413.

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We propose an efficient integrated approach of spatial decision-making systems and geographical information science for spatially explicit sustainable development mapping. The approach was developed, and its efficiency examined for sustainability assessment in East Azerbaijan Province, Iran. To achieve this goal, sustainable development indicators were employed through GIS decision rule and spatial analysis. Accordingly, 13 main criteria and 44 sub-criteria were identified and prepared as GIS dataset. The fuzzy analytical network process (FANP) method was employed to derive the criteria weight

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Houssein, Essam H., Gaber M. Mohamed, Nagwan Abdel Samee, Reem Alkanhel, Ibrahim A. Ibrahim, and Yaser M. Wazery. "An Improved Search and Rescue Algorithm for Global Optimization and Blood Cell Image Segmentation." Diagnostics 13, no. 8 (2023): 1422. http://dx.doi.org/10.3390/diagnostics13081422.

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Image segmentation has been one of the most active research areas in the last decade. The traditional multi-level thresholding techniques are effective for bi-level thresholding because of their resilience, simplicity, accuracy, and low convergence time, but these traditional techniques are not effective in determining the optimal multi-level thresholding for image segmentation. Therefore, an efficient version of the search and rescue optimization algorithm (SAR) based on opposition-based learning (OBL) is proposed in this paper to segment blood-cell images and solve problems of multi-level th

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Nadakuditi, Gouthamkumar, Harish Pulluri, Preeti Dahiya, et al. "Non-Dominated Sorting-Based Hybrid Optimization Technique for Multi-Objective Hydrothermal Scheduling." Energies 16, no. 5 (2023): 2316. http://dx.doi.org/10.3390/en16052316.

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Short-term hydrothermal scheduling problem plays an important role in maintaining a high degree of economy and reliability in power system operational planning. Since electric power generation from fossil fired plants forms a major part of hydrothermal generation mix, therefore their emission contributions cannot be neglected. Hence, multi-objective short term hydrothermal scheduling is formulated as a bi-objective optimization problem by considering (a) minimizing economical power generation cost, (b) minimizing environmental emission pollution, and (c) simultaneously minimizing both the conf

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Srinivasan N. and Lakshmi C. "Stock Price Prediction Using Fuzzy Time-Series Population Based Gravity Search Algorithm." International Journal of Software Innovation 7, no. 2 (2019): 50–64. http://dx.doi.org/10.4018/ijsi.2019040105.

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The main motive of this research is to predict the future stock value of the particular day with minimum variation from the actual value of stock. In this research, a genetic algorithm-based gravity search algorithm is proposed for stock market prediction. It will be helpful for short-term investors in the National stock market. Some important factors that affect the value of stock are total stocks traded, total turnover of the company, gross domestic product (GDP) of the country, GDP per capita and political or external factors are some of the main factors that affect the stock value of that

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"An Efficient Optimized Fuzzy Inference System based Intrusion Detection in Cloud Environment." International Journal of Innovative Technology and Exploring Engineering 8, no. 12 (2019): 4285–95. http://dx.doi.org/10.35940/ijitee.l2711.1081219.

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Security incidents namely, Denial of service (DoS), scanning, virus, malware code injection, worm and password cracking are becoming common in a cloud environment that affects the company and may produce an economic loss if not detected in time. These problems are handled by presenting an intrusion detection system (IDS) in the cloud. But, the existing cloud IDSs affect from low detection accuracy, high false detection rate and execution time. To tackle these issues, in this paper, gravitational search algorithm based fuzzy Inference system (GSA-FIS) is developed as intrusion detection. In thi

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"Clustering of Huge Data with Fuzzy C-Means and applying Gravitational Search Algorithm for Optimization." International Journal of Recent Technology and Engineering 8, no. 5 (2020): 3206–9. http://dx.doi.org/10.35940/ijrte.d9130.018520.

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There is a lot of bulk data which can be efficiently structured using some Clustering mechanism, among these mechanisms Fuzzy C-Means (FCM) Clustering technique is very new and can handle this bulk data logically and in a well precise mode. FCM is a better technique when compared to K-Means as FCM is designed with Fuzzy Concerns. But clustering only cannot give precise outcome, that’s the reason we are involving an Optimization technique for tuning the results and Gravitational Search Algorithm (GSA) Optimization can makes the outcome more precise. GSA is concerned with gravity principles. GSA

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"Adaptive Region Growing Image Segmentation Algorithms for Breast MRI." International Journal of Recent Technology and Engineering 8, no. 3 (2019): 8729–32. http://dx.doi.org/10.35940/ijrte.c5912.098319.

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Early detection and characterization of breast lesion are important for a better and effective treatment of breast cancer. In this paper, four different adaptive region growing image segmentation algorithms are compared. In fact, seed selection was a vital step in the success of region growing methods, so, better schemes for seed selection methods are proposed, namely, joint probabilistic seed selection (JPSS) and Generalised simulated annealing (GSA) based seed selection. The proposed region growing methods namely Fuzzy Region Growing (FRG) and Neutrosophic Region Growing (NRG) are integrated

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30

Das, Nitish, and Aruna Priya P. "FB-GSA: A fuzzy bi-level programming based gravitational search algorithm for unconstrained optimization." Applied Intelligence, October 17, 2020. http://dx.doi.org/10.1007/s10489-020-01884-0.

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Shafiekhani, Sajad, Nematollah Gheibi, and Azam Janati Esfahani. "Combination of anti-PD-L1 and radiotherapy in hepatocellular carcinoma: a mathematical model with uncertain parameters." SIMULATION, November 19, 2022, 003754972211338. http://dx.doi.org/10.1177/00375497221133846.

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Blockade of programmed death-ligand-1 (PD-L1) as a new method of immunotherapy for cancers has shown limited efficacy in hepatocellular carcinoma (HCC). The combination of anti-PD-L1 and radiotherapy (RT) enhances the antitumor effect in HCC cancer. The efficacy and interactions of these treatments can be addressed by a mathematical model. We developed a mathematical model using a set of ordinary differential equations (ODEs). The variables include cancer cells, cytotoxic T lymphocytes (CTLs), programmed cell death-1 (PD-1), PD-L1, anti-PD-L1, and ionizing radiation. The model is parameterized

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Sushmitha, R., S. Chitra Devi, A. Manjula, and R. Niraimathi. "A novel methodology to capture the maximum power from variable speed wind turbines using fuzzy proportional integral Controllers, modified PSO-GSA algorithm." Materials Today: Proceedings, February 2021. http://dx.doi.org/10.1016/j.matpr.2020.12.905.

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"Ascertaining Abnormal Regions in Mammogram Images using Gravitational Search Local Map View Technique." International Journal of Innovative Technology and Exploring Engineering 8, no. 9 (2019): 1861–68. http://dx.doi.org/10.35940/ijitee.i8416.078919.

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Segmentation of mammogram images has gained importance in many medical treatments and diagnostic processes. Mammogram image segmentation aims at correctly separating different tissues, organs, or pathologies in volumetric image data. Most of the existing algorithms for image segmentation have a "scattered" cluster problem (disconnected clusters) happened in many clustering techniques (agglomerative, k-means, Dbscan) . Above algorithms not taken into account of both quality value and connectivity of points and region varying shapes. Two methods are proposed in this paper. The first technique is

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EL-SAYED M. SAKR, Mohamed, and Mohamed A. MOUSTAFA HASSAN. "Satellite Tracking Control System Using Optimal Variable Coefficients Controllers Based on Evolutionary Optimization Techniques." El-Cezeri Fen ve Mühendislik Dergisi, April 27, 2023. http://dx.doi.org/10.31202/ecjse.1214722.

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Satellite tracking control system is mechanism that redirects the parabolic antenna to the chosen satellite automatically. It perfectly tracks the satellite as it spins across the sky in its orbit. To maintain a continuous communication signal throughout multiple satellite tracking missions, the tracking process must be fast and smooth, with minimal deviations from the target position. Various controller models have been presented over time to address the problem of antenna positioning in satellite systems and to track moveable targets using servomechanism. The purpose of this study is to desc

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Dong, Jie, Lu Wang, Yanru Xing, et al. "Dynamic peripheral blood microRNA expression landscape during the peri-implantation stage in women with successful pregnancy achieved by single frozen-thawed blastocyst transfer." Human Reproduction Open, August 29, 2023. http://dx.doi.org/10.1093/hropen/hoad034.

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Abstract STUDY QUESTION What are the dynamic expression features of plasma microRNAs (miRNAs) during the peri-implantation period in women with successful pregnancy via single frozen-thawed blastocyst transfer? SUMMARY ANSWER There is a significant change in the plasma miRNA expression profile before and after blastocyst transfer, during the window of implantation. WHAT IS KNOWN ALREADY The expression of miRNAs in peripheral blood has indicative functions during the peri-implantation period. Nevertheless, the dynamic expression profile of circulating miRNAs during the peri-implantation stage i

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