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6 articles for “Tabu Search Algorithm”
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A Hybrid Approach for Test Path Generation and Prioritization using Depth First Search and Tabu Search Algorithm
Abstract: Software testing is one of the main phases of Software Development Life Cycle (SDLC). Software testing is used to reduce errors, reduce software cost and ensure the quality of the software. To ensure the correctness of the software, generation of test cases is the most important issue in software testing. Test cases can be derived from Unified Modelling Language (UML) models more efficiently. During test case development, there might be …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 2, Issue 2, 2015 · pp. 7–20 Read article
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Comparison of Control Strategies using Soft Computing Techniques for Shunt Active Power Filters in Aircraft Power Utility of 400 Hz
Abstract: Three different control strategies for extracting reference currents for shunt active power filters optimized using adaptive tabu search and genetic algorithm have been compared and their performance has been evaluated under different load conditions. The compensation ability of different control strategies will be compared and suggestion will be given for optimum strategy to be used under different loads. Simulation results using MATLAB have been included.Keywords: Active power filter (APF), constant …
Published in Journal of Aerospace Engineering & Technology · Vol. 4, Issue 1, 2014 · pp. 9–21 Read article
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A Novel Improved Model of Three-phase Shunt Active Power Filter using Adaptive Tabu Search and Genetic Algorithm in Aircraft Power Utility of 400 Hz
Abstract: A new improved model of aircraft shunt filter has been proposed in this paper. The shunt active power filter model has been improved using Adaptive Tabu Search Algorithm and Genetic Algorithm. ATS algorithm has been used to obtain the optimum value of parameters of the PI controller; whereas Genetic Algorithm has been used to find the optimum value of filter inductor used in active filter. The new improved model of …
Published in Journal of Power Electronics and Power Systems · Vol. 3, Issue 3, 2013 · pp. 6–14 Read article
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Simulation and Performance Based Comparison of Artificial Intelligence Based Shunt Active Power Filter in High Frequency Aircraft System for Power Quality Improvement
Abstract: Synchronous reference frame strategy for extracting reference currents for shunt active power filters have been optimized by using fuzzy logic control and adaptive tabu search algorithm respectively; their performances have been compared. The acute analysis of comparison of the compensation capability based on THD and speed will be done and recommendations will be given for the choice of technique to be used. The simulated results using MATLAB model are shown …
Published in Trends in Electrical Engineering · Vol. 6, Issue 1, 2016 · pp. 32–41 Read article
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Comparative Critical Analysis of Control Techniques Optimized using ATS Algorithm and Conventional Control Techniques Applied in Shunt Active Power Filter for Total Harmonic Reduction for Power Electronic Converters in High Frequency (400 Hz) Aircraft Sys
Abstract: Three different conventional control strategies used for extracting reference currents for shunt active power filter and optimization of these strategies using Adaptive Tabu Search have been compared and their performances have been evaluated under different balanced and unbalanced loads connected together. The compensation ability of different control strategies will be compared, and suggestion will be given for optimum. Simulation results using MATLAB have been included. Keywords: Active powers filter (APF), …
Published in Journal of Aerospace Engineering & Technology · Vol. 5, Issue 3, 2015 · pp. 44–52 Read article
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Automated Machine Learning System for Model Selection and Hyperparameter Optimization
Abstract: The proliferation of machine learning applications in various scientific and industrial domains has given rise to an urgent need for developing principled, automated techniques for optimal architecture selection and hyperparameter tuning for machine learning models without human expert intervention. In this paper, we introduce the Automated Machine Learning System for Model selection and hyperparameter Optimization (AMLSMO)—a state-of-the-art, all-encompassing AutoML system that combines the power of meta-learning-based warm-starting, Bayesian Optimization with …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 15–23 Read article