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509 articles for “optimization. Algorithm”
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Speed Control of PMSM using Optimization Methods
Abstract: AbstractThis paper represents a modelling and optimized design of speed control for a permanent magnet synchronous motor (PMSM). The PI controller of inner current loop is optimized using evolutionary algorithm like Particle Swarm Optimization (PSO) method. To illustrate effect of proposed method, the performance of evaluationary algorithm is compared with traditional optimization method i.e., Ziegler-Nichols method. The main objective of the proposed work are, develop mathematical modelling of PMSM motor …
Published in Journal of Microcontroller Engineering and Applications · Vol. 6, Issue 2, 2019 · pp. 8–16 Read article
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Optimal Size and Location of Capacitor Bank for Reactive Power Compensation Using Genetic Algorithm
Abstract: Power system operators are always faced with the dilemma of how to reduce the transmission loss. There are many ways to attain this target. In this thesis, new method for optimal capacitor placement for transmission loss minimization is planned. Proposed methods are based on the optimal capacitor placement formulations, which allow the cost benefit analysis and multi-objective optimization consideration of reactive power support investment. For better design of proposed methods, …
Published in Journal of VLSI Design Tools and Technology · Vol. 9, Issue 2, 2019 · pp. 28–34 Read article
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Optimization of Process Parameters in Wire EDM of HCHCrD2 using RSM-based Multi-objective Genetic Algorithm
Abstract: While precision is of paramount importance in machining of high strength conductive materials, Wire Electrical Discharge Machining (WEDM) is preferred. In the present work, experimental study has been carried to identify the appropriate process parameter settings for wire electrical discharge machining of high carbon high chromium D2 steel (HCHCrD2). The process parameters such as pulse peak current, pulse duration, pulse-off time, wire feed, wire tension and flushing pressure are considered. …
Published in Journal of Mechatronics and Automation · Vol. 5, Issue 1, 2018 · pp. 6–10 Read article
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Multi Objective Optimization of Weld Bead Geometry Parameters of Pulsed Current Micro Plasma Arc Welded Inconel 625 Using Enhanced Non-dominated Sorting Genetic Algorithm
Abstract: Pulsed Current Plasma Arc Welding (PCPAW) is one of the most widely used welding processes in sheet metal manufacturing industry. In any fusion arc welding process, the weld bead geometry plays an important role in determining the mechanical properties of the weld and hence, quality of the weld. Moreover, the geometry of weld bead involves several simultaneously multiple quality characteristics such as front width, back width, front height and back …
Published in Journal of Materials & Metallurgical Engineering · Vol. 3, Issue 1, 2013 · pp. 17–24 Read article
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Optimizating Pitting Corrosion in 3.5 N NaCl Medium of Pulsed Current Micro Plasma Arc Welded AISI 304L Sheets Using Genetic Algorithm
Abstract: Austenitic stainless steel sheets have gathered wide acceptance in the fabrication of components, which require high temperature resistance and corrosion resistance, such as metal bellows used in expansion joints in aircraft, aerospace and petroleum industry. In case of single pass welding of thinner sections of this alloy, pulsed current micro plasma arc welding (PCMPAW) was found beneficial due to its advantages over the conventional continuous current process. This paper highlights …
Published in Journal of Materials & Metallurgical Engineering · Vol. 2, Issue 1-3, 2012 · pp. 132–142 Read article
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Optimizing Residential Energy Costs with PEV-based Energy Storage and Particle Swarm Optimization
Abstract: This research addresses the critical challenge of optimizing electrical energy usage amidst the increasing integration of variable renewable energy sources and the widespread adoption of electric vehicles (EVs). The core objective is to alleviate the energy cost burden for residential consumers by leveraging the capacity of Plug-in Electric Vehicles (PEVs) as an auxiliary energy source. Through innovative utilization of PEVs for both charging and discharging actions based on dynamic electricity …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 14, Issue 3, 2024 · pp. 19–29 Read article
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Application of Grey Wolf Optimizer (GWO) strategy for Malware Analysis
Abstract: The ever-evolving landscape of cybersecurity necessitates continuous advancements in malware analysis techniques. This study explores the deployment of the Grey Wolf Optimizer (GWO) algorithm as a novel bio-inspired optimization mechanism to address the challenges posed by modern malware threats. The primary objective is to enhance various facets of malware analysis, including feature selection, parameter optimization, and the overall efficacy of malware detection models. The study begins by introducing the GWO …
Published in International Journal of Wireless Security and Networks · Vol. 1, Issue 2, 2023 · pp. 43–53 Read article
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Design of PID Controller using PSO Algorithm for PFR System
Abstract: AbstractThe paper presents to design Proportional-Integral Derivative (PID) controller parameters for PFR system using Particle Swarm Optimization (PSO) Algorithm. The design goal is to minimize the optimal parameters of the integral errors and reduce transient response by minimizing overshoot, settling time and rise time of step response. First an objective function is defined, and then by minimizing the objective functions using PSO Algorithm. The PFR system is very important equipment …
Published in Current Trends in Signal Processing · Vol. 8, Issue 3, 2018 · pp. 24–28 Read article
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Optimizing Sizes And Locations Of Wind Turbines In Ieee 33-Node Distribution System For Loss Reduction By Using Moutaint Gazelle Algorithm
Abstract: This study applies a novel meta-heuristic, called Moutaint gazelle algorithm (MGO) to determine the optimal sizes and locations of wind turbines to place in distribution networks for loss reduction. The IEEE 33-bus distribution system is a test system for conducting the whole study. The results obtained by MGO are compared to those obtained by another meta-heuristic algorithm, called Artificial Hummingbird Algorithm (AHA). The comparison between the two methods indicated that, …
Published in Journal of Thermal Engineering and Applications · Vol. 9, Issue 3, 2022 · pp. 16–23 Read article
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Incremental Conductance Algorithm and Perturb and Observe Algorithm Reveals Key Insights into Their Comparative Analysis: A Review
Abstract: The maximum or more is a crucial aspect of PV systems to optimize energy harvesting from solar panels, which have been the focus of extensive research and implementation. This study presents a comprehensive comparative analysis of these two methods of evaluation to evaluate their performance and suitability for various operating conditions. The Perturb and Observe method, a simple and widely adopted MPPT algorithm, involves perturbing the operating point and observing …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 9–16 Read article
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Performance Analysis of DNA Sequencing Using Smith-Waterman Algorithm on FPGA
Abstract: The Smith-Waterman algorithm is the most accurate and optimal alignment algorithm for DNA sequencing. It is utilized to locate the ideal local alignment between two sequences. While looking sequence databases that may contain billions of sequences, this algorithm turns out to be computationally costly and tedious. Smith-Waterman algorithm needs additional memory space and this constrains the extent of a sequence to be aligned. In this study we will implement the …
Published in Journal of VLSI Design Tools and Technology · Vol. 9, Issue 2, 2019 · pp. 8–12 Read article
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Optimization of Continuous Cast Steel in Steel Manufacturing Industry
Abstract: Steel industry has given a wide exposure for the researchers, academicians and professionals to deal with even minute plethora and dots to come up with new innovations and creativity. In order to increase the affordability and accessibility, the continuous casting is optimized through various processes and levels. Optimization is required to be done on discovering a range of water flow rate, material properties, thermal heat transfer factors and oscillation parameters …
Published in Trends in Mechanical Engineering & Technology · Vol. 9, Issue 2, 2019 · pp. 7–11 Read article
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Energy Management of a Solar Powered Electric Vehicle with Multiple-Energy Storage via Optimized Fuzzy Controller
Abstract: The optimum energy management is the main challenge of powered electric vehicles (EVs) with multiple energy storage systems. The solar powered EVs are enabled with multiple energy sources and storages, and so, achieving the optimum energy management schedule is a complicated optimization problem. This paper develops an optimized fuzzy controller using genetic algorithm (GA) for energy management of solar powered EV equipped with photovoltaic cells as well as two power …
Published in Journal of Control & Instrumentation · Vol. 7, Issue 3, 2016 · pp. 28–38 Read article
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Wavelets-based Denoising by Optimizing Polynomial Threshold Function
Abstract: In this paper, a wavelets-based technique for denoising of one-dimensional signals is proposed which employs artificial bee colony (ABC) algorithm for optimizing a new polynomial threshold function. The coefficients of the threshold function are optimized dynamically to maximize the output signal to noise ratio (SNR). ABC algorithm calculates the coefficients for maximum output SNR. The proposed technique is tested for three artificial signals, namely blocks, bumps and Doppler signals. Additive …
Published in Current Trends in Signal Processing · Vol. 4, Issue 2, 2014 · pp. 11–23 Read article
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Computation of IIR Filter Coefficient using Genetic Algorithm
Abstract: In the proposed paper the filter coefficient of the infinite impulse response filter is estimated by using genetic algorithm. Genetic algorithm is a computational optimization technique which optimizes fitness function. The paper finds the optimum coefficient of the infinite impulse response filter and compares it to the filter coefficients obtained after conversion of analog filter into digital infinite impulse response filter. It is found that the coefficients obtained after genetic …
Published in Current Trends in Signal Processing · Vol. 5, Issue 2, 2015 · pp. 24–26 Read article
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A Study on Economic Dispatch Solution with Environmental Issue Using Genetic Algorithm
Abstract: This paper attempts to solve the problem of economic load dispatch (ELD) keeping in view the environmental issue of ever increasing pollution which leads to the various health issues. It is important to check and control the emission as well. Besides the classical ELD constraints, valve point loading effect and emission constraints are also considered and generators are scheduled for the most optimum solution. The researcher attempts to study the …
Published in Trends in Electrical Engineering · Vol. 6, Issue 1, 2016 · pp. 10–16 Read article
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Optimal Allocation of FACTS Devices Using Quantum Inspired Evolutionary Programming
Abstract: Quantum Inspired Evolutionary Programming (QIEP) is an optimization technique that combines the benefits of quantum computing and evolutionary algorithms together. In this paper this technique is used to find optimal allocation of Flexible AC Transmission System (FACTS) devices. The results are compared with the results found from genetic algorithms (GAs). Based on the results it can be concluded that QIEP technique is better than GAs. Keywords: QIEP, quantum computing, evolutionary …
Published in Trends in Electrical Engineering · Vol. 5, Issue 1, 2015 · pp. 23–27 Read article
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Optimization of ED Problems of Interconnected Power System Using Particle Swarm Optimization
Abstract: This paper proposes an effective and useful evolutionary-based method to solve the economic load dispatch (ELD) problem. This paper introduces particle swarm optimization (PSO) technique for solving the economic dispatch (ED) problem in power system. ELD problem is really the solution of a large number of load flow problem with equality & inequality constraints. In this paper, a PSO technique for solving the ELD problem in power system is proposed. …
Published in Journal of Power Electronics and Power Systems · Vol. 5, Issue 1, 2015 · pp. 1–8 Read article
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Comparison of Models of Machine Learning and Hyperparameter Optimization Methods on Various Datasets
Abstract: The most likely phase in achieving powerful and robust machine learning models is probably the hyperparameter tuning step. The traditional exhaustive methods of search (grid search and others) ensure that the search space is covered, but are computationally inexpensive; random search is less expensive and can still miss good regions; and lastly, the modern model-based and population-based methods (Bayesian optimization, tree-structured Parzen estimator (TPE), genetic algorithms) are thought to provide …
Published in Recent Trends in Programming languages · Vol. 13, Issue 1, 2026 · pp. 35–42 Read article
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Genetic Algorithm Application for Efficient Load Frequency Control
Abstract: Load frequency control (LFC) is known to be significant control strategy for operation in electric power grid that entails balancing the electrical power provided by power plants with the electrical power consumed by the load. The primary purpose of LFC is to ensure that the power system functions within a specific frequency range and that the power provided by power plants matches the power used by the load. Power system …
Published in Journal of Control & Instrumentation · Vol. 14, Issue 3, 2023 · pp. 1–14 Read article