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97 articles for “genetic algorithms (GA)”
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Analysis of Image Watermarking Techniques against Various Noise Attacks for Medical Images using Genetic Algorithm (GA)
Abstract: In this paper, we have presented a dual secure digital image watermarking algorithm based on discrete wavelet transforms (DWT), lifting wavelet transforms (LWT) and singular value decomposition (SVD) using genetic algorithm (GA) for medical images. The natural image is chosen as cover image and is decomposed up to three levels using discrete wavelet transform. The medical image is chosen as a watermark. The genetic algorithm is used to embed and …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 2, Issue 3, 2015 · pp. 36–44 Read article
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Comparison Performance Analysis of Multi-Wavelet Based Watermarking Techniques for Medical Images Using Genetic Algorithm (GA)
Abstract: In this paper, the scaling factor of the watermark is the significant parameter that helps in improving the imperceptibility and robustness against attacks. The tradeoff between the imperceptibility and robustness is considered as an optimization problem and is solved by applying genetic algorithm (GA). The water marking is proposed to be implemented using a hybrid approach which encompasses discrete wavelet transforms (DWT), lifting wavelet transforms (LWT) and singular value decomposition …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 1, 2016 · pp. 15–23 Read article
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Design Optimization of Microstrip Antenna with EBG and DGS Using the Genetic Algorithm to Reduce the Mutual Coupling
Abstract: The purpose of this paper is to construct, create, and reproduction of different antenna structures using electromagnetic band gap (EBG) materials and defected ground structures (DGS). Microstrip antennas are processed in order to improve performance by changing the shape of the geometry of the antenna, in particular to reduce the mutual coupling between the elements. The propagation of electromagnetic waves in a specified frequency range have the unique ability to …
Published in Journal of Microwave Engineering and Technologies · Vol. 3, Issue 1, 2016 · pp. 11–30 Read article
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Perception Analysis of Social Network Tweets Using a Genetic Algorithm Based Approach
Abstract: We communicate, post different comments, communicating with different people in Social media. Different people of the world posted their views on COVID-19 during the pandemic. In this study we analysed the posted comments on social media. Analysis of the comment in social media is called sentiment analysis. We performed sentiment analysis on content from social media platforms, classifying it into either positive or negative categories. For this task, we proposed …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 10, Issue 2, 2023 · pp. 27–38 Read article
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A Comparison Study of Different Classification Algorithm on Brain Tumor Segmentation
Abstract: A brain tumor is a tissue mass caused by aberrant cell proliferation in the brain. It is a collection of tissues that causes hormonal alterations and eventually death. In order to save human lives, brain tumors prognosis and prevention is a difficult task. The use of modern medical image processing approaches has made the identification of brain tumors more flexible in recent years. Due to the absence of ionizing radiations, …
Published in Trends in Opto-electro & Optical Communication · Vol. 11, Issue 3, 2021 · pp. 1–7 Read article
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Applying Computational Intelligence in Software Testing
Abstract: This paper describes two computational techniques that can be used to automate generation of test cases. These techniques are Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). Both the algorithms are evaluated by varying parameters and recording the change in the results. A comparative study based on the results of these algorithms is also done. Cite this Article Saumya Dixit, Pradeep Tomar. Applying Computational Intelligence in Software Testing. Journal of …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 2, Issue 2, 2015 · pp. 7–11 Read article
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Modified Search Solutions Based ABC with Mutation Algorithm for TSP
Abstract: Swarm intelligence systems are basically made up of simple agents’ population, which are interacting locally with each other and with their surroundings. The artificial bee colony algorithm (ABC) is for aging behavior based optimization algorithm. In this paper, modified version of ABC algorithm, called as ABCM, is used. In this algorithm, two equations of original ABC algorithm are modified: First is the search equation of employed bee and second is …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 3, Issue 2, 2016 · pp. 39–43 Read article
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Nymphaea lotus (Indian Lotus) Analysis with Genetic Algorithm
Abstract: There is a significant problem with the availability of medicinal plants for the treatment of various diseases. Nymphaea lotus (Indian lotus) is one such plant, which is primarily available in the Indian subcontinent. This paper investigates the analysis of this medicinal plant with the help of a genetic algorithm. Himalayan yew, false black pepper, Indian snakeroot, and Indian lotus are four medicinal plants. These four have some unique medicinal values, …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 2, 2023 · pp. 18–22 Read article
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Optimization of Control Parameters Based on Genetic Algorithm Technique for Integrated Electrohydraulic Servo Actuator System
Abstract: Electrohydraulic servo systems have been used in industry in a wide number of applications. Its dynamics are complex and highly nonlinear, these features significantly add uncertainty to the controller design procedure. Therefore, it is a demanding task to obtain a precise mathematical model of controlled servo systems. The present paper presents the development of a detailed non-linear mathematical model of the ISA and a computer simulation program using MATLAB/SIMULINK package. …
Published in Journal of Mechatronics and Automation · Vol. 6, Issue 3, 2019 · pp. 24–41 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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Parallel Genetic Algorithm for Fuel Bundle Burnup Optimization of Pressurized Heavy Water Reactor
Abstract: In this study, parallel genetic algorithm (GA) was applied to solve an optimization problem of nuclear fuel management pertaining to a 220 MWe pressurized heavy water reactor (PHWR). The study aims at finding appropriate values of reference discharge burnups of two zones of the reactor core which gives maximum fuel economy, while satisfying operational and safety-related constraints. This is a multiobjective optimization problem with four objectives and four constraints. Penalty …
Published in Journal of Nuclear Engineering & Technology · Vol. 6, Issue 1, 2016 · pp. 11–24 Read article
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Estimation of Power System Stabilizer Parameters Using Swarm Intelligence Techniques to Improve Small Signal Stability of Power System
Abstract: Interconnection of the power system utilities and grids presents a formidable challenge in front of design engineers. With the interconnections, power system has emerged as a more complex and nonlinear system. In recent years, small signal stability issues have gained much importance along with the conventional transient stability issues. Transient stability of the power system can be achieved with high gain and fast acting automatic voltage regulators (AVRs). However, AVRs …
Published in Trends in Electrical Engineering · Vol. 6, Issue 2, 2016 · pp. 16–25 Read article
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Design Optimization of Three Phase Induction Motor: A Technological Review
Abstract: This paper is intended to review the significant development in design optimization of electrical motors in last decay. Contents in this review paper starts with introduction of induction motor and its role in the industry. Different optimization methods which can be applied to get best suited optimal design of induction motor to achieve best performance of machines are discussed. Genetic algorithm (GA) and particle swarm optimization (PSO) are two latest …
Published in Trends in Electrical Engineering · Vol. 6, Issue 1, 2016 · pp. 1–9 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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Optimization of TSP using Genetic Algorithm
Abstract: Genetic Algorithm (GAs) is used to solve optimization problems. It is depended on the selection operator, crossover and mutation rates. In this paper Mendel operator and its laws with different crossover & mutation probabilities, is used to solve well known optimization problem, Traveling Salesmen Problem (TSP). We have shown that there are some drawbacks present when we solve TSP with GA.Keywords: Genetic algorithm, Mendel operator, Travelling Salesmen Problem Cite this …
Published in Journal of Operating Systems Development & Trends · Vol. 2, Issue 1, 2015 · pp. 20–24 Read article
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The Coordinated Approach for Reactive Power Management of Deregulated Electricity Market
Abstract: RPM is an important ancillary service, especially in deregulated energy environment which contains two major areas: reactive power purchase and reactive power dispatch. Various technical and economic issues need to be considered in this market. This work shows RPD as the main optimization problem. As optimized electric power dispatch is important problem in electrical power systems. Cost infimumization, voltage stability improvement, losses minimization, and terminal voltage deviation minimization are important …
Published in Journal of Power Electronics and Power Systems · Vol. 9, Issue 2, 2019 · pp. 5–14 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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Test Time and Power Optimization of 2D SOCs Using GA and Greedy Algorithm
Abstract: This paper presents a genetic algorithm (GA) and greedy algorithm-based solution to co-optimize test scheduling under power constraint for core-based system-on-chips (SOCs). The core testing solutions are represented as set of wrapper configurations represented in rectangular bins of width equal to the test access mechanism (TAM) bandwidth and height equal to the corresponding test time. A best fit algorithm is used for the wrapper design. Experimental results are obtained for …
Published in Journal of Power Electronics and Power Systems · Vol. 5, Issue 2, 2015 · pp. 63–67 Read article
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Deploying Optimal Number of Sensors and Damage Detection in Structural Health Monitoring Using SEM-GA Method
Abstract: Detecting damages is the most important criterion in any engineering creation—be it a machine or a building. Among the engineering creation, civil engineering structures need a continuous monitoring to check their operations, performance and the health status of the structures. Damage detection cannot be done manually every time. Automated systems have to be developed in order to monitor the health of the structure periodically. Hence, structural health monitoring (SHM) aims …
Published in Current Trends in Signal Processing · Vol. 6, Issue 2, 2016 · pp. 28–35 Read article
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Machine Learning-Assisted Design and Optimization of Lightweight Polymer Composites for IoT-Enabled Automotive Applications
Abstract: This study aims to develop an integrated machine learning and optimization framework for the intelligent design of lightweight polymer composites suited for IoT-enabled automotive applications. The goal is to enhance material performance while satisfying multiple design constraints such as mechanical strength, thermal stability, and process compatibility. A curated dataset of polymer composite formulations was used to train a Random Forest Regression (RFR) model capable of predicting tensile strength, thermal conductivity, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 12–27 Read article