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1981 articles for “A* algorithm” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Genetic Algorithm: an Optimization Tool for Real World Problems
Abstract: AbstractThe main goal of this research work is to give the lesson on genetic algorithm with the help of evaluation concept of our environment. Genetic algorithm is a type of optimization algorithm, means it is used to find the optimal solution to a given computational problem that maximizes or minimizes a function. Genetic algorithms represent a branch of the field of study called evolutionary computation, in which they imitate the …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 9, Issue 3, 2019 · pp. 17–21 Read article
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Genetic Algorithm for Shortest Path Routing Problem
Abstract: This review paper presents a genetic algorithm approach to the shortest path routing problem. Its variable length chromosomes (string) and their genes (parameters) have been used for encoding the problem. The crossover operation exchanges partial routes.
Published in Journal of Microwave Engineering and Technologies · Vol. 3, Issue 1, 2016 · pp. 31–34 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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Optimization algorithms for multi objective problems and its application to sustainable sources for supplementing energy crisis
Abstract: Optimization, also called mathematical programming, is a collection of mathematical ideas and techniques used to solve quantitative issues in a variety of areas, including physics, biology, architecture, economics, and business. The subject evolved out of the recognition that quantitative issues in apparently disparate disciplines share significant mathematical features. As a result of this similarity, a wide variety of issues can be articulated and solved utilising the unified set of concepts …
Published in Journal of Microelectronics and Solid State Devices · Vol. 9, Issue 1, 2022 · pp. 19–25 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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Finding optimal solutions for an economic load dispatch problem considering thermal, solar and wind power plants by using salp swarm and northern goshawk optimization algorithms
Abstract: This paper proposes a new variant of the traditional economic load dispatch (NELD) problem. Unlike traditional economic load dispatch (TELD), generating sources in NELD are diversified with different types, including thermal, wind, and solar power plants. The reduction of total fuel consumption from thermal power plants is the main objective of this study. The Salp swarm algorithm and Northern Goshawk optimization are utilized to find the optimal solution for NELD. …
Published in Recent Trends in Electronics Communication Systems · Vol. 9, Issue 3, 2022 · pp. 1–11 Read article
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Power System Stabilizer Design based on Honey-Bee Mating Optimization Algorithm
Abstract: Power system stability is one of the main factors in performance of electrical system. A control system must retain frequency and voltage size under any distortion such as sudden increase in load, to leave a generator from circuit or cut off a transmission line in a constant level. In this paper, Honey-bee mating optimization (HBMO) algorithm has been used to design power system stabilizer. It is based on the mating …
Published in Trends in Electrical Engineering · Vol. 4, Issue 3, 2014 · pp. 18–25 Read article
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Cost Efficient Low Convergence ONU Placement Algorithm for Deployment of Fiber-Wireless (FiWi) Access Networks
Abstract: AbstractFiber-Wireless (FiWi) access networks provide an impressive platform for the emerging future applications by integrating the merits of optical networks and wireless networks. It offers reliability, robustness, long distance communication, high bandwidth of optical network and mobility, flexibility at a lower cost of wireless network. One of the major issues of FiWi network is its installation cost, which depends on the number of ONUs present in the network. In order …
Published in Trends in Opto-electro & Optical Communication · Vol. 6, Issue 1, 2016 · pp. 25–41 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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Deployment of Fi-Wi Networks Using Teaching Learning Based Optimization Algorithm
Abstract: AbstractThe demand of bandwidth and mobility to end users is ever increasing. For fulfilling this, fiber-wireless (Fi-Wi) networks are designed by integrating the advantages of optical and wireless networks. Optical networks offer high bandwidth and stability while wireless networks offer cost efficiency and mobility. With these advantages, Fi-Wi networks also offer some challenging issues. There are four key issues in Fi-Wi networks, that are ONU placement, routing, energy saving and …
Published in Journal of Communication Engineering & Systems · Vol. 7, Issue 2, 2017 · pp. 14–26 Read article
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Text Mining Algorithms in Social Media
Abstract: AbstractSocial networks are wealthy in different sorts of substance, for example, texts and multimedia. The capacity to apply text mining calculations viably with regards to content information is basic for a wide assortment of uses. Interpersonal organizations require text mining calculations for a wide assortment of uses, for example, watchword search, characterization, and bunching. While search and characterization are notable applications for a wide assortment of situations, interpersonal organizations have …
Published in Journal of Communication Engineering & Systems · Vol. 10, Issue 3, 2020 · pp. 26–29 Read article
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Sentiment Analysis on Financial News Using Deep Learning Algorithm
Abstract: Sentiment analysis is the technique of computationally figuring out and categorizing reviews or comments expressed in a bit of textual content, especially a good way to decide whether or not the writer's mind-set in the direction and also very helpful to identify the customer’s opinion about the particular product or content. It is one of the active and wanted research areas in natural language processing. In existing work, machine learning …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 1, 2021 · pp. 24–27 Read article
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Algorithm Visualization Using CI/CD
Abstract: The visualization of algorithms demonstrates how algorithms work more efficiently. Essentially, it seeks to simplify and automate the visualization of the algorithm. Using algorithm visualizations, we have discussed how standard algorithms can be taught more effectively and efficiently with automation and further can be used as open source. Our aim is to present a way to deploy our project using CI/CD which will be a far more efficient platform. Therefore, …
Published in Journal of Computer Technology & Applications · Vol. 13, Issue 1, 2022 · pp. 37–42 Read article
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Homomorphic Encryption Property Algorithms
Abstract: The demand for privacy of digital data increased over the last decade. The new invention in cryptography world is Homomorphic Encryption (HE). HE enables operation on cipher text without knowing the plaintext and private key. When receiver decrypts the result of any operation, it is the same as if the receiver carried out the calculation on the plain text. HE has some specific property. There are two properties in homomorphic …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 5, Issue 3, 2017 · pp. 7–11 Read article
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Predicting diabetes status using ensemble algorithms with hyperparameter tuning
Abstract: Diabetes is a condition in which the body is unable to produce enough insulin to keep blood sugar levels under control. If diabetes is not properly identified and treated, it can lead to kidney failure, nerve damage, blindness, and coronary heart disease. A healthy lifestyle, therefore, depends on the early identification of diabetes diseases. However, it can be difficult to assess a person's diabetic status if they live in remote …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 2, 2023 · pp. 1–9 Read article
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A Production Inventory Model in a Random Planning Horizon Incorporating Learning Effects on Inventory Costs Under Inflation and Time Value of Money via Genetic Algorithm
Abstract: A production inventory model for a new product is developed incorporating inflation and time value of money. It is assumed that lifetime of the product is random in nature and follows exponential distribution with a known mean. So planning horizon of the model is random in nature. Here learning effect on production and set-up cost is incorporated. Model is formulated to maximize the expected profit from the whole plan-ning horizon …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 1, Issue 2, 2014 · pp. 1–12 Read article
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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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An Iterative Framework for Sparse Signal Reconstruction Algorithms
Abstract: This paper focuses to different strategies will often improve the performance of many sparse reconstruction algorithms The sparse signal recovery problem has been the subject of extensive research over the last few Decades in several different research communities, including applied mathematics, statistics, and theoretical computer science. The goal of this research has been to obtain higher compression rates, stable recovery schemes, low encoding, update and decoding times and resilience to …
Published in Journal of Advancements in Robotics · Vol. 2, Issue 3, 2015 · pp. 25–29 Read article
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Implementing FP-Growth Algorithm using Map Reduce for Mining Association Rules
Abstract: Abstract: In mining frequent itemsets, one of most important algorithms is FP-growth. FP-growth proposes an algorithm to compress information needed for mining frequent itemsets in FP-tree and recursively constructs FP-trees to find all frequent itemsets. Map Reduce is a distributed processing framework where the application is divided into many fragments of work, each of which may be executed on any node on a cluster. The main objective of this paper …
Published in Journal of Advanced Database Management & Systems · Vol. 6, Issue 2, 2019 · pp. 18–29 Read article
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3D-IC Partitioning and TSV Sharing Optimization Algorithm
Abstract: Recent technologies are in need of shorter vertical interconnects, thus forcing the integration technology from 2D to 3D. Because more than 50% of dynamic power consumption is due to interconnects. As a solution, 3D integration consists of stacking integrated circuits and connecting them with short vertical interconnects. TSV is used to vertically connect the hardware components in different dies stacked in 3D ICs. But in floor planning TSVs are very …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 3, Issue 2, 2016 · pp. 6–10 Read article