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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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A Survey on Ant Colony Optimization Algorithm for Travelling Salesman Problem
Abstract: The ant colony optimization algorithm, abbreviated as ACO, is a meta-heuristic optimization algorithm which is based on the probability for solving different computational problems such as travelling salesman problem (TSP), job scheduling problem, vehicle routing problem etc. This algorithm is a member of ant colony algorithms family in swarm intelligence methods, which is based on the foraging behaviour of real ants. This paper presents a review on a variety of …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 1, 2018 · pp. 33–38 Read article
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A novel approach based on Genetic Algorithm for High Dynamic Range Image
Abstract: In this paper, for the purpose of acquiring ghost free high dynamic range (HDR) pictures, we introduce another methodology which is taking into account genetic algorithms. It is the combination of numerous pictures which is in view of HDR system, just on condition is utilized for work which is no development of an article and the camera when catching various, differently exposed low dynamic range (LDR) pictures. Makes three LDR …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 2, Issue 3, 2015 · pp. 20–29 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.Cite this ArticlePujara Charmy, Kothari AM. Genetic algorithm for shortest path routing problem. Research & Reviews: Discrete Mathematical Structures. 2015; 2(3): 36–39p.
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 2, Issue 3, 2015 · pp. 36–39 Read article
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Comparative Study on Various Security Algorithms in Cloud Computing
Abstract: Cloud computing is a model for enabling, convenient, network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction. It is often provided "as a service" over the Internet, remote access server typically in the form of infrastructure as a service (IaaS), platform as a service (PaaS), or software as a service (SaaS). This paper deals …
Published in Recent Trends in Programming languages · Vol. 2, Issue 1, 2015 · pp. 1–6 Read article
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Intrusion Detection System with Machine Learning Algorithms
Abstract: Machine learning has become increasingly relevant in recent years, including in IT security. Algorithms are used to train intrusion detection systems to be able to react to new attack vectors. In this work, the basics of machine learning are explained and the results of two research projects are presented in order to investigate which algorithms are suitable for training a machine-learning intrusion detection system. In addition, the software library Scikit-Learn …
Published in Journal of Advancements in Robotics · Vol. 10, Issue 3, 2023 · pp. 28–37 Read article
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Comparative Analysis of Supervised Learning Algorithms for the Traffic Accident Prediction Under Rural and Urban Areas
Abstract: The features of different mechanisms for safety to traffic accidents are the biggest challenge for the automobile manufacturing industry in rural and urban areas. The objective of this work is to address the challenge of safety in traffic accidents by developing an accurate prediction model for identifying patterns in the different scenarios for preventing traffic accidents using accurate prediction. The machine learning algorithm is used to easily predict the traffic …
Published in Journal of Advancements in Robotics · Vol. 10, Issue 3, 2023 · pp. 20–27 Read article
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Fuzzy Based Clustering Algorithm Rebroadcast with Ant Colony Based Cluster Head Selection for Minimizing the Routing Overhead in Mobile Ad-Hoc Networks
Abstract: Mobile Ad-hoc Networks (MANET) are built with no sort of management, rendering the quality of servicedespite the routing overhead. With MANET, mobile hosts cannot interact with other hosts in a single hop.In the case of multi-hop, packets transmitted by the source host get relayed with the help of multipleintermediate hosts prior to its arrival at the destination host. Owing to the node movement in MANETs,path outages and route discoveries happen …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 8, Issue 2, 2021 · pp. 12–27 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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Harmony Search Algorithm For PAPR Reduction
Abstract: Normal 0 false false false EN-US X-NONE X-NONE Orthogonal frequency division multiplexing (OFDM) is just about the finest technology used not long ago within connection CPA networks. It offers a number of rewards which include excessive spectral effectiveness, improved funnel convenience of the actual given electrical power finances and the likes. Not-withstanding these kinds of rewards, OFDM owns particular negatives likewise, such as inter-block disturbance (IBI), inter-carrier disturbance (ICI) along …
Published in Recent Trends in Electronics Communication Systems · Vol. 3, Issue 1, 2016 · pp. 29–34 Read article
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Audio De-noising using Adaptive Inertia Weight Particle Swarm Optimization Algorithm (AIW-PSO)
Abstract: There has been a lot of research in Audio de-noising so far but scope for improvement is always there. The motivation to use AIW-PSO algorithm as a possible alternative is to explore new ways to reduce global cost and to achieve better noise reduction performance. Particle swarm optimization is a heuristic stochastic evolutionary algorithm. However, standard PSO provides unbalanced exploration and exploitation. This paper presents a methodology to improve the …
Published in Recent Trends in Electronics Communication Systems · Vol. 4, Issue 2, 2017 · pp. 11–18 Read article
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Biological Network Clustering using Distance and Graphical Network Algorithm
Abstract: Clustering is a process of grouping together similar data items together based on certain percentage of similarity or certain amount of threshold value. The study of the protein-protein interaction is an important task as this is necessary in order to identify how the proteins are grouped together and how they interact with each other. This process of studying or identifying the protein-protein interaction so far done anciently is followed by …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 5, Issue 1, 2015 · pp. 6–14 Read article
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Loan Prediction Using Random Forest Algorithm
Abstract: With the growth of the banking sector, more and more people are applying for bank loans. All of these loans are not allowed. The principal income of bank assets arises from the interest earned on the loan. Bank profit or loss depends largely on the amount of the loan, i.e., whether customers pay off the loan or fail. The main purpose of banks is to invest their assets in secure …
Published in Journal of Advanced Database Management & Systems · Vol. 9, Issue 4, 2022 · pp. 33–39 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. 14, Issue 4, 2023 · pp. 37–42 Read article
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Searching Substring in O(n) Time Complexity
Abstract: This research paper presents a highly efficient algorithm for substring search within a given string, achieving a remarkable time complexity of O(n). The proposed algorithm utilizes a two-pointer approach to compare the given string with the targeted substring. By employing string concatenation, the algorithm dynamically constructs a resultant substring during the matching process. Upon completion of character matching, the algorithm compares the resultant substring with the targeted substring and returns …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 1, 2023 · pp. 9–15 Read article
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Federated Learning: A Comprehensive Review of Models, Algorithms, and Business Applications
Abstract: In an age where data privacy is a significant concern, federated learning (FL) has become a game-changing method in machine learning. This decentralized model enables various parties to work together on training models without exchanging their raw data, effectively tackling the issues posed by data silos and privacy regulations. This article explores the current state of FL, including its underlying models and algorithms, practical applications, benefits, challenges, and future directions. …
Published in Current Trends in Information Technology · Vol. 14, Issue 3, 2024 · pp. 1–9 Read article
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Path Planning using DDPG Algorithm and Univector Field Method for Intelligent Mobile Robot
Abstract: Path planning is one of the most fundamental challenging tasks in robotics and its purpose is to lead the robot from the initial position to the goal without any collision through the optimal route. With the rapid development of artificial intelligence technology, AI has been widely studied for robot path planning and a method by deep reinforcement learning (DRL) was proposed. In general, path planning methods with DRL need discrete …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 2, Issue 2, 2024 · pp. 1–9 Read article
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Advanced Anomaly Detection in Cloud Infrastructures Using Deep Learning Algorithms
Abstract: It is critical to guarantee the stability and security of cloud environments as cloud computing is becoming the backbone of contemporary IT infrastructures. Neglecting to quickly identify and resolve anomalies, which might point to security breaches, performance problems, or system breakdowns, can lead to disastrous outcomes. The increasing size and complexity of cloud infrastructures are challenging the effectiveness of traditional anomaly detection methods. These approaches often depend on rule-based systems …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 1–11 Read article
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Real-Time Object Detection and Tracking in Traffic Surveillance: Implementing Algorithms That Can Process Video Streams for Immediate Traffic Monitoring
Abstract: The rapid growth in urban development and traffic congestion calls for adopting high standards of traffic surveillance systems for monitoring. This paper reviews the current advancement and future trends of real-time object detection and tracking technology and its implications for traffic surveillance. Conventional approaches to traffic monitoring can provide more or less accurate data, but they are not easily scalable and cannot cope with rapidly changing conditions typical within urban …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 1, 2025 · pp. 18–39 Read article
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Comprehensive Analysis of Counting by Sorting
Abstract: Sorting algorithms play an important role in computer science, as they facilitate the effective organization and retrieval of data. Counting sort is a non-comparative integer sorting algorithm that works well with a limited number of integers known beforehand. The process, advantages, and limitations of this sorting algorithm were investigated in this study. Unlike other comparison-based sorting algorithms, counting sort achieves a time complexity of O(n+k), which depends on the input …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 2, 2024 · pp. 1–6 Read article
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Advancements in K-Means Clustering: Boosting Algorithm Performance through Innovations
Abstract: K-Means clustering is a widely used unsupervised learning algorithm for partitioning a dataset into distinct clusters. Despite its popularity and simplicity, K-Means has several limitations, such as sensitivity to initial centroids, convergence to local minima, and inefficiency with large datasets. This paper reviews recent advancements aimed at addressing these challenges and enhancing the performance of the K-Means algorithm. Innovations include improved initialization methods, such as K-Means++, which significantly reduce the …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 30–37 Read article