Search Results - _ ((((implication algorithm) OR (replication algorithm))) OR (optimization algorithm))
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Online Dynamic Replication and Placement Algorithms for Cost Optimization of Online Social Networks in Two-tier Multi-cloud
Published 2024Subjects: “…Access latency Cost optimization Data placement Data replication Online algorithm Online social network…”
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Efficient multi-cloud storage using online dynamic replication and placement algorithms for online social networks
Published 2024“…The DTS algorithm establishes the replication and placement of objects using deterministic time slots, while the RTS algorithm is based on randomized time slots. …”
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Efficient Multi-Cloud Storage Using Online Dynamic Replication and Placement Algorithms for Online Social Networks
Published 2024Subjects:journal::journal article -
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Online dynamic replication and placement algorithms for cost optimization of online social networks in two-tier multi-cloud
Published 2024“…The first algorithm is Dynamic Fixed Time (DFT) which uses fixed time periods to adapt replication and placement. …”
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A dynamic replication aware load balanced scheduling for data grids in distributed environments of internet of things
Published 2018“…The simulation of the proposed algorithm shows promising results and better performance compared to the current state-of-the-art Modified Dynamic Hierarchical Replication (MDHR) algorithm. …”
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Optimize performance load balancing techniques using binary vote assignment grid quorum (BVAGQ): A systematic review
Published 2019“…This replication generally referred as mechanism to improve availability and performance in distributed databases especially handling fragmented database replication becomes demanding issue. …”
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Implication of image processing algorithm in remote sensing and GIS applications
Published 2011“…We considered the drawbacks and advantage various algorithms and concluded that Greedy algorithm is comparatively better than other algorithms regarding the optimal solution.…”
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Optimized placement, sizing, and selection of distributed generation using the salp swarm algorithm
Published 2025“…SSA is a probabilistic algorithm that simulates the behavior of a population of agents, specifically by replicating the foraging behavior of salps in water. …”
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A Constraint Programming-based Genetic Algorithm (CPGA) for Capacity Output Optimization
Published 2014“…Purpose: The manuscript presents an investigation into a constraint programming-based genetic algorithm for capacity output optimization in a back-end semiconductor manufacturing company. …”
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Vigorous replication strategy with balanced quorum for minimizing the storage consumption and response time in cloud environments
Published 2021“…Essentially, cloud replication must be able to secure huge data by enabling comprehensive replication strategies, optimal data availability, fast data retrieval, and cost-effective data management and maintenance. …”
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Optimization of mobile robot path planning in semi-dynamic environment using genetic algorithm
Published 2023“…The proposed method is validated in simulations and proven to work effectively in different environments for different obstacle percentages of each investigation conducted to replicate a semi-dynamic obstacle environment. Finally, the simulation was conducted by implementing a random algorithm to verify the proposed GA in terms of the mobile robot's minimum and maximum path lengths. …”
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A bibliometric analysis: AI-driven data placement optimization in cloud replication environments
Published 2024“…Several studies have examined this area, aiming to enhance data replication techniques by integrating AI algorithms. …”
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14
Dynamic replica replacement strategy in data grid
Published 2012“…The performance evaluation of LVR and other replication algorithms are carried out by simulation. …”
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Comparative analysis of spiral dynamic algorithm and artificial bee colony optimization for position control of flexible link manipulators
Published 2024“…This study aims to evaluate the effectiveness of two optimization algorithms, artificial bee colony (ABC) and spiral dynamic algorithm (SDA), in controlling the position of a flexible-link manipulator. …”
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A Novel Wrapper-Based Optimization Algorithm for the Feature Selection and Classification
Published 2023“…Moreover, K-Nearest Neighbor (KNN) classifier was used to evaluate the effectiveness of the features identified by the proposed SCSO algorithm. The performance of the proposed SCSO algorithm was compared with six state-of-the-art and recent wrapper-based optimization algorithms using the validation metrics of classification accuracy, optimum feature size, and computational cost in seconds. …”
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An enhanced ant colony system algorithm for dynamic fault tolerance in grid computing
Published 2020“…Ant colony system (ACS), a variant of ant colony optimization (ACO), is one of the promising algorithms for fault tolerance due to its ability to adapt to both static and dynamic combinatorial optimization problems. …”
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Gender classification on skeletal remains: efficiency of metaheuristic algorithm method and optimized back propagation neural network
Published 2020“…Besides that, another limitation that exists in previous researches is the absence of parameter optimization for the classifier. Thus, this paper proposed metaheuristic algorithms such as Particle Swarm Optimization, Ant Colony Algorithm and Harmony Search Algorithm based feature selection to identify the most significant features of skeleton remains. …”
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Electric vehicle battery state of charge estimation using metaheuristic-optimized CatBoost algorithms
Published 2025“…Three distinct metaheuristic algorithms were investigated: Barnacles Mating Optimizer (BMO), Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Whale Optimization Algorithm (WOA), each integrated with CatBoost to optimize critical parameters including learning rate, tree depth, regularization, and bagging temperature. …”
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Optimization of an extended H-infinity controller for unmanned helicopter control using multiobjective differential evolution (MODE)
Published 2015“…Then apply the MODE-based algorithm to optimize the weighting function of the control problem formulation for optimal performance. …”
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