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research algorithm » search algorithm (Expand Search)
method algorithm » mould algorithm (Expand Search)
data research » do research (Expand Search)
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A depth-controlled and energy-efficient routing protocol for underwater wireless sensor networks
Published 2022“…The proposed energy-efficient routing protocol is based on an enhanced genetic algorithm and data fusion technique. In the proposed energy-efficient routing protocol, an existing genetic algorithm is enhanced by adding an encoding strategy, a crossover procedure, and an improved mutation operation that helps determine the nodes. …”
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Multi-Cluster Jumping Particle Swarm Optimization for Fast Convergence
Published 2020“…The classical PSO has limitations of slow convergence rate and trapping in local minima, as the dimensions of the data increase. Moreover, majority of improvements made by the researchers in optimization techniques have focused on the accuracy of solution and have overlooked the convergence speed of an algorithm. …”
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Data Redundancy Management in Connected Environments
Published 2020“…In this work, we focus on managing sensor data redundancies in connected environments. Existing works often suffer from (i) disregarding either network core or edge device redundancies; (ii) disregarding the limited capabilities of edge devices; and (iii) disregarding sensors mobility and the dynamicity of the network. …”
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Development of an Optimization Algorithm for Internet Data Traffic
Published 2020“…The algorithm monitors data repetitions in IP datagram and prepares a compression code in response of this repetition. …”
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Data redundancy management for leaf-edges in connected environments
Published 2022“…In this work, we focus on managing data redundancies in connected environments. Existing approaches suffer from (i) disregarding edge data redundancies either at the edge or at the core of the network; (ii) disregarding sensor mobility and the dynamicity of the network; (iii) disregarding the limited resources of edge devices; (iv) disregarding network/infrastructure resources; and (v) disregarding data consumer needs/requirements when cleaning the data redundancies. …”
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A genetic algorithm for testable data path synthesis
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Distributed dimension reduction algorithms for widely dispersed data
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Using genetic algorithms to optimize software quality estimation models
Published 2004“…In the first approach, we assume the existence of several models, and we use a genetic algorithm to combine them, and adapt them to a given data set. …”
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General applicability of genetic and simulated annealing algorithms for data mapping
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Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing
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Advancing Data Center Networks: A Focus on Energy and Cost Efficiency
Published 2023“…One area of ongoing research in data center networking focuses on innovating new topologies for large-scale node connectivity. …”