Search Results - (( _ application ((drops algorithm) OR (ant algorithm)) ) OR ( based application need algorithm ))*
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AntNet: a robust routing algorithm for data networks
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A new ant based rule extraction algorithm for web classification
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Multi agent quality of service routing based on scheme ant colony optimization algorithm
Published 2014“…The proposed scheme has been simulated by OMNET++ and compared with standard AntNet and two well-known standard QoS routings; Widest Shortest Path (WSP) algorithm and Shortest Widest Path (SWP) algorithm. …”
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Railway shortest path planner application using ant colony optimization algorithm / Muhammad Hassan Firdaus Ruslan
Published 2017“…For the process module, Ant Colony Optimization (ACO) algorithm was used to find the shortest path. …”
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Reactive memory model for ant colony optimization and its application to TSP
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An efficient innovative method to decrease routing table size in packet switched networks
Published 2013“…Taking into consideration the highly distributed character of networks, numerous multi-agent based algorithms, and particularly ant colony based algorithms, have been proposed in recent years. …”
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Efficient vehicle routing optimization for autistic users / Abdulrahman Hasan Mohammed Shabalah
Published 2020“…The new proposed algorithm is called Autistic-Features Ant Colony (AFAC). …”
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Neighbour-based on-demand routing algorithms for mobile ad hoc networks
Published 2017“…The dropping decision of the redundant RREQ in the NCPR algorithm completely relies on preset variables, such variables require to be set by the system administrator based on the scenario. …”
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A review of training methods of ANFIS for applications in business and economic
Published 2016“…Moreover, the standard gradient based learning via two pass learning algorithm is prone slow and prone to get stuck in local minima. …”
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A review of training methods of ANFIS for applications in business and economics
Published 2016“…Moreover, the standard gradient based learning via two pass learning algorithm is prone slow and prone to get stuck in local minima. …”
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Benchmark simulator with dynamic environment for job scheduling in grid computing
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Task scheduling in cloud computing using hybrid genetic algorithm and bald eagle search (GA-BES)
Published 2022“…As for the running method the compilation of the code will be run by using cmd and Ant Apache and the total average result of 30 simulation will be view on the web base application will be run using xampp.…”
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