Search Results - (( loading optimization based algorithm ) OR ( using computational path algorithm ))
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Multi agent quality of service routing based on scheme ant colony optimization algorithm
Published 2014“…This research presents a per class QoS routing approach based on Ant Colony Optimization (ACO) called ACR-QoS to provide QoS for different Class of Services (CoSs). …”
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Thesis -
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QoS based fair load-balancing: paradigm to IANRA routing algorithm for wireless networks (WNs)
Published 2008“…In this paper, a new algorithm, Intelligent agent AntNet based Routing Algorithm (IANRA) is proposed to enhance load balancing strategy in Wireless Networks (WNs). …”
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Conference or Workshop Item -
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Performance analysis of ant colony's algorithm: load-balancing in QoS-based wireless mesh networks routing
Published 2008“…The design of the algorithm is based on: the specific self-organizing behavior of ant colonies, the shortest path discovery, and the related framework of ant colony optimization (ACO). …”
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Controller placement problem in the optimization of 5G based SDN and NFV architecture
Published 2021“…Extensive computations utilizing MATLAB 2018a on the Intel Core i7/Gen 10 processor and 16 GB of RAM are used to evaluate the algorithm efficacy. …”
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Modeling and multi-objective optimal sizing of standalone photovoltaic system based on evolutionary algorithms
Published 2020“…The IEM algorithm uses the attraction-repulsion mechanism to change the positions of solutions towards the optimality. …”
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Energy balancing mechanisms for decentralized routing protocols in wireless sensor networks
Published 2012“…It is based on Ant Colony Optimization (ACO) meta heuristic, which is adopted to enhance the paths with the best-quality function. …”
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Energy-efficient routing using novel optimization with Tabu techniques for Wireless Sensor Network
Published 2022“…In specific, the energy usage is influenced by the loads on the sensor node as well as it ranges from the Base Station (BS). …”
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Adaptive manet OLSR routing protocol for optimal route selection in high dynamic network
Published 2020“…The statistical framework based on QoS requirements is introduced for optimal solutions. …”
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DC-based PV-powered home energy system
Published 2017“…A controller based on an algorithm of one time maximum power point (MPP) is proposed to mitigate those losses. …”
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Enhanced Mobility Solution In Mobile Ipv6 Network
Published 2008“…The solution is important by enterprises in making decision to acquire internet connectivity for the purpose of connectivity redundancy and traffic load distribution optimization. This result is very important for time sensitive application that requires stable network condition.…”
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Path planning for unmanned aerial vehicles using visibility line-based methods
Published 2011“…In order to ensure that the 3D path planning algorithms are computationally efficient, the proposed 2D path planning algorithms are applied into them. …”
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Optimal path planning algorithms in virtual environments
Published 2006“…In relation to that, A* algorithm was used as a path finding technique to plan a collision-free-path journey from one location to another. …”
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Robotic indoor path planning using dijkstra's algorithm with multi-layer dictionaries
Published 2016“…The path computed using the classic Dijkstra's algorithm is the shortest; however, it may not be the most feasible. …”
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Conference or Workshop Item -
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The Development Of A Robust Algorithm For Uav Path Planning In 3d Environment
Published 2016“…Significant research has been conducted on Unmanned Aerial Vehicle (UAV) path planning using evolutionary algorithms, such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Differential Evolution (DE), and Biogeographic-Based Optimization (BBO). …”
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Obstacle Avoidance System in Underwater Glider
Published 2017“…It is found that the A* algorithm have better path cost but requires higher computational power. …”
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Final Year Project -
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Optimized PID controller of DC-DC buck converter based on archimedes optimization algorithm
Published 2023“…The algorithm aids in identifying ideal proportional, integral, and derivative gains based on varying load conditions. …”
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One day ahead daily peak hour load forecasting by using invasive weed optimization learning algorithm based Artificial Neural Network
Published 2012“…In this project, an Artificial Neural Network (ANN) trained by the Invasive Weed Optimization (IWO) learning algorithm is proposed for short term load forecasting (STLF) model. …”
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Student Project -
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