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Search Results - (optimization OR (utilization OR utilisation)) algorithms
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Synthesis of optimal heat and mass exchange networks using a two-step hybrid approach including detailed unit designs
Published 2017“…Subsequent iterations of the network design step are then updated with information from the detailed network designs. The algorithm has certain advantages over previous methods in that the network optimisation is based on more realistic representations of the actual units therein and also that the method increases the likelihood of attaining a globally optimal solution through the generation and assessment of multiple candidate networks throughout the algorithm. …”
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Drone Base Station Trajectory Management for Optimal Scheduling in LTE-Based Sparse Delay-Sensitive M2M Networks
Published 2019“…Based on this formulation, we decided to compare between an Ant Colony Optimization (ACO) based technique that optimizes the drone movement among the sparsely-deployed MTCDs and a Genetic Algorithm (GA) based solution that achieves the same purpose. …”
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Generalized model predictive pulse pattern control based on small-signal modelling
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On two combinatorial optimisation problems involving lotteries
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Bus route design and frequency setting for public transit systems
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Knowledge discovery and anomalies — towards a dynamic decision-making model for medical informatics
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Optimal sizing and placement of independent power producers on MV, HV and EHV networks for minimum power line losses using neural networks
Published 2025“…The 66kV ANN model recommends an optimal IPP size of 12MW operating at 0.975 (lagging) power factor, located 14.04km from the sending end substation using an ACSR Kingbird conductor. …”
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Optimal sizing and placement of independent power producers on MV, HV and EHV networks for minimum power line losses using neural networks
Published 2025“…The 66kV ANN model recommends an optimal IPP size of 12MW operating at 0.975 (lagging) power factor, located 14.04km from the sending end substation using an ACSR Kingbird conductor. …”
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Principal points, principal curves and principal surfaces
Published 2015“…Principal points of a distribution have been initially introduced by Flury (1990) who tackled the problem of optimal grouping in multivariate data. In essence, principal points are the theoretical counterparts of cluster means obtained by the k-means algorithm. …”
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Fast converging robust beamforming for downlink massive MIMO systems in heterogenous networks
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Key profile optimisation for the computational modelling of tonal centre
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Cooperative target following and collision avoidance for multiple unmanned aerial vehicles
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Determining appropriate loss coefficients for use in the nozzle-model of a stage-by-stage turbine model
Published 2020“…A stage-by-stage turbine nozzle-model incorporating turbine loss coefficient algorithms was developed and validated against real turbine test cases obtained from literature. …”
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A heuristic approach to the deterministic and stochastic air crew pairing problem
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Reinforcement learning microservices scheduler in intelligent edge computing
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Development of a low cost linear fresnel solar concentrator
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Intelligent control for processing solar photovoltaic energy
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A spin on compressive sensing imaging : reticle-based single-pixel imaging system
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