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A generation perturbative hyper-heuristic for combinatorial optimization problems
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Usage-based optimal energy control of residential water heaters
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Metaheuristic and heuristic applications to the concave knapsack problem
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The optimal placement of phasor measurement units and their effects on state estimation
Published 2014Get full text
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A 3-phase Z-source inverter driven by a novel hybrid switching algorithm
Published 2015“…A novel DSP control algorithm allows the inverter toachieve the following:· Run Space Vector Pulse Width Modulation (SV-PWM) for maximum DCbus voltage utilization while boosting the DC bus during zero space vectorstates using shoot through.· Seamless transition between modulation control and modulation / shootthrough control.· Optimised efficiency and DC bus utilisation using Hybrid Space VectorBoost Pulse Width Modulation (HSVB PWM) which is unique to thisdissertation.Such a system is particularly suited to fuel cell and particularly wind turbineapplications where the DC bus voltage is varies over a wide range resulting inthe need for a DC to DC buck/boost to regulate the DC bus to maintain a steady3-phase sinusoidal output. …”
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Algorithm selector for dynamic AGV scheduling in a smart manufacturing environment using machine learning
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Development of a ML Algorithm to Improve Radar Detection of Golf Balls Using MFCW Radar
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A meta-learning framework for link prediction algorithm selection based on network structure analysis
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Fast star tracker hardware implementation and algorithm optimisations on a system-on-a-chip device
Published 2019Get full text
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An evidence-based algorithm for the rapid diagnosis of tuberculosis in HIV positive patients presenting to emergency centres
Published 2021“…The 30% false negative rate indicates that the algorithm should not be used to exclude tuberculosis. …”
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A fitness landscape-integrated metaheuristic selection & configuration framework for binary programming problems.
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Robust sampling-based conflict resolution for commercial aircraft in airport environments
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Driving dynamic multi-objective optimizations constrained by decision-makers' preferences
Published 2019Get full text
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Improving region based CNN object detector using bayesian optimization
Published 2018“…The work is focusing on formulating effective region proposal as an optimization problem and using Bayesian Optimization algorithm as a black-box optimizer to sequentially solve this problem. …”
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Path planning for wheeled mobile robots using an optimal control approach
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Emergency department design evaluation and optimization using discrete event simulation
Published 2012“…The equations resulted from the regression analysis were used for the optimization model. A genetic algorithm was used for the purpose of obtaining optimized resource allocation for different arrival rates within a constrained budget, area, and patient waiting time in the system.…”
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