Distributed binary decision diagrams by Fasan, Mary Oluwasola

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Applying the cross-entropy method in multi-objective optimisation of dynamic stochastic systems by Bekker, James

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Variable selection for kernel methods with application to binary classification by Oosthuizen, Surette

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Noncooperative Game-Theoretic Planning for Autonomous Driving under Imperfect Information: A Quasi-Perfect Equilibrium Approach by Mogahed, Ahmed

“…The framework’s path planner generates equilibrium waypoints by formulating the problem in sequence form as a linear complementarity problem and solving it via Lemke’s algorithm. Then, a path manager generates geometrically optimal trajectories respecting the vehicle's minimum turning radius using Dubins path optimization. …”
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Introduction to fast Super-Paramagnetic Clustering by Yelibi, Lionel

“…We map stock market interactions to spin models to recover their hierarchical structure using a simulated annealing based Super-Paramagnetic Clustering (SPC) algorithm. This is directly compared to a modified implementation of a maximum likelihood approach to fast-Super-Paramagnetic Clustering (f-SPC). …”
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Design of a tip appendage for the control of tip leakage vortices in axial flow fans by Meyer, Thomas Oliver

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Methods that improve high frequency Single Flux Quantum electronics design by Le Roux, Paul

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Metamaterial antennas for cognitive radio applications by Raslan, Ahmed Rajaie

“…A model is proposed to explain, through simple numerical simulations and an optimization algorithm, the behavior of these component loaded antennas (which are equivalent to metamaterial inspired electrically small antennas).…”
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Valuing American Asian Options with Least Squares Monte Carlo and Low Discrepancy Sequences

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A novel method for power system stabilizer design by Chen, Lian

“…However, power systems typically have multiple "modes" that result in the optimization problem being non-convex in nature. To overcome the issue of non-convexity, the optimization algorithm, embedded in the 111 University of Cape Town sub-optimal Hoo PSS design/tuning method, is based on Population Based Incremental Learning (PBIL). …”
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Efficient radio resource management in integrated terrestrial and non-terrestrial networks by Birabwa, Denise Joanitah

“…Second, since the greedy heuristic solution to the user association sub-problem does not ordinarily produce an optimal solution, the work further proposes a polynomial-time solution based on the genetic algorithm (GA). …”
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Operational cost and emissions minimisation of a multi-microgrid system through energy management

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Control of CO2 vibrational dynamics via shaped-pulse coherent anti-Stokes Raman spectroscopy by Hendriks, Adriaan Jacobus

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Approximation approaches for training neural network problems with dynamic mini-batch sub-sampled losses

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A Two-Phase Method for Solving Transportation Models with Prohibited Routes by Owusu-Ansah, Emmanuel, Ackora-Prah, Joseph, Acheson, Valentine, Barnes, Benedict, Takyi, Ishmael

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Optimising pressure profiles in superplastic forming

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Wind plant annual energy production maximisation and efficiency improvement with considerations for thrust and turbulence intensity by Charles, Mfon Okokon

“…To exploit this feature, this study proposes and implements an axial induction-based cooperative power maximisation for annual energy production (AEP) maximisation in a hexagonally deployed multi-directional wind site with space restrictions, using particle swarm optimization (PSO) and genetic algorithm (GA). Initial results confirm a significant increase in wind plant power and AEP, accompanied by increase in turbine-level turbulence intensity, thrust coefficient, and thrust as consequences imposed by the unconstrained optimisation-enhanced power increments. …”
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Investigation and design of a slotted waveguide antenna with low 3D sidelobes by Maritz, Andries Johannes Nicolaas

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Evaluation of a high-pole number reluctance synchronous wind generator technology by Baziruwiha, Jean-Claude

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