An investigation of dead-zone pattern matching algorithms by Mauch, Melanie Barbara

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Investigating hyperheuristics for solving bi-objective simulation optimisation problems by Nigrini, Leanne

Subjects: “…Heuristic algorithms…”
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Multi-guided particle swarm optimization : a multi-objective particle swarm optimizer

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A BIM-Based Flexible Flow Shop Framework for Scheduling Linear Infrastructure Projects by ElBassuony, Mahmoud Mohamed

Subjects: “…NSGA-II Algorithm…”
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Sub-sampled exponential analysis applied to sparse planar antenna array configurations by Raal, Ridalise

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An Analysis of Particle Swarm Optimizers

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Niching in particle swarm optimization

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Forecasting and Optimization in Modern Cosmology by Kotze, Jacques

“…We introduce a new optimization algorithm which signi cantly outperforms all standard algorithms, especially in higher dimensions where the improvement is remarkable. …”
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An overview of sparse convex optimization

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Optimizing Rehabilitation and Maintenance of Hospitals by Ahmed, Mohamed

“…The first model operates at the macro-level and undertakes the Network-level Hospital Rehabilitation Trade off model (NEHIR). The model optimizes the scheduling of rehabilitation works through the use of genetic algorithm optimization engine. …”
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Optimality in sewer network design by De Villiers, Nico-Ben

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Investigations into implementation of an iterative feedback tuning algorithm into microcontroller by Himunzowa, Grayson

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Evolutionary algorithms for optimising reinforcement learning policy approximation by Cuningham, Blake

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Optimal management of MPLS networks by De Kock, Johannes Marthinus

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Channel estimation and tracking algorithms for vehicle to vehicle communications by Awad, Moustafa

“…The proposed algorithms utilize the finite alphabet property of the transmitted symbol, time domain truncation, decision-directed as well as pilot information. …”
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Analysis of Machine Learning Algorithms for Time Series Prediction by Naidoo, Kimendree

“…Due to the rapidly increasing prominence of Artificial Intelligence in the last decade and the advancements in technology such as processing power and data storage, there has been increased interest in applying machine learning algorithms to time series prediction problems. There are many machine learning algorithms that can be used for time series prediction problems but selecting an algorithm can be challenging due to algorithms not being suitable to all types of datasets. …”
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Cooperative search and rescue using a scheduling algorithm by Buys, Stephano

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A genetic algorithm based model tree forest by Van der Merwe, Werner

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Exploration of reinforcement learning algorithms implemented in the Wrapslide environment by Jordaan, Ruan

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