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

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Multi-guided particle swarm optimization : a multi-objective particle swarm optimizer

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Neurocontroller development for nonlinear processes utilising evolutionary reinforcement learning by Conradie, Alex van Eck

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Niching in particle swarm optimization

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An Analysis of Particle Swarm Optimizers

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An overview of sparse convex optimization

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Optimal management of MPLS networks by De Kock, Johannes Marthinus

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Optimality in sewer network design by De Villiers, Nico-Ben

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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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Multiple objective optimization of an airfoil shape

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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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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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Self-organising traffic control algorithms at signalised intersections by Einhorn, Mark David

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Parametric freeform-based construction site layout optimization by Abotaleb, Ibrahim

“…The site layout modeling was formulated on commercial parametric modeling tools (Rhino® and Grasshopper®) and the optimization was performed through genetic algorithms. …”
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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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Diagnostic Algorithm for Accurate detection of breast carcinoma on ultrasound

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Metrics to evaluate compressions algorithms for RAW SAR data

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