Using particle swarm optimisation to train feedforward neural networks in dynamic environments

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Characterising continuous optimisation problems for particle swarm optimisation performance prediction

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A Proper Orthogonal Decomposition-based inverse material parameter optimization method with applications to cardiac mechanics by Moodley, Kamlin

“…The calibration method combines a MATLAB-based Levenberg Marquardt algorithm with the in-house PODIbased software ORION. …”
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A source-destination based dynamic pricing scheme to optimize resource utilization in heterogeneous wireless networks by Mutungi, Jeremiah Nzioka

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Grid-connected hybrid energy system modeling and optimization study for green hydrogen production in South Africa by Mukoni, Esmerelda

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Optimal pathway towards building EPC rating improvements align with building energy performance certificate programme

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A comparative study on the value of accounting for possible relationships between decision variables when solving multi-objective problems by Scholtz, Esmarie

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Autonomous robot path planning by Crous, C. B.

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Efficient call management in broadband networks by Inggs, Andrew Mark

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The design and development of GPU accelerated algorithms for ab initio integrals and integral derivatives illustrated on ab initio quantum and hybrid QM/MM dynamics by Renison, Carina Alicia

“…A speedup of up to 9.3X is achieved for an ab initio gradient calculation compared to the CPU running an optimized serial version of GAMESS-UK using the Schlegel method. …”
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Optimal energy management for a grid-tied solar PV-battery microgrid: A reinforcement learning approach by Muriithi, Grace

“…The feasibility of two RL algorithms, namely, conventional Q-learning algorithm and deep Q network algorithm, are developed, and their efficacy in performing optimal energy management for the designed system is evaluated in this thesis. …”
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Optimal integration of solar home systems and appliance scheduling for residential homes under severe national load shedding

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An Analysis of Overfitting in Particle Swarm Optimised Neural Networks

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A Study on Integrated Transportation and Facility Location Problem

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Optimisation techniques for combustor design

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AI Stock-Screening Methodology for Portfolio Construction by Khater, Omar Ahmed

“…The developed model employed genetic algorithms to optimize the selection of screening rules from among a set of widely accepted fundamental indicators. …”
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A hyperheuristic approach towards the training of artificial neural networks by Nel, Gerrit Stephanus

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Design and optimization of an embedded machine learning image processing system with a Linux SOC for large-scale livestock tallying by Le Roux, Morne

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