Optimisation techniques for combustor design

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A framework for fine-grain synthesis optimization of operational amplifiers by Essam, Taher

“…Unlike SP, TCG supports incremental update during operation and keeps the information of the boundary modules as well as their relative positions in the representation. Block placement algorithms that are based on SP use heuristic optimization algorithms, e.g., simulated annealing where generation of large number of sequence pairs are required. …”
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Particle swarm optimization and differential evolution for multi-objective multiple machine scheduling

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Low-Complexity Algorithms for Channel Estimation in Optimised Pilot-Assisted Wireless OFDM Systems by Golovins, Eugene

“…Each kind of estimation algorithm is characterised by its own SNR gain, which in general can vary depending on the channel correlation. …”
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Clustering algorithms for sensor networks and mobile ad hoc networks to improve energy efficiency by Wei, Dali

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Development of Hardware and Efficient, Robust Control Algorithms for a Nanosatellite Reaction Control System by Cilliers, Tian

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Advanced take-off and flight control algorithms for fixed wing unmanned aerial vehicles by De Hart, Ruan Dirk

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Enhancement of digital elevation models using tree-based ensemble machine learning algorithms by Okolie, Chukwuma

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Particle swarm optimisation: an algorithm using support vector classification based constraint approximations. by Malan, Maria Magdalena

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Particle swarm optimization methods for pattern recognition and image processing

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Optimal placement and power allocation for jammers in wireless mesh networks

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Optimal attitude and flight vector recovery for large transport aircraft by Engelbrecht, J. J. K.

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Analytical modelling and optimization of a thermal convective microfluidic gyroscope by Vosloo, Surika

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The perils of particle swarm optimization in high dimensional problem spaces

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The optimal asset allocation for South African real return investors by Van Zyl, Barry

“…These blocks of data are resampled in order to simulate the distributions of returns of portfolios with their own unique empirical distribution. The optimal portfolios are derived using a genetic algorithm, showcasing how these extremely versatile optimisation tools can be used in combination with resampling methods to find the optimal portfolio for virtually any criterion. …”
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Optimal reliability-based design of bulk water supply systems by Chang, Ching-Chiao

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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 by Richie, Michael

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Metaheuristic and heuristic applications to the concave knapsack problem by Heinrich, Bowen

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A 3-phase Z-source inverter driven by a novel hybrid switching algorithm by Malengret, Jean-Claude

“…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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