Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 19 of 19 for “"Constrained Optimisation"”.
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Differential Evolution for Dynamic Constrained Continuous Optimisation
… this thesis, we choose the evolutionary dynamic optimisation methodology to tackle dynamic constrained problems. Dynamic constrained problems represent a common class of optimisation that occur in many real-world scenarios. Evolutionary algorithms are often considered very general search …
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Evolutionary computation applied to combinatorial optimisation problems
… genetic algorithms (GA) when applied to hard optimisation problems. In particular it examines the problem of selecting and implementing appropriate genetic operators in order to meet the validity constraints for constrained optimisation problems. The problem selected is the travelling salesman …
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Continuous dynamic optimisation using evolutionary algorithms
Evolutionary dynamic optimisation (EDO), or the study of applying evolutionary algorithms to dynamic optimisation problems (DOPs) is the focus of this thesis. Based on two comprehensive literature reviews on existing academic EDO research and real-world DOPs, this thesis for the first time …
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Decentralising active network management through distributed constraint optimisation
… the introduction of Distributed Constraint Optimisation as a way of providing Active Network Management. It is an agent-based coordination method that is able to coordinate generators' output without violation of network constraints. This method, which is drawn from the Artificial …
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Solving dynamic economic dispatch problems using pattern search based methods with particular focus on the West Doha Power Station in Kuwait
… problem had been formulated and solved as a constrained optimisation and a particular technique selected for this purpose – not explored before – was a Pattern Search (PS) algorithm. For illustrative purposes, the proposed PS technique had been applied to various test systems to validate its …
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Sparse Kernel feature extraction
… implemented and frequently requires complex optimisation routines. Furthermore, one often does not have a direct control on the sparsity of the solution. In this thesis, we address some of these problems, first by proposing a general framework for feature extraction which possesses a number …
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Light in Living Systems: Ultra-Weak Photon Emission and Fluorescence Lifetime Imaging of Cellular Dynamics
… mapping, principal component analysis, and constrained optimisation demonstrate the feasibility of reconstructing mitochondrial structure from FRET efficiency distributions. Finally, Part V synthesises insights across review and experiments, situating UPE within the broader context of …
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A framework for smart traffic management using heterogeneous data sources
… network. The simulator component proposes an optimisation procedure for determining missing roundabouts and urban roads flow distribution using constrained optimisation. Existing imputation methodologies have been developed on straight section of highways and their applicability for more …
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Development of an intelligent tool for energy efficient and low environment impact shipping
… power for minimum fuel consumption. During the optimisation process, Kwon's method as a new empirical formula is used to calculate ship speed in different weather conditions and an IMO guideline is applied to ensure ship safety during a voyage. In addition to the 3DDP method developed, three …
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What we see through the scarcity lens
… hypothesis. Neo-Robbinsianism claims that the optimisation methods of mainstream economics are epistemically indispensable for characterising important patterns in choice data. Don Ross – its most prominent defender – characterises this epistemic indispensability in terms of real patterns. Real …
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Strategies for wireless networked control systems
… delays and dropouts. These strategies rely on optimisation problems which incorporate robustness and performance restrictions to compute the optimum controller. The performance and robustness of the controllers are evaluated through extensive experiments in a network simulator. A new adaptive …
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Variable horizon model predictive control: robustness and optimality
… the horizon length as a decision variable in the constrained optimisation problem solved at each iteration. It has been recently applied to completion problems, where the system state is to be steered to a closed set in finite time. The behaviour of the system once completion has occurred is not …
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Instrumentation and contrast mechanisms in scanning helium microscopy
… to form the beam is investigated by performing a constrained optimisation in chapter 6. The source properties must also be included due to the strong chromatic aberrations present when using a zone plate. It is shown that the pinhole produces the largest flux for large helium spot sizes, but for …
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Algorithms for estimating rates of nucleotide change
… the computing time with development of a constrained-optimisation approach for the IRM algorithm (fast-IRM). From a simulation study based on 2nd codon position genome sequences of yeast, we establish that IRM is significantly more accurate than both ns-HAL and heterogeneity in the …
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Algorithms for estimating rates of nucleotide change
… the computing time with development of a constrained-optimisation approach for the IRM algorithm (fast-IRM). From a simulation study based on 2nd codon position genome sequences of yeast, we establish that IRM is significantly more accurate than both ns-HAL and heterogeneity in the …
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Design Space Exploration for Salt Cooled Reactor Systems
… operating domain search and design optimisation codes was created that can identify the optimum primary and secondary loop operating condition and the corresponding maximum power and Levelised Cost of Electricity (LCOE) of the reactor. Based on preliminary thermal-hydraulic test …
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Simultaneous state and input estimation with applications in vehicle problems
… to both the estimation and tracking problems a constrained estimation problem is solved which shows that the Riccati equation solution has a least squares interpretation that is analogous to the meaning of the covariance matrix in stochastic filtering. We show that the estimation and tracking …
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Performance Optimisation of Dielectric Elastomer Generators
… the charge at a higher electric potential. The optimisation procedure for a load-driven soft planar DEG is presented, assuming hyperelastic and ideal dielectric behaviour. The DEG undergoes the ideal four-stroke electromechanical cycle previously described and its performance is evaluated on the …
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Optimal Constrained Feedback: Computer-Generated Holography using Optimal-Gains
… challenge. In this thesis, I present Optimal Constrained Feedback (OCF), a novel approach to addressing these limitations. This approach was inspired by the observation that many of the constraints inherent in CGH are also present in control theory, suggesting that it might be possible to …