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 20 of 22 for “"Global optimisation"”.
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Detection of crack-like indications in digital radiography by global optimisation of a probabilistic estimation function
… indications in radiographic images. The usage of global features of crack-like indications provides the necessary noise resistance, but this is connected with prohibitive computational complexities of detection and difficulties in a formal description of the indication shape. Conventionally, the …
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MULTI-OBJECTIVE GLOBAL OPTIMISATION FOR THE OPERATIONAL ECONOMICS AND SECURITY OF THE INTERCONNECTED AND LONGITUDINAL SYSTEM
Operation optimisation and security analysis are two important issues in modem power system energy management systems. In the first part of the thesis, an approach for the determination of the most appropriate dispatch solution which best meets the economic, environmental and security objectives in …
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Calculating thermochemical equilibrium for multiphysics simulations of nuclear materials : development of yellowjacket gibbs energy minimiser
… thermodynamics to solve a non-linear, non-convex optimisation problem. Several thermodynamic models, including the Modified Quasichemical Model in Quadruplet Approximation (MQMQA) were implemented, and state-of-the art numerical solvers in Portable, Extensible Toolkit for Scientific Computation …
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Calibration of a conceptual rainfall-runoff model using simulated annealing
… The calibration problem involves finding the global minimum of a multivariate function that has many extraneous local minima, a situation in which conventional optimisation methods are ineffective. The objective function which quantifies discrepancies between the computed and observed …
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Proper orthogonal decomposition & kriging strategies for design
… high fidelity simulations within design optimisation. Taking considerably fewer function evaluations than direct global optimisation techniques, such as genetic algorithms, surrogate models attempt to construct a surrogate of an objective function from an initial sampling of the design …
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The design of adaptive structures for wing morphing
… the design of adaptive structures for achieving global multi-shape morphing aerodynamic configurations, by using slender structures. The proposed methodologies pursue two threads towards global optimisation of morphing structures, by providing means of aerodynamic enhancement, using efficient …
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Image reconstruction on electrical resistance tomography measurements in a settling process
… a region into elements and performs a global optimisation or minimisation in order to arrive at a solution. The NR-method is similar in principle to Newton's method, but is designed to operate on complex data and matrix equations in multiple dimensions. This thesis discusses the methods …
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Riemannian geometry for inverse problems in cryogenic electron microscopy
… of the thesis we consider how to use ideas from global optimisation on Riemannian manifolds to regularise the orientation estimation sub problem. Our approach is motivated by the two main challenges in orientation estimation: the high noise levels present in Cryo-EM data and the non-convexity of …
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Mathematical Optimisation Advances in Process Systems Engineering
… with convexity, and to deal with these, special global optimisation methods are required. An important type of nonconvex problems is the bilinear programming problem. Bilinear problems are first and foremost interesting because of their many practical applications, including pooling problems. …
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Design synthesis for dynamically reconfigurable logic systems
… makes use of genetic algorithms. It facilitates global optimisation to accommodate multiple design objectives common in reconfigurable system design, while making realistic estimates of configuration overheads and of the potential for resource sharing between configurations. A set of custom …
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Pacemaking Neurons in the study of Parkinson’s Disease
… a model that can reproduce measured data. Global optimisation strategies are adopted to tune important parameters. The model explicitly describes the dynamics of the transmembrane potential with changes in the levels of important cations. The model is veriVed for two major observations in …
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Investigation of an immune algorithm and differential evolution to study folding of model proteins
… of computational search techniques to global optimisation problems is becoming increasingly popular. Search techniques have been used to study the folding of model proteins, with the aim of accurately predicting the native state of a protein from its amino acid sequence. Through …
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Modelling the self-assembly and structure of carbonaceous nanoparticles
… behaviours. A novel stochastic global optimisation method, the Sphere Encapsulated Monte Carlo method, is also developed to allow minimum energy structures of large aromatic systems to be determined at considerably less computational expense than existing methods. The properties …
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Accelerated sampling of energy landscapes
… graphics processing units (GPUs). Basin-hopping global optimisation was treated using a version of the limited-memory BFGS algorithm adapted for CUDA, in combination with GPU-acceleration of the potential calculation. The Lennard-Jones potential was implemented using CUDA, and an interface to the …
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A local model network approach to nonlinear modelling
… simple, locally accurate models to represent a globally complex process, and provide a powerful,flexible framework for the integration of different model structures and learning algorithms.A major difficulty with Local Model Nets is the optimisation of the model structure. A novel …
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Bayesian methodology for integrating multiple data sources and specifying priors from predictive information
… information. We propose a multi-objective global optimisation approach that aligns these quantities by adjusting the hyperparameters of the prior, thus "translating" the elicited information in an informative prior.
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Structural studies using synchrotron X-ray powder diffraction and other techniques
… synchrotron X-ray powder diffraction data. A global optimisation method was used to provide a starting model for Rietveld refinement.
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A thermomechanical motorsport tyre model applicable for real-time driver-in-the-loop simulations
… strategy was also proposed, wherein a global optimisation algorithm was used for robust, yet computationally satisfactory results. Finally, the computational efficiency of the resulting model was thoroughly examined through virtual simulation benchmarks, where it was found to be …
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Techniques in deep imaging within biological tissue
… g. brightness, contrast or resolution), various optimisation algorithms were used to improve this property by altering the shape of the DMM and compensate for aberrations. Taking axial and lateral point spread functions (PSFs), the improvement of the system was monitored. The ability of the …
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The utility of mathematical fitness-fatigue models for assisting with the planning of physical training for sport: from in silico experiments employing synthetic data, lower-bound operational conditions and model estimation, to the development of software resources for future research.
… even in the standard FFM may now necessitate global optimisation approaches. The third and fourth aims were achieved by development of extensive code resources in the R programming language for fitting and evaluating FFMs, facilitating future study under the most promising models/methods. The …
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