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 56 for “"Optimisation algorithms"”.
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Multi-objective optimisation using sharing in swarm optimisation algorithms
… help of evolutionary computation. Particle Swarm Optimisation (PSO) is a relatively new heuristic that shares some similarities with evolutionary computation techniques, and that recently has been successfully modified to solve multi-objective optimisation problems. In this thesis we first review …
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Tracking on manifolds : quasi-Newton optimisation algorithms on manifolds
In recent years, optimisation on manifolds has become a popular area of research. Applications in signal processing have been proposed as well. Optimisation methods on manifolds can reduce the dimension of the original problems compared to the problems in their ambient Euclidean space. Many …
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Accelerated Optimisation Algorithms for Machine Learning and Image Processing
… challenging, and research developing efficient algorithms to do so has grown in parallel with the rise in machine learning and image processing. Stochastic optimisation algorithms have long been the methods of choice for training machine learning models. For reasons outlined in this thesis, they …
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Generalised Discriminative Optimisation Algorithms for Augmented Reality: Theory and Practice.
… Registration has always been treated as an optimisation process, involving the design of objective functions and the estimation of gradient directions. Learning-based optimisation methods learn the gradient directions via the least-square methods acting on a parameter vector space and …
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Biologically Inspired Optimisation Algorithms for Transparent Knowledge Extraction Allied to Engineering Materials Processing
… which gives the rationale of using bio-inspired optimisation paradigms, more specifically, Artificial Immune Systems, in this research project. In a bid to further improve the overall predictive performance, especially for the scatter and uncertain data set, an error correction scheme is proposed …
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Radio wave imaging using Ultra-Wide Band Spectrum Antennas for Near-Field Applications. Design, Development, and Measurements of Ultra-Wideband Antenna for Microwave Near-Field Imaging Applications by applying Optimisation Algorithms
… it is necessary to find out recently developed optimisation techniques that can provide solutions to these problems. In this thesis, designing, optimisation, development, measurement, and analysis of UWB antennas for near-field microwave imaging applications are considered. This technology …
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Nature-Inspired Multi-Objective Optimisation and Transparent Knowledge Discovery via Hierarchical Fuzzy Modelling
… systems with robust evolutionary computing based algorithms involving several techniques, such as data clustering, data mining, and multi-objective optimisation. Evolutionary optimisation algorithms are also developed on the basis of nature and social inspired ideas. Optimisation forms an …
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Automated Software Maintenance Using Search-Based Refactoring
… refactorings, software metrics and search-based optimisation algorithms to automate aspects of the software maintenance process. Refactorings are used to improve the structure of software without affecting its functionality. Search-based optimisation algorithms can be adapted to use refactorings …
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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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Novel Memetic Computing Structures for Continuous Optimisation
This thesis studies a class of optimisation algorithms, namely Memetic Computing Structures, and proposes a novel set of promising algorithms that move the first step towards an implementation for the automatic generation of optimisation algorithms for continuous domains. This thesis after a …
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Multi-scale modelling describing thermal behaviour of polymeric materials. Scalable lattice-Boltzmann models based upon the theory of Grmela towards refined thermal performance prediction of polymeric materials at micro and nano scales.
… and to translate this into simulation and optimisation algorithms and strategies, Thereby allowing for greater control of the various polymer processing methods at micrometer scales.
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Design and modelling of beam steering antenna array for mobile and wireless applications using optimisation algorithms. Simulation and measrement of switch and phase shifter for beam steering antenna array by applying reactive loading and time modulated switching techniques, optimised using genetic algorithms and particle swarm methods.
… the genetic algorithm (GA) and particle swarm optimisation (PSO) techniques as optimisation design tools. Several antenna designs were implemented and tested: initially, a printed dipole antenna integrated with a duplex RF switch used for mobile base station antenna beam steering was …
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Topology optimisation for fluid flow and heat transfer applications
… we apply the two most prevalent topological optimisation algorithms to the design of single material heat sinks and heat exchangers. We aim to determine the merits and drawbacks of each method, extend the most suitable method to consider multi-material structures and to subsequently apply …
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Optimal Multi-Drug Chemotherapy Control Scheme for Cancer Treatment. Design and development of a multi-drug feedback control scheme for optimal chemotherapy treatment for cancer. Evolutionary multi-objective optimisation algorithms were used to achieve the optimal parameters of the controller for effective treatment of cancer with minimum side effects.
… were set for different design objectives in the optimisation process and a wide range of acceptable solutions were obtained trading off among different conflicting objectives. Abstract v In order to develop a multi-objective optimal control model, this study used proportional, integral and …
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Optimum shear strengthening of reinforced concrete beams
… straps were investigated. Two popular optimisation algorithms namely the genetic algorithm (GA) and particle swarm optimisation (PSO) were coded and tested with six test functions. These algorithms were used to find the optimum shear retrofitting configurations and also to reduce the …
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Modelling and Design of Resilient Networks under Challenges
… networks. Furthermore, graph-theoretic heuristic optimisation algorithms are developed. These heuristic algorithms add links to increase the resilience of networks in the least costly manner and they are computationally less expensive than an exhaustive search algorithm. The performance of …
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Holistic, data-driven, service and supply chain optimisation: linked optimisation.
… are automated and are strongly supported by optimisation algorithms - manufacturing optimisation, B2B ordering, financial trading, transportation scheduling and allocation. However, most of these algorithms do not incorporate the complexity associated with interacting decision-making systems …
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Realtime Vehicle Route Optimisation via DQN for Sustainable and Resilient Urban Transportation Network
… time. During this decade, many optimization algorithms have been designed to achieve the optimal usage of existing roadway capacity in cities to leverage the problem. However, it is still a challenging task for the vehicles to interact with the complex city environment in a real time manner. …
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Improving Results of Differential Evolution Algorithm
Optimisation problems are of prime importance in scientific and engineering communities. Many day-to-day tasks in these fields can be classified as optimisation problems. Due to their enormous solution spaces, optimisation problems frequently lie in class NP. In such cases, engineers and …
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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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