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 73 for “"Multi-Objective Optimisation"”.
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Multi-objective optimisation with financial applications
Portfolio Optimisation is a multi-objective problem which involves finding the allocation of shares in a portfolio that optimises the likely return for a level of risk which an investor is prepared to tolerate. There have been several multi-objective evolutionary algorithms that have been used to …
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Multi-objective optimisation under deep uncertainty
… have been to deal with deep uncertainty in Multi-Criteria Decision-Making (MCDM) problems, especially with long-term decision-making processes such as strategic planning problems. To achieve these aims, we first introduced a two-stage scenario-based structure for dealing with deep …
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Multi-objective optimisation of safety-critical hierarchical systems
… analysis of complex engineering models with multiple failure modes. The thesis demonstrates that, used as the fitness evaluating component of a multi-objective Genetic Algorithm, HiP-HOPS can be used to solve the problem of redundancy allocation effectively and with relative efficiency. …
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Heterogeneous Multi-objective Optimisation in Nuclear Power Design
… the deleterious effects of heterogeneous optimisation within nuclear power design. Heterogeneous optimisation is investigated in two forms: delaying a subset of objectives, and delaying a higher fidelity search. The large computational expense and extensive runtimes of nuclear power design …
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Digitised Dockyard: A Digital Twin for Multi-Objective Optimisation
… is emerging as a transformative tool across multiple industries to digitally represent physical entities for monitoring and simulation. While many implementations focus on single systems or commercial applications, this thesis investigates the use of a digital twin to represent and optimise …
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Multi-objective optimisation using sharing in swarm optimisation algorithms
Many problems in the real world are multi-objective by nature, this means that many times there is the need to satisfy a problem with more than one goal in mind. These type of problems have been studied by economists, mathematicians, between many more, and recently computer scientists. Computer …
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Bayesian single- and multi- objective optimisation with nonparametric priors
Optimisation is integral to all sorts of processes in science, economics and arguably underpins the fruition of human intelligence through millions of years of optimisation, or $\textit{evolution}$. Scarce resources make it crucial to maximise their efficient usage. In this thesis, we consider the …
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Multi-objective optimisation of the generalized bin packing problem
This project aimed to investigate multi-objective optimisation of the generalized bin packing problem, which involves the allocation of compulsory and non-compulsory items into a set of bins. The items have characteristics such as weight, width, height, and due date, while the bins have …
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Manufacturing Management and Decision Support using Simulation-based Multi-Objective Optimisation
… decision support using simulation-based multi-objective optimisation is proposed. The framework incorporates modelling and the optimisation of production systems, costs, and sustainability. Decision support is created through the extraction of knowledge from optimised data. A novel method …
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A pragmatic approach to multi-objective optimisation for portfolio asset management
… addressed in the literature, those pertaining to multi-unit systems have particularly intrigued researchers because of their profound effects on the organisational performance. Despite impressive strides made in improving maintenance planning for assets of a single type, only a paucity of research …
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Optimisation over the non-dominated set of a multi-objective optimisation problem
In this thesis we are concerned with optimisation over the non-dominated set of a multiobjective optimisation problem. A multi-objective optimisation problem (MOP) involves multiple conflicting objective functions. The non-dominated set of this problem is of interest because it is composed of the …
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Nature-Inspired Multi-Objective Optimisation and Transparent Knowledge Discovery via Hierarchical Fuzzy Modelling
… designs (solutions) from a set of predefined objectives. The theoretical aspects behind the previous two research facets are described and the associated experimental studies are carried out. A particular focus of this thesis is on a cooperative fuzzy modelling framework, which integrates …
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A multi-objective optimisation approach to the network arrangement of flexible heat demand
… manner. This research has modified and used a multi-objective network planning framework to determine the optimal arrangement of ETS devices in distribution networks. The framework is built around the Strength Pareto Evolutionary Algorithm 2 (SPEA2), which takes its inspiration from evolution …
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Integrated renewable energy polygeneration networks: a multi-objective optimisation and game theoretic approach
Renewable energy integration and process optimisation have been employed to address the ever-increasing concerns regarding energy security and pollutant emissions worldwide. Mathematical modelling, paired with game theory principles, can optimize decision-making among stakeholders, enhancing …
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Assessment of pre-treatment technologies for bio-ethanol production using multi-objective optimisation
… considers economics and environmental impact as objectives should be employed. This thesis uses a systematic approach to develop mixed integer non-linear programs (MINLPs) of pre- treatment options for sugarcane bagasse. The superstructure of pre-treatment options is aimed at embedding the key …
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Computational Modelling of Functionally-Identified Retinal Ganglion Cells using a Multi-Objective Optimisation Approach
… and OFF RGC models were developed by integrating multiple experimental information and biophysical principles, allowing the contribution of various morphological and intrinsic RGC properties in shaping RGC response patterns to be isolated. The multiple data used to optimise model parameters …
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Multi-objective optimisation of additive manufactured heat exchangers with lattice-like topology for aeronautical applications
L'abstract è presente nell'allegato / the abstract is in the attachment
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Modelling and multi-objective optimisation of heat transfer characteristics and pressure drop of nanofluids in microtubes
… and highest heat transfer. This was done with a multi-objective optimisation general algorithm. The outcome of the optimisation was that silicon dioxide, as nanoparticle, and water, as base fluid, would give the optimal setup. The diameter also appeared to have a very small effect on the outcome.
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A multi-objective optimisation of a stiffened GFRP sandwich panel with a bilayer core structure, through finite element analysis
Glass fibre reinforced polymer (GFRP) sandwich panels, known for their high strength-to-weight ratio, are increasingly utilized in weight-sensitive civil engineering applications. This dissertation focused on optimizing a stiffened, bilayer GFRP sandwich panel as a monolithic slab within domestic …
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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.
… of drug concentrations at the tumour sites. Multi-objective Genetic Algorithm (MOGA) is then employed to find suitable solutions where drug resistances and drug concentrations are incorporated with cancer cell killing and toxic effects as design objectives. Several constraints and specific …
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