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 10 of 10 for “"Multi-objective optimisation problem"”.
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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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Absorption and metabolism of fatty acid: inverse problems and uncertainty studies
… rate, related to these models using inverse problem technique. A significant process in the triglyceride absorption is the hydrolysis reaction which releases fatty acids molecules for human activities. Modelling the hydrolysis process is difficult due to the complex reaction in the digestive …
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Smart charging strategies for electric vehicle charging stations
… in addressing the global environmental pollution problem, consumer concerns over the limited availability of charging stations and long charging/waiting times are major contributors to the slow uptake of plug-in electric vehicles (PEVs) in many countries. To address the consumer concerns, many …
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Optimisation of electrical machines using data-driven dynamic thermal models and surrogate-based multi-objective evolutionary algorithms.
… hand, electrical machine design is inherently a Multi-Objective Optimisation Problem (MOOP). Although Multi-Objective Evolutionary Algorithms (MOEAs) are widely used, they require the evaluation of thousands of candidate designs, making them impractical when fitness function evaluations are …
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Modelling, Simulation, and Optimisation of Reverse Osmosis Process with Application in Wastewater Treatment and Food Processing
… before being used in further simulation and optimisation studies for both wastewater treatment and fruit juice concentration. Wastewater effluents of many industrial applications contain a variety of micro-pollutants and highly-toxic compounds, which are released into a variety of water …
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Optimisation of South Africa's biomass to bio-ethanol supply chain network
This study is about the optimisation of bio-ethanol supply chains for economic and environmental objectives, using a mathematical programming approach. A superstructure presented as a Mixed Integer Linear Programme (MILP) model that adequately captures the key variables in South Africa's …
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Stability and Spectral Properties in the Max Algebra with Applications in Ranking Schemes
… to ranking applications in decision making problems. In particular, we focus on deriving ranking schemes for the Analytic Hierarchy Process (AHP). We start by describing fundamental concepts that will be used throughout the thesis after a general introduction. We also state well-known …
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Efficient radio resource management in integrated terrestrial and non-terrestrial networks
… and nonterrestrial network (ITNTN) consisting of multiple radio access networks (RANs) coexisting to provide radio access to multi-mode user equipment. This thesis addresses the problem of efficient user association and resource allocation in the ITNTN. The RANs in the ITNTN have different …
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Multi-objective optimisation under deep uncertainty
Most of the decisions in real-life problems need to be made in the absence of complete knowledge about the consequences of the decision. Furthermore, in some of these problems, the probability and/or the number of different outcomes are also unknown (named deep uncertainty). Therefore, all the …
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A private sector-inclusive governance framework for local economic development in rural areas of Limpopo Province in South Africa
… Sustainable Development Goals (SDGs), weakening multi-stakeholder partnerships—including government, civil society, and the private sector—that are essential for achieving the SDGs. To investigate these challenges, this study employed a mixed-methods research approach, integrating quantitative …