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Showing 1 to 14 of 14 for “"Robust optimisation"”.
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Combinatorial and Robust Optimisation Models and Algorithms for Railway Applications
… deals with an investigation of combinatorial and robust optimisation models to solve railway problems. Railway applications represent a challenging area for operations research. In fact, most problems in this context can be modelled as combinatorial optimisation problems, in which the number of …
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Bayesian robust optimisation of buckling loads of trusses with random imperfections
Structural optimisation with linear responses is a highly active research field with broad applications. In practice, nonlinear structural behaviour and random imperfections different from the ideal design often need to be considered. Optimised lightweight structures, such as truss-based shallow …
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Robust portfolio construction using sorting signatures
… nature of the resultant portfolios from the optimisation. These disappointing results have been linked to the presence of estimation error in the estimates of the expected returns and covariances which serve as input to the optimisation. Several attempts have been made to produce more …
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Distributed Generation Capacity Assessment of Active Distribution Systems
… range rather than a single value. We develop two optimisation-based models to obtain the lower and upper bounds of the network's DG capacity. We also evaluate the impact of the fairness element and active network management (ANM) schemes on improving the network's capacity. Finally, we investigate …
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Distributed Generation Capacity Assessment of Active Distribution Systems
… range rather than a single value. We develop two optimisation-based models to obtain the lower and upper bounds of the network's DG capacity. We also evaluate the impact of the fairness element and active network management (ANM) schemes on improving the network's capacity. Finally, we investigate …
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Control of multiclass queueing systems with abandonments and adversarial customers
… where and when to attack and formulate it as a robust optimisation problem. In this case, we demonstrate the optimality of the last-come first-served policy in single queue systems. In systems with multiple queues, we develop effective heuristic policies based on the last-come first-served …
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SPDE-derived random fields in structural optimisation and elastodynamics
… variability with applications on structural optimisation and statistical inference. Gaussian random fields on lattice structures are modelled by exploiting the established connection between random fields and stochastic partial differential equations (SPDEs). For a random field with Matérn …
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Optimisation of racing car suspensions featuring inerters
… This work is a research study on the design and optimisation of high performance vehicle suspensions using inerters. The starting point is a theoretical investigation of the dynamics of a system fitted with an ideal inerter. This sets the foundation for developing a more complex and novel vehicle …
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Optimised solder interconnections in crystalline silicon (c-Si) photovoltaic modules for improved performance in elevated temperature climate
… over 40% of c-Si PV module failures. Hence the optimisation of c-Si PV module solder interconnections for improved performance in elevated temperature climate is the focus of this research. The effects of relevant reliability influencing factors (RIFs) on the performance (thermo-mechanical …
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Hybrid optimisation and formation of index tracking portfolio in TSE
Asset allocation and portfolio optimisation are some of the most important steps in an investors decision making process. In order to manage uncertainty and maximise returns, it is assumed that active investment is a zero-sum game. It is possible however, that market inefficiencies could provide …
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A type-2 fuzzy logic based goal-driven simulation for optimising field service delivery
… the relevancy of inputs, the modelling of a robust optimisation method for operational sustainability in the telecommunications sector, the design of an agile modelling approach for scalability and consistency, the formalisation of a novel fuzzy-logic system for goal-driven simulation for …
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Local Market Mechanisms: how Local Markets can shape the Energy Transition
… and electrical network. Finally, even though the robust optimisation increases the final cost in the market, it allows to cover the system operator from uncertainties. The second step delves into the concept of network congestion. While congestion management is primarily the domain of operators, …
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Statistical Surrogate Models for Robust Design Optimisation in Reduced Dimension
… crucial for multi-query problems such as design optimisation. However, the design of these products depends on complex and often deterministic computational models that may be expensive-to-evaluate. Consequently, it is expedient to consider these models as black-box functions, such that they are …
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Mathematical Optimisation Advances in Process Systems Engineering
… 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. Over a …