Optimisation Problems
Nonlinear convex optimisation problems in the smart grid
... mathematical optimisation problem with the objective to minimise for example the power ...These optimisation problems are nonlinear and convex and therefore solved via the primal-dual interior-point ...
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Finite algorithms for linear optimisation problems
... FINITE ALGORITHMS FOR LINEAR OPTIMISATION PROBLEMS by Va vid I ce aJtk A thesis submitted to the Australian National University for the degree of Doctor of Philosophy J anuary, 1981 (i) ACKNOWLEDGEMEN[.] ...
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On automatic derivation of first order conditions in dynamic stochastic optimisation problems
... Toolboxes aimed at solving dynamic stochastic general equilibrium models (e.g. Dynare [1]) require users to derive first order conditions for agents’ optimisation problems manually. This is most probably ...
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Progressive preference articulation for decision making in multi objective optimisation problems
... This paper proposes a novel algorithm for addressing multi-objective optimisation problems, by employing a progressive preference articu- lation approach to decision making. This enables the interactive ...
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Free Search Towards Multidimensional Optimisation Problems
... and optimisation, different from well-known methods such as Evolutionary Strategies (ES) [27][28], Genetic Algorithms (GA) [15][16], Evolutionary Programming (EP) [14], Particle Swarm Optimisation (PSO) ...
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A Decision Aid Approach for Optimisation Problems Involving Several Economic Functions
... life problems ranging from economic and business to industrial and engineering may be cast into a multi-objective optimisation ...of problems suscep- tible to inconsistencies, coupled with the ...
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Reducing computational effort in field optimisation problems
... orthogonal array (Fowlkes and Creveling, 1995) if the number of variables is high. The model data is subsequently employed to create a neuro-fuzzy model, which provides an approximation of real function. The notion of ...
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Free Search of real value or how to make computers think
... constrained optimisation problems, in what way the new concepts lead to better performance and how they impact on the optimisation ...real-word problems, can be a good indicator for ...
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Applying a global optimisation algorithm to Fund of Hedge Funds portfolio optimisation
... A key characteristic of fund of fund portfolio optimisation, in common with other portfolio optimisation problems, is that the dimensionality of the problem space is large. Typically, a portfolio of ...
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Transformer incipient fault prediction using combined artificial neural network and various particle swarm optimisation techniques
... in optimisation problems ...complex optimisation problems which use huge number of parameters and have difficulty in obtaining the analytical ...
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A LITERATURE REVIEW OF RECENT ADVANCES IN OPTIMAL POWER FLOW
... the optimisation of ELD, which can be divided into conventional and stochastic ...complex problems. The LaGrange Multiplier and LP are unable to solve problems with nonlinear and non-smooth ...
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Optimal Control of Singular System via Discrete Fourier Transform
... and optimisation problems of dynamic systems, was initially established in 1975 when the Walsh-type operational matrix was constructed by the present authors(Chen et ...various problems of dynamic ...
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Grasping the hydra: the need for a holistic and systematic approach to disaster risk reduction
... sub-optimisation problems where the desired outcome is not reached as the factor focused on and/or the desired outcome are dependent on other factors, and (2) make it difficult or impossible to monitor and ...
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Stochastic Modelling of Aircraft Queues: A Review
... scheduling) problems involve planning the order that arriving and/or departing aircraft will use the runway(s) in such a way that a certain performance measure is ...sequencing problems are those in which ...
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A guide to conic optimisation and its applications
... Conic Optimisation is an elegant and powerful generalisation of standard linear programming, which allows one to capture many forms of non-linearity that arise in practi- cal ...-hard) problems, including a ...
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Multi objective optimisation in air conditioning systems : comfort/discomfort definition by IF sets
... The benefit of the IF optimisation problems is twofold: they give richest apparatus for formulation of optimisation problems and, on the other hand, the solution of IF optimisation probl[r] ...
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On a Numerical Algorithm for Uncertain System
... for optimisation problems do not consider the situation when uncertainties are involved in the system, this work is set to give consideration to such problem and for a start we shall develop this method for ...
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Integrated Process Planning and Scheduling in Commercial Smart Kitchens
... The optimisation used by OE is based on ...the optimisation process, these individuals are evolved using a set of bio-inspired operators such as selection, crossing-over and ...
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Evolutionary methods for topology optimisation of continuum structures : static and dynamic problems
... obtain an optimal solution. Stmctural optimisation can be classed into three types:.. Oven/lew of Structural Optimisation. Size optimisation: the design variable can be the thickness of [r] ...
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Hybrid STAN: Identifying and managing combinatorial optimisation sub-problems in planning
... Any correspondence concerning this service should be sent to the Strathprints administrator: [email protected] The Strathprints institutional repository https://strathprints.stra[r] ...
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