Most studies of resource allocation mechanisms in Internet traffic have used a performance model of the resource provided, where the very concept of the resource is defined in terms of measurable qualities of the service such as utilization, throughput, response time (delay), security level among others. Optimization of resource allocation is defined in terms of these measurable qualities. One ...

Engineering optimization relies routinely on deterministic computer based design evaluations, typically comprising geometry creation, mesh generation and numerical simulation. Simple optimization routines tend to stall and require user intervention if a failure occurs at any of these stages. This motivated us to develop an optimization strategy based on surrogate modelling, which penalizes the ...

Combinatorial optimization problems are usually tackled in two steps: modelling and solving. Three main approaches are used for solving: Mathematical Methods (MM), Constraint Programming (CP) and Local Search (LS). For modelling the main tools are constraint programming languages, constraint programming libraries and (mathematical) modelling languages. Modelling languages provide the best appro...

The primary objective of this dissertation is to develop a black box optimization tool. The algorithm should be able to solve complex nonlinear, multimodal, discontinuous and mixed-integer power system optimization problems without any model reduction. Although there are many computational intelligence (CI) based algorithms which can handle these problems, they require intense human interventio...

We report on recent progress towards the development of a 3D optimization capability for transonic ow at high Reynolds numbers. In this paper we demonstrate optimization based on the 3D laminar Navier-Stokes equation, and we present validation of the ow analysis scheme based on the 2D Navier-Stokes equations with turbulence modelling.