The current state of traditional software development is surveyed and essential problems are investigated on the basis of system theoretical considerations. The concept of optimisation cycle is proposed as a solution. The relation of several different kinds of local optimisation cycles to the specifications, the communications, and the optimisation barrier is integrated into a concept of partic...

Interactive Multi-Objective Optimisation is an increasing field of evolutionary and swarm intelligence-based algorithms. By involving a human decision, a set of relevant non-dominated points can often be acquired at significantly lower computational costs than with a posteriori algorithms. A rarely addressed issue in interactive optimisation is the design of efficient user interfaces and the ap...

We present an efficient block-diagonal approximation to the Gauss-Newton matrix for feedforward neural networks. Our resulting algorithm is competitive against state-of-the-art first-order optimisation methods, with sometimes significant improvement in optimisation performance. Unlike first-order methods, for which hyperparameter tuning of the optimisation parameters is often a laborious proces...

Using a standard commercial package, case studies in shape optimisation were used to investigate rules and heuristics for identifying design variables for shape optimisation and incremental updates to the topology of a geometric model from finite element stress results. Topological modifications based on the classical Euler operations were used. The results indicate that intelligent interpretat...

This work presents the optimisation of PIFA (Planar Inverted-F Antenna) antennas in order to achieve a large bandwidth in the 2 GHz band, using an optimisation technique based on genetic algorithms. During the optimisation process, the different antenna models have been evaluated using the finite-difference time domain (FDTD) method. As a result of this optimisation, a simple PIFA antenna was o...

Evolution Strategies are global, direct optimisation algorithms, which have proven their efficiency in engineering applications for a large number of industrial applications. In this paper, the basic algorithm and some of its recent variants for design optimisation are presented. In addition, we give an overview of applications and a comparison to other optimisation algorithms. As an example we...

Previous implementations of the Aq algorithm have used rule optimisation search strategies to attempt to develop optimal classification procedures. These strategies involve generating successive characteristic descriptions each of which is individually of maximal value. This is contrasted with theory optimisation search strategies which, instead, generate successive complete classification proc...

in this research, active capacitance circuit and the feature of negative resistance are analysed in details. also, a new active filter is presented based on active capacitance circuit. for simulations, we used matlab and advanced design system(ads). proposed active filter (rf) is a narrow band filter. the results of simulation shows some aspects of sustainability and low noise feature. the circ...

Tidal stream power generation represents a promising source of renewable energy. In order to extract an economically useful amount of power, tens to hundreds of tidal turbines need to be placed within an array. The layout of these turbines can have a significant impact on the power extracted and hence on the viability of the site. Funke et al. [15] formulated the question of the best turbine la...

This paper introduces a modelling concept which aims at creating an environment which allows the application of global optimisation techniques like Genetic Algorithms in dynamic and complex environments. Such environments are often modelled using multi agent systems. The self-evident drawback of multi agent approaches is that global optimisation techniques are not applicable naturally. The mode...