An effective method utilizing the differential evolution algorithm (DEA) as an optimisation solver is suggested here to detect the location and extent of single and multiple damages in structural systems using time domain response method. Changes in acceleration response of structure are considered as a criterion for damage occurrence. The acceleration of structures is obtained using Newmark me...

The main metric used for SMT systems evaluation an optimisation is BLEU score but this metric is questioned about its relevance to human evaluation. Some other metrics already exist but none of them are in perfect harmony with human evaluation. On the other hand, most evaluations use multiple metrics (BLEU, TER, METEOR, etc.). Systems can optimise toward other metrics than BLEU. But optimisatio...

Many industrial processes involve heating and cooling liquids: a quarter of the EU 2012 energy consumption came from industry and industry uses 73% of this energy on heating and cooling. We discuss mixed-integer nonlinear optimisation and its applications to energy efficiency. Our particular emphasis is on algorithms and solution techniques enabling optimisation for large-scale industrial netwo...

The paper investigates the application of two advanced optimisation methods for solving active flow control device shape design problem and compares their optimisation efficiency in terms of computational cost and design quality. The first optimisation method uses Hierarchical Asynchronous Parallel Multi-Objective Evolutionary Algorithm (HAPMOEA) and the second uses Hybridized EA with Nash-Game...

Evolutionary algorithms are robust and adaptive. They have found a wide variety of applications solving optimisation and search problems. As one of the main stream algorithms in evolutionary computation evolutionary programming (EP) mainly uses real values of parameters. This makes it very attractive for many engineering optimisation applications. In addition to the evolutionary characteristics...

In many areas of design search and optimisation one needs to utilize Computational Fluid Dynamics (CFD) methods in order to obtain a numerical solution of the flow field in and/or around a proposed design. From this solution measures of quality for the design may be calculated, which are then used by the optimisation methods. In large models the processing time for the CFD computations can very...

In many areas of design search and optimisation one needs to utilize Computational Fluid Dynamics (CFD) methods in order to obtain numerical solution of the flow field in and/or around a proposed design. From this solution measures of quality for the design may be calculated, which are required by optimisation methods. In large models the processing time for the CFD computations can very well b...

Automation engineering education and research at University of Vaasa is computationally oriented. Computational intelligence, especially evolutionary algorithms and their applications, are worked on. The applications range from various optimisation problems in engineering to medical and economic applications. Judged by the number of published papers the automation group is the leading one in ev...

Dynamic problems and nature inspired meta-heuristics. Originally published in Studies in computational intelligence: Biologically-inspired optimisation methods: parallel algorithms, systems and applications, Chapter 4, pp. 79-110 Summary. Biological systems have often been used as the inspiration for search techniques to solve continuous and discrete combinatorial optimisation problems. One of ...

Ultrasonic arrays are now used routinely for the inspection of engineering structures in order to maintain their integrity and assess their performance. Such inspections are usually optimised manually using empirical measurements and parametric studies which are laborious, time-consuming, and may not result in an optimal approach. In this paper, a general framework for the optimisation of ultra...