An optimisation-based iterative design of fixed-structure controllers with frequencydomain criteria is presented. An interactive multiobjective optimisation procedure is presented, which is based on a direct shaping of the frequency responses, without the need to construct explicit weighting filters. At each iteration, a constrained optimisation problem is formulated in such a way that successi...

The paper presents results of multicriteria optimum design of an embedded rail structure (ERS). The optimality criteria are based on the requirements to railway tracks related to cost efficiency of the design, minimum noise emission and minimum wear of wheels and rails. The design variables comprise the material and geometry properties of ERS, namely elastic properties and volume of compound, s...

This paper presents a general methodology for the offline planning of trajectory of a six axis serial robot along a specified path. The objective of trajectory planning is to minimise a cost function when subjected to joint angles, joint velocities, acceleration, jerks, torques and gripping force constraints by considering dynamic of the robot. A trigonometric spline is used to represent the tr...

In this paper we describe a number of global optimisation problems connected to spacecraft trajectory design. Each problem is coded in the form of a blackbox objective function accepting, as inputs, the decision vector and returning the objective function and the constraint evaluation. The code is made available on line as a challenge to the community to develop performing algorithms able to so...

Alloy design is a challenging multi-objective optimisation problem, which consists of finding the optimal processing parameters and the corresponding chemical compositions to achieve certain pre-defined mechanical properties of steels. In this paper, we combine fuzzy modelling and Particle Swarm Optimisation (PSO) to address the multi-objective optimal alloy design problem. An adaptive weighted...

MAX-SAT, the optimisation variant of the satisfiability problem in propositional logic, is an important and widely studied combinatorial optimisation problem with applications in AI and other areas of computing science. In this paper, we present a new stochastic local search (SLS) algorithm for MAXSAT that combines Iterated Local Search and Tabu Search, two well-known SLS methods that have been...

In engineering it is usually necessary to design systems as cheap as possible whilst ensuring that certain constraints are satisfied. Computational optimisation methods can help to find optimal designs. However, it is demonstrated in this work that an optimal design is often not robust against variations caused by the manufacturing process, which would result in unsatisfactory product quality. ...

Coevolutionary optimisation suffers from a series of problems that interfere with the progressive escalating arms races that are hoped might solve difficult classes of optimisation problem. Here we explore the extent to which encouraging moderation in one coevolving population (termed parasites) can alleviate the problem of coevolutionary disengagement. Results suggest that, under these conditi...

Local vibration absorbers, such as tuned vibration absorbers or local active control systems, can be used to reduce the response of structural components. The optimisation of the position, the number and the properties of these absorbers, is however a problem of many unknowns. This paper studies the use of an efficient simulation technique, namely the wave based method (WBM), in order to obtain...