This paper describes an experiment to test the performance of Kriging surrogate modelling optimisation techniques on a building design problem with discrete design choices. Surrogate modelling optimisation offers advantages over traditional optimisation techniques on design problems with expensive (time consuming) performance evaluation models. The techniques are tested for both single and mult...

Online set-point optimisation which cooperates with model predictive control (MPC) and its application to a yeast fermentation process are described. A computationally efficient multilayer control system structure with adaptive steady-state target optimisation (ASSTO) and a suboptimal MPC algorithm are presented in which two neural models of the process are used. For set-point optimisation, a s...

One way to address multi-scale optimisation problems is by integrating logic and optimisation. For example, a scheduling problem may have two levels: (i) assigning orders to machines and (ii) sequencing orders on each machine. In a minumum cost model, assigning orders to machines is a mixed-integer optimisation problem, sequencing orders is a constraint satisfaction problem. The entire problem ...

This paper considers the application of Bayesian optimisation to well-known multidimensional knapsack problem which is strongly NP-hard. For with a large number items and constraints, two-level formulation presented take advantage global capability approach, efficiency integer programming solvers on small problems. The first level makes decisions about optimal allocation capacities different it...

This paper introduces a real, unmodified Many-Objective optimisation problem for use in optimisation algorithm benchmarking. The radar waveform design problem has 9 objectives and an integer decision space that can be scaled from 4 to 12 decision variables. Proprietary radar waveform design software has been encapsulated in a fast and portable form to facilitate research groups in studying high...

This paper proposes a method for designing EMC shielding enclosures using a peer-to-peer based distributed optimisation system based on a modified particle swarm optimisation (PSO) algorithm. This optimisation system is used to efficiently obtain optimal solutions to a shielding enclosure design problem by sampling only a small fraction of the total problem space. Such a system would find use i...

In this study, the authors propose a method to minimise the multi-user interference (MUI) caused by multiple access (MA) in a time hopping ultra-wide-band (TH-UWB) system with line-of-sight (LOS) multi-path channel in a residential environment IEEE 802.15.4a channel model. The authors considered both synchronous and asynchronous cases. The problem is formulated as a combinatorial optimisation p...

Solving dynamic combinatorial problems poses a particular challenge to optimisation algorithms. Optimising a problem that does not notify the solver when a change has been made is very difficult for most well-known algorithms. Extremal Optimisation is a recent addition to the group of biologically inspired optimisation algorithms. Due to its extremely simple functionality, it is likely that the...