An open-source reaction simulator was designed to benchmark the performance of multi-objective optimisation algorithms using chemistry-inspired test problems, which validated an experimental self-optimisation platform.

Requirements prioritisation is a key decision making activity of the software development process, which relies on the capability of different decision-makers to identify the optimal candidate rankings of the requirements, in order to be able to perform a strategic choice among them. In this paper, we formulate such multi-decision-maker requirements prioritisation as a multi-objective optimisat...

The Receiver Operating Characteristic (ROC) has become a standard tool for the analysis and comparision of classifiers when the costs of misclassification are unknown. There has been relatively little work, however, examining ROC for more than two classes. Here we discuss and present a number of different extensions to the standard two-class ROC for multi-class problems. We define the ROC surfa...

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...

inspired multi-objective optimisation algorithm Jun Chena, Mahdi Mahfouf, Gaffour Sidahmed, doi:10.1016/j.engappai.2014.08.014 Highlights • We model mechanical properties of heat treated alloy steel using interpretable fuzzy models. • We demonstrate how to locate the ‘best’ processing parameters and chemical compositions. • We demonstrate how to achieve certain mechanical properties. • We demon...

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...

Multi-objective optimisation is a proven, well-known parameter tuning technique in control design. It is especially suited to solve complex, multi-disciplinary design problems. This paper describes a software environment, called MOPS (Multi-Objective Parameter Synthesis), which supports the control engineer in setting up his design problem as a properly formulated multi-objective optimisation t...

The application of multi-objective optimisation to evolutionary robotics has been so far relatively limited. Despite a few examples exist, the benefits of multi-objective optimisation when applied to the design of autonomous robotic systems have not been clearly spelled out and experimentally demonstrated. A survey of the literature on evolutionary robotics shows the lack of systematic studies ...