Generating diverse populations of high-quality solutions has gained interest as a promising
extension to the traditional optimization tasks. This work contributes to this line of research …

In real-world optimisation, it is common to face several sub-problems interacting and forming
the main problem. There is an inter-dependency between the sub-problems, making it …

This study proposes Evolutionary Diversity Optimisation (EDO) to Lower the Probability of
Detection (LPD) in directed wireless networks. LPD communication aims to communicate …

There has been a growing interest in the evolutionary computation community to compute a
diverse set of high-quality solutions for a given optimisation problem. This can provide the …

Computing diverse sets of high quality solutions for a given optimization problem has
become an important topic in recent years. In this paper, we introduce a coevolutionary …

Generating instances of different properties is key to algorithm selection methods that
differentiate between the performance of different solvers for a given combinatorial …

Quality diversity (QD) algorithms have been shown to be very successful when dealing with
problems in areas such as robotics, games and combinatorial optimization. They aim to …

How people spend their finite time budget of 24 hours on daily activities is linked to their
wellbeing. Yet, how to best allocate time to optimise multi-dimensional wellbeing (physical …

Real-world optimization problems often require finding not only one good solution, but a
diverse set of good solutions. Evolutionary algorithms (EAs) have been shown to suit well for …

Creating diverse sets of high-quality solutions has become an important problem in recent
years. Previous works on diverse solutions problems consider solutions' objective quality …