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 recent years, computing diverse sets of high quality solutions for an optimization problem
has become an important topic. The goal of computing diverse sets of high quality solutions …

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 …

We study a Stackelberg game between one attacker and one defender in a configurable
environment. The defender picks a specific environment configuration. The attacker …

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 …

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 …

Evolutionary algorithms based on edge assembly crossover (EAX) constitute some of the
best performing incomplete solvers for the well-known traveling salesperson problem (TSP) …

Active Directory (AD) is the default security management system for Windows domain
networks. An AD environment can be described as a cyber-attack graph, with nodes …

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 …