Evolutionary algorithms have successfully been applied to evolve problem instances that
exhibit a significant difference in performance for a given algorithm or a pair of algorithms …

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 …

Evolutionary diversity optimization aims to compute a set of solutions that are diverse in the
search space or instance feature space, and where all solutions meet a given quality …

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 …

Diversity plays a crucial role in evolutionary computation. While diversity has been mainly
used to prevent the population of an evolutionary algorithm from premature convergence …

Computing diverse sets of high-quality solutions has gained increasing attention among the
evolutionary computation community in recent years. It allows practitioners to choose from a …

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 …

In the area of evolutionary computation the calculation of diverse sets of high-quality
solutions to a given optimization problem has gained momentum in recent years under the …

Evolving diverse sets of high quality solutions has gained increasing interest in the
evolutionary computation literature in recent years. With this paper, we contribute to this area …