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 …

The evolutionary algorithm has been extensively used to solve a range of combinatorial
optimization problems. The adaptability of evolutionary algorithm mechanisms provides …

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 …

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

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 …

Computing diverse solutions for a given problem, in particular evolutionary diversity
optimisation (EDO), is a hot research topic in the evolutionary computation community. This …

Diversification in a set of solutions has become a hot research topic in the evolutionary
computation community. It has been proven beneficial for optimisation problems in several …

A plethora of combinatorial optimization problems can be linked to real-life decision
scenarios. Even nowadays, more diverse and complex problems are popping up. One of …

The diversity optimization is the class of optimization problems, in which we aim at finding a
diverse set of good solutions. One of the frequently used approaches to solve such problems …