Evolving diverse TSP instances by means of novel and creative mutation operators
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 …
exhibit a significant difference in performance for a given algorithm or a pair of algorithms …
Analysis of evolutionary diversity optimization for permutation problems
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 …
extension to the traditional optimization tasks. This work contributes to this line of research …
Diversity optimization for the detection and concealment of spatially defined communication networks
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 …
has become an important topic. The goal of computing diverse sets of high quality solutions …
On the Use of Quality Diversity Algorithms for the Travelling Thief Problem
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 main problem. There is an inter-dependency between the sub-problems, making it …
Evolutionary diversity optimization using multi-objective indicators
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 …
search space or instance feature space, and where all solutions meet a given quality …
Discrepancy-based evolutionary diversity optimization
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 …
used to prevent the population of an evolutionary algorithm from premature convergence …
Entropy-based evolutionary diversity optimisation for the traveling salesperson problem
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 …
evolutionary computation community in recent years. It allows practitioners to choose from a …
Constructing classifiers for imbalanced data using diversity optimisation
Imbalanced data is challenging in classification. This paper proposes a new approach to
address imbalanced data by adopting diversity optimisation to generate synthetic instances …
address imbalanced data by adopting diversity optimisation to generate synthetic instances …
Evolutionary diversity optimisation for the traveling thief problem
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 …
diverse set of high-quality solutions for a given optimisation problem. This can provide the …
Evolutionary diversity optimization and the minimum spanning tree problem
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 …
solutions to a given optimization problem has gained momentum in recent years under the …