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 …
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 optimisation for sparse directed communication networks
This study proposes Evolutionary Diversity Optimisation (EDO) to Lower the Probability of
Detection (LPD) in directed wireless networks. LPD communication aims to communicate …
Detection (LPD) in directed wireless networks. LPD communication aims to communicate …
Evolving Reinforcement Learning Environment to Minimize Learner's Achievable Reward: An Application on Hardening Active Directory Systems
We study a Stackelberg game between one attacker and one defender in a configurable
environment. The defender picks a specific environment configuration. The attacker …
environment. The defender picks a specific environment configuration. The attacker …
Quality diversity approaches for time-use optimisation to improve health outcomes
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 …
wellbeing. Yet, how to best allocate time to optimise multi-dimensional wellbeing (physical …
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 …
A Detailed Experimental Analysis of Evolutionary Diversity Optimization for OneMinMax
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 …
diverse set of good solutions. Evolutionary algorithms (EAs) have been shown to suit well for …
Computing diverse sets of high quality TSP tours by EAX-based evolutionary diversity optimisation
Evolutionary algorithms based on edge assembly crossover (EAX) constitute some of the
best performing incomplete solvers for the well-known traveling salesperson problem (TSP) …
best performing incomplete solvers for the well-known traveling salesperson problem (TSP) …
Coevolutionary Pareto diversity optimization
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 …
become an important topic in recent years. In this paper, we introduce a coevolutionary …
Exploring the feature space of TSP instances using quality diversity
Generating instances of different properties is key to algorithm selection methods that
differentiate between the performance of different solvers for a given combinatorial …
differentiate between the performance of different solvers for a given combinatorial …