On the Use of Quality Diversity Algorithms for the Travelling Thief Problem.
Adel NikfarjamAneta NeumannFrank NeumannPublished in: ACM Trans. Evol. Learn. Optim. (2024)
Keyphrases
- computationally expensive
- high quality
- recently developed
- significant improvement
- computationally efficient
- times faster
- higher quality
- learning algorithm
- data clustering
- benchmark datasets
- poor quality
- quality measures
- data mining algorithms
- metaheuristic
- orders of magnitude
- real time
- worst case
- optimal solution
- bayesian networks
- machine learning
- data sets