PBA2CUDA - A Framework for Parallelizing Population Based Algorithms Using CUDA.
Ioannis ZgerasJürgen BrehmMichael KnoppikPublished in: ARCS Workshops (2014)
Keyphrases
- main contribution
- times faster
- computationally efficient
- learning algorithm
- fusion framework
- significant improvement
- computational cost
- gpu accelerated
- combinatorial optimization
- optimization problems
- web services
- evolutionary algorithm
- data mining techniques
- data streams
- reinforcement learning
- data mining algorithms
- computational efficiency
- differential evolution
- decision trees
- recently developed
- image processing
- real time