Analysing the performance of dynamic multi-objective optimisation algorithms.
Mardé HelbigAndries P. EngelbrechtPublished in: IEEE Congress on Evolutionary Computation (2013)
Keyphrases
- theoretical analysis
- orders of magnitude
- computational complexity
- computationally efficient
- optimization problems
- dynamic environments
- neural network
- learning algorithm
- search space
- computationally expensive
- multi objective optimisation
- database
- recently developed
- combinatorial optimization
- computational efficiency
- benchmark datasets
- machine learning algorithms
- worst case
- computational cost
- significant improvement
- image processing
- real time