Assessing Quality-Diversity Neuro-Evolution Algorithms Performance in Hard Exploration Problems.
Félix ChalumeauThomas PierrotValentin MacéArthur FlajoletKarim BeguirAntoine CullyNicolas Perrin-GilbertPublished in: CoRR (2022)
Keyphrases
- optimization problems
- hard problems
- related problems
- learning algorithm
- computationally hard
- combinatorial optimization
- practical problems
- np hard problems
- neural network
- approximate solutions
- test problems
- benchmark problems
- high quality
- times faster
- orders of magnitude
- theoretical analysis
- significant improvement
- evolutionary algorithm
- computational problems
- search methods
- data quality
- search strategies
- quality measures
- computational cost
- partial solutions
- data mining
- data sets