Continuous surrogate-based optimization algorithms are well-suited for expensive discrete problems.
Rickard KarlssonLaurens BliekSicco VerwerMathijs de WeerdtPublished in: CoRR (2020)
Keyphrases
- optimization problems
- continuous domains
- continuous optimization
- discrete optimization
- combinatorial optimization
- computationally expensive
- convex optimization problems
- optimization algorithm
- continuous state spaces
- computational complexity
- evolutionary algorithm
- discrete variables
- computationally intensive
- difficult problems
- learning algorithm
- optimization methods
- discrete data
- computational geometry
- optimization approaches
- optimal control problems
- continuous variables
- practical problems
- related problems
- benchmark problems
- data structure
- decision trees
- evolution strategy
- problems in computer vision
- combinatorial optimization problems
- global optimization
- quadratic program
- optimization criteria
- np complete
- data mining techniques
- state space
- objective function