Tuning Optimization Algorithms Under Multiple Objective Function Evaluation Budgets.
Antoine S. D. DymondAndries P. EngelbrechtSchalk KokP. Stephan HeynsPublished in: IEEE Trans. Evol. Comput. (2015)
Keyphrases
- optimization problems
- objective function
- discrete optimization
- combinatorial optimization
- unconstrained optimization
- times faster
- derivative free
- data structure
- computational complexity
- tuning parameters
- computationally efficient
- evaluation methods
- orders of magnitude
- fine tuning
- optimization methods
- machine learning algorithms
- computational cost
- significant improvement
- learning algorithm
- optimization method
- genetic algorithm
- benchmark datasets
- parameter settings
- evaluation metrics
- parameter tuning
- optimization algorithm
- evolution strategy
- linear programming
- optimal solution