MOTA: A Many-Objective Tuning Algorithm Specialized for Tuning under Multiple Objective Function Evaluation Budgets.
Antoine S. D. DymondSchalk KokP. Stephan HeynsPublished in: Evol. Comput. (2017)
Keyphrases
- objective function
- cost function
- optimal solution
- learning algorithm
- times faster
- parameter tuning
- computational cost
- high accuracy
- dynamic programming
- optimization algorithm
- parameter settings
- constrained optimization
- computational complexity
- feature selection
- improved algorithm
- recognition algorithm
- detection algorithm
- optimization criterion
- computationally efficient
- expectation maximization
- experimental evaluation
- significant improvement
- preprocessing
- theoretical analysis
- particle swarm optimization
- linear programming
- convergence rate
- knapsack problem
- simulated annealing
- np hard
- global optimum
- data sets