A hybrid surrogate based algorithm (HSBA) to solve computationally expensive optimization problems.
Hemant Kumar SinghAmitay IsaacsTapabrata RayPublished in: IEEE Congress on Evolutionary Computation (2014)
Keyphrases
- computationally expensive
- cost function
- learning algorithm
- optimization problems
- objective function
- computational complexity
- times faster
- optimization algorithm
- brute force
- recognition algorithm
- detection algorithm
- computationally efficient
- similarity measure
- knapsack problem
- expectation maximization
- improved algorithm
- computational cost
- experimental evaluation
- np hard
- particle swarm optimization
- worst case
- significant improvement
- k means
- optimization method
- evolutionary algorithm
- final result
- tree structure
- input data
- probabilistic model
- multi objective