A solution to statistical and multidisciplinary design optimization problems using hGWO-SA algorithm.
Ashutosh BhadoriaSanjay MarwahaVikram Kumar KambojPublished in: Neural Comput. Appl. (2021)
Keyphrases
- optimal solution
- dynamic programming
- cost function
- optimization problems
- computational complexity
- hybrid algorithm
- theoretical analysis
- simulated annealing
- learning algorithm
- detection algorithm
- experimental evaluation
- segmentation algorithm
- global solution
- benchmark problems
- optimization algorithm
- computationally efficient
- search algorithm
- worst case
- search space
- solution space
- computational cost
- iterative procedure
- convergence rate
- significant improvement
- evolutionary algorithm
- hypothesis testing
- convex hull
- matching algorithm
- solution quality
- preprocessing
- improved algorithm
- times faster
- iterative algorithms
- subgradient method
- combinatorial optimization
- closed form
- differential evolution
- ant colony optimization
- metaheuristic
- neural network
- np hard
- expectation maximization
- probabilistic model