A new point-infilling and level-setting algorithm enhanced by heuristic searching and incremental clustering to solve global optimization problems.
Qiang ZhaoChangwei LiPublished in: J. King Saud Univ. Comput. Inf. Sci. (2022)
Keyphrases
- incremental clustering
- global optimization problems
- dynamic programming
- learning algorithm
- optimal solution
- objective function
- simulated annealing
- optimization algorithm
- similarity measure
- convergence rate
- clustering method
- neural network
- solution quality
- k means
- search space
- benchmark problems
- probabilistic model
- combinatorial optimization
- linear programming
- np hard
- evolutionary algorithm
- machine learning