An algorithm based on Wang-Landau sampling for finding the global minimum of atomic clusters.
Juan Carlos RuizLuis RincónPublished in: J. Comput. Methods Sci. Eng. (2009)
Keyphrases
- global minimum
- monte carlo
- simulated annealing
- cost function
- energy function
- hierarchical clustering
- global minimization
- global optimum
- optimization algorithm
- dynamic programming
- input data
- optimal solution
- energy minimization
- k means
- particle swarm optimization
- image matching
- convergence rate
- graph partitioning
- search space
- sampling algorithm
- error function