A parallel evolutionary algorithm to search for global minima geometries of heterogeneous ab initio atomic clusters.
Omar Paranaiba Vilela NetoMarco Aurélio Cavalcanti PachecoPublished in: IEEE Congress on Evolutionary Computation (2011)
Keyphrases
- evolutionary algorithm
- global minima
- optimization problems
- parallel search
- search algorithm
- search space
- multi objective
- evolutionary search
- depth first search
- search results clustering
- clustering algorithm
- search efficiency
- fitness function
- function optimization
- multi objective optimization
- hierarchical clustering
- simulated annealing
- global minimum
- parallel computing