Name
Abstract | ||
|---|---|---|
This paper defines a class of evolutionary algorithms called evolutionary pattern search algorithms (EPSAs) and analyzes their convergence properties. This class of algorithms is closely related to evolutionary programming, evolution strategie and real-coded genetic algorithms. EPSAs are self-adapting evolutionary algorithms that modify the step size of the mutation operator in response to the success of previous optimization steps. The rule used to adapt the step size can be used to provide a... |
Year | Venue | Keywords |
|---|---|---|
1996 | FOGA | evolutionary algorithm,evolutionary programming,pattern search,evolution strategy |
Field | DocType | Citations |
Memetic algorithm,Mathematical optimization,Human-based evolutionary computation,Computer science,Evolutionary computation,Stationary point,Evolution strategy,Symbolic convergence theory,Evolutionary programming,Evolutionary music | Conference | 5 |
PageRank | References | Authors |
1.33 | 10 | 1 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| William E. Hart | 1 | 1028 | 141.71 |