Name
Title | ||
|---|---|---|
Studying the effect of population size in distributed evolutionary algorithms on heterogeneous clusters. |
Abstract | ||
|---|---|---|
Graphical abstractDisplay Omitted HighlightsWe present a study on the adaptation of the island sizes of a distributed Evolutionary Algorithm to the computational power of the nodes of an heterogene... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.asoc.2015.09.052 | Applied Soft Computing |
Keywords | Field | DocType |
Evolutionary Algorithms,Genetic algorithms,Distributed computing,Parameter tuning,Parameter control | Population,Cluster (physics),Mathematical optimization,Open problem,Evolutionary algorithm,Computer science,Heterogeneous cluster,Population size,Online and offline,Artificial intelligence,Machine learning,Genetic algorithm | Journal |
Volume | ISSN | Citations |
38 | 1568-4946 | 4 |
PageRank | References | Authors |
0.39 | 39 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pablo García-sánchez | 1 | 182 | 32.32 |
| Gustavo Romero | 2 | 197 | 23.79 |
| Jesús González | 3 | 604 | 44.40 |
| Antonio Miguel Mora | 4 | 314 | 42.81 |
| Maribel García Arenas | 5 | 231 | 26.53 |
| Pedro Ángel Castillo | 6 | 17 | 2.23 |
| Carlos M. Fernandes | 7 | 159 | 23.07 |
| Juan Julián Merelo Guervós | 8 | 483 | 75.75 |