Name
Abstract | ||
|---|---|---|
This work presents the experimental results obtained with a distributed computing system created by mapping an evolutionary algorithm to the CouchDB object store. The framework decouples the population from the evolutionary algorithm and -through the API that CouchDB provides- allows the distributed and asynchronous operation of clients written in different programming languages. In this paper we present tests which prove that the novel algorithm design still performs as good as a canonical evolutionary algorithm and discover what are the main issues concerning it, what kind of speedups should we expect, and how all this affects the fundamental evolutionary algorithms concepts. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/CEC.2012.6256622 | IEEE Congress on Evolutionary Computation |
Keywords | Field | DocType |
databases,servers,api,distributed algorithms,programming languages,computer architecture,algorithm design and analysis,evolutionary computation | Population,Evolutionary algorithm,Computer science,Asynchronous operation,Theoretical computer science,Artificial intelligence,Evolutionary programming,Distributed computing,Algorithm design,Evolutionary computation,Distributed algorithm,Evolutionary music,Machine learning | Conference |
ISBN | Citations | PageRank |
978-1-4673-1508-1 | 5 | 0.44 |
References | Authors | |
12 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juan J. Merelo Guervós | 1 | 794 | 128.38 |
| Antonio Mora García | 2 | 54 | 9.91 |
| J. Albert Cruz | 3 | 16 | 1.64 |
| Anna Isabel Esparcia-Alcázar | 4 | 59 | 9.10 |
| Carlos Cotta | 5 | 441 | 36.10 |