Name
Abstract | ||
|---|---|---|
•The software framework jMetalSP for Big Data Optimization is presented.•jMetalSP has been deployed on a Hadoop/Spark cluster to solve the dynamic TSP.•Three different data sources have been considered: Open Data, Twitter, and Kafka.•Obtained solutions are able to adapt to changing traffic conditions in NY.•jMetalSP is open source and free available to academic and industry communities. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.asoc.2017.05.004 | Applied Soft Computing |
Keywords | Field | DocType |
Big data optimization,Multi-objective optimization,Metaheuristics,Software framework,jMetal,Apache Spark | Mathematical optimization,Spark (mathematics),Computer science,Multi-objective optimization,Artificial intelligence,Dynamic problem,Optimization problem,Big data,Software framework,Machine learning,Computer cluster,Metaheuristic | Journal |
Volume | ISSN | Citations |
69 | 1568-4946 | 6 |
PageRank | References | Authors |
0.41 | 18 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cristobal Barba Gonzalez | 1 | 14 | 3.66 |
| José García-Nieto | 2 | 348 | 25.75 |
| Antonio J. Nebro | 3 | 1118 | 54.62 |
| José A. Cordero | 4 | 6 | 0.41 |
| Juan José Durillo | 5 | 272 | 14.31 |
| Ismael Navas Delgado | 6 | 140 | 13.78 |
| José Francisco Aldana Montes | 7 | 276 | 36.81 |