Name
Abstract | ||
|---|---|---|
Nowadays, there is a huge interest in developing new approaches for power system-related problem solving. Generally, (meta) heuristic search methods are considered a good alternative to conventional ones. This paper aims to elaborate an original mathematical model focused on genetic algorithms (GA). Several practical issues are presented. Further, it is intended to be used for transmission expansion planning. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-319-18416-6_101 | SOFT COMPUTING APPLICATIONS, (SOFA 2014), VOL 2 |
Keywords | Field | DocType |
Power system,Optimal power flow,Genetic algorithm | Power flow,Computer science,Artificial intelligence | Conference |
Volume | Issue | ISSN |
357 | 2 | 2194-5357 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Constantin Barbulescu | 1 | 3 | 5.52 |
| Stefan Kilyeni | 2 | 2 | 4.49 |
| Attila Simo | 3 | 0 | 2.37 |
| C. Oros | 4 | 0 | 0.34 |