Name
Abstract | ||
|---|---|---|
This paper describes the enhancement of the Water Cycle Algorithm (WCA) using a fuzzy inference system to adapt its parameters dynamically. The original WCA is compared regarding performance with the proposed method called Water Cycle Algorithm with Dynamic Parameter Adaptation (WCA-DPA). Simulation results on a set of well-known test functions show that the WCA can be improved with a fuzzy dynamic adaptation of the parameters. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-3-319-62434-1_21 | ADVANCES IN COMPUTATIONAL INTELLIGENCE, MICAI 2016, PT I |
Keywords | Field | DocType |
WCA,Fuzzy logic,Optimization | Water cycle algorithm,Computer science,Fuzzy logic,Artificial intelligence,Water cycle,Machine learning,Fuzzy inference system | Conference |
Volume | ISSN | Citations |
10061 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eduardo Méndez | 1 | 0 | 0.34 |
| Oscar Castillo | 2 | 5289 | 452.83 |
| José Soria | 3 | 318 | 19.92 |
| Patricia Melin | 4 | 4009 | 259.43 |
| Ali Sadollah | 5 | 336 | 20.61 |