Name
Title | ||
|---|---|---|
A New Bat Algorithm Augmentation Using Fuzzy Logic for Dynamical Parameter Adaptation. |
Abstract | ||
|---|---|---|
We describe in this paper a new approach to enhance the bat algorithm using a fuzzy system to dynamically adapt its parameters. The original method is compared with the proposed method and also compared with genetic algorithms, providing a more complete analysis of the effectiveness of the bat algorithm. Simulation results on a set of benchmark mathematical functions show that the fuzzy bat algorithm outperforms the traditional bat algorithm and genetic algorithms. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-27060-9_35 | ADVANCES IN ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, MICAI 2015, PT I |
Keywords | Field | DocType |
Bat algorithm,Mathematical functions,Fuzzy system | Function (mathematics),Bat algorithm,Computer science,Fuzzy logic,Artificial intelligence,Fuzzy control system,Machine learning,Genetic algorithm | Conference |
Volume | ISSN | Citations |
9413 | 0302-9743 | 2 |
PageRank | References | Authors |
0.39 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| jonathan perez | 1 | 29 | 2.96 |
| Fevrier Valdez | 2 | 952 | 57.96 |
| Oscar Castillo | 3 | 5289 | 452.83 |