Name
Abstract | ||
|---|---|---|
This paper presents the results of the "Distance Based Parameter Adaptation for Success-History Based Differential Evolution Algorithm" (DISH) on the CEC 2019 100-Digit Challenge. The algorithm has shown satisfying performance when solving 8 out of 10 benchmark functions with a perfect score of 10. This success is further supported by the fact that allowed parameter tuning was used only for three of the test functions and just for one parameter. Thus, the DISH algorithm can be labeled as robust. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/CEC.2019.8789936 | 2019 IEEE Congress on Evolutionary Computation (CEC) |
Keywords | Field | DocType |
Differential Evolution,SHADE,DISH,100-Digit Challenge,Distance Based Parameter Adaptation | Computer science,Numerical digit,Algorithm,Evolutionary computation,Differential evolution,Linear programming,Differential evolution algorithm,Benchmark (computing) | Conference |
ISBN | Citations | PageRank |
978-1-7281-2154-3 | 0 | 0.34 |
References | Authors | |
4 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Adam Viktorin | 1 | 5 | 8.23 |
| Roman Senkerik | 2 | 375 | 74.92 |
| Michal Pluhacek | 3 | 217 | 47.34 |
| Tomas Kadavy | 4 | 20 | 20.97 |
| Ales Zamuda | 5 | 400 | 18.26 |