Name
Abstract | ||
|---|---|---|
This paper describes the application of a Gaussian Estimation-of-Distribution (EDA) for real-valued optimization to the noisy part of a benchmark introduced in 2009 called BBOB (Black-Box Optimization Benchmarking). Specifically, the EDA considered here is the recently introduced parameter-free version of the Adapted Maximum-Likelihood Gaussian Model Iterated Density-Estimation Evolutionary Algorithm (AMaLGaM-IDEA). Also the version with incremental model building (iAMaLGaM-IDEA) is considered. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1145/1570256.1570328 | GECCO (Companion) |
Keywords | DocType | Citations |
evolutionary computation,benchmarking,black-box optimization | Conference | 2 |
PageRank | References | Authors |
0.82 | 2 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peter A. N. Bosman | 1 | 507 | 49.04 |
| Jörn Grahl | 2 | 194 | 15.68 |
| Dirk Thierens | 3 | 1120 | 117.00 |