Name
Abstract | ||
|---|---|---|
The evaluation of optimization algorithms and especially the analysis of adaptive variants is often complicated because several features are modified concurrently. For Differential Evolution these features may be adaptation of parameters, adjustment of the strategy and addition of local search or other special operators. Thus, it is difficult to analyze which of these procedures is actually responsible for changes in the performance. Therefore, in this work several adaptive algorithms are studied in-depth by monitoring performance changes for individual components of these algorithms to examine their effectiveness. The results show among others that the performance can be significantly improved by employing strategy control. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/978-3-540-87700-4_64 | PPSN |
Keywords | Field | DocType |
individual component,differential evolution,adaptive variant,optimization algorithm,special operator,strategy control,performance change,adaptive approaches,adaptive algorithm,local search | Mathematical optimization,Computer science,Differential evolution,Artificial intelligence,Operator (computer programming),Optimization algorithm,Local search (optimization),Sequential quadratic programming,Machine learning | Conference |
Volume | ISSN | Citations |
5199 | 0302-9743 | 12 |
PageRank | References | Authors |
0.79 | 14 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Karin Zielinski | 1 | 174 | 10.37 |
| Xinwei Wang | 2 | 20 | 2.65 |
| Rainer Laur | 3 | 241 | 35.65 |