Abstract
Summary Runtime analysis for simple univariate EDAs Identified similarities to and differences from simple EAs Genetic drift a major obstacle Sensitive to parameters (phase transitions) Robust to noise Significance-based EDAs as novel theory-driven approach Future work Combinatorial problems Multivariate EDAs Classification of problems w. r. t. appropriateness for EAs/EDAs.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 2019 Genetic and Evolutionary Computation Conference |
| Publisher | Association for Computing Machinery |
| Publication date | 2019 |
| Pages | 1197-1225 |
| ISBN (Print) | 9781450367486 |
| DOIs | |
| Publication status | Published - 2019 |
| Event | 2019 Genetic and Evolutionary Computation Conference - Prague, Czech Republic Duration: 13 Jul 2019 → 17 Jul 2019 |
Conference
| Conference | 2019 Genetic and Evolutionary Computation Conference |
|---|---|
| Country/Territory | Czech Republic |
| City | Prague |
| Period | 13/07/2019 → 17/07/2019 |
| Sponsor | Association for Computing Machinery |