Name
Abstract | ||
|---|---|---|
In recent years the problem of adaptation in time-varying landscapes has been intensively studied by many groups of researches. The number of publications successively grows. This domain of research is important for many technical branches, e.g. the optimal control, the learning process of neural networks, the fault detection in dynamic systems. In this work some taxonomy of non-stationary environments as well as behavior of a simple evolutionary process in such landscapes are presented and illustrated. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11752578_53 | PPAM |
Keywords | Field | DocType |
technical branch,non-stationary environment,evolutionary adaptation,neural network,simple evolutionary process,optimal control,time-varying landscape,recent year,case study,fault detection,dynamic system | Information system,Adaptation,Optimal control,Evolutionary algorithm,Parallel algorithm,Fault detection and isolation,Computer science,Theoretical computer science,Artificial intelligence,Process control,Artificial neural network | Conference |
Volume | ISSN | ISBN |
3911 | 0302-9743 | 3-540-34141-2 |
Citations | PageRank | References |
1 | 0.40 | 5 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrzej Obuchowicz | 1 | 76 | 10.10 |
| Dariusz Wawrzyniak | 2 | 41 | 9.29 |