Name
Abstract | ||
|---|---|---|
This paper describes the use of a multi-objective evolution strategy in tuning a fuzzy controller which is used in sewage treatment plants. The controller adjusts the oxygenation in the aeration tank to support biological processes, which reduce nutrients. Globally optimal settings are unknown and up to now the settings are made by a specialist equipped with a large amount of background knowledge. We successfully approximated the pareto-optimal set of solutions considering given constraints and three objectives using a wastewater simulation software. Evolution was able to find the settings proposed by a human expert as well as an interesting parameter niche, the so called simultaneous intermittent denitrification, which promises energy savings. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1145/1389095.1389199 | GECCO |
Keywords | Field | DocType |
biological process,multiobjective evolution,aeration tank,energy saving,fuzzy controller,human expert,sewage treatment plant,large amount,multi-objective evolution strategy,optimal setting,interesting parameter niche,multi objective optimization,simulation software,evolution strategy,global optimization | Control theory,Mathematical optimization,Simulation software,Computer science,Fuzzy logic,Multi-objective optimization,Evolution strategy,Sewage treatment,Wastewater | Conference |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Patrick Stalph | 1 | 2 | 1.04 |
| Marc Ebner | 2 | 205 | 19.59 |
| Martin Michel | 3 | 0 | 0.34 |
| Bernd Pfaff | 4 | 0 | 0.34 |
| Roland Benz | 5 | 0 | 0.34 |