Abstract
With the continuous advancement of industry 4.0, also in the area of production and logistics optimization, a more holistic consideration of problems is required. Therefore, in contrary to the traditional sequential optimization approach in the area of operations research, in this paper, an integrated solution approach called optimization networks (ON) is presented. In an ON, multiple problem models get connected and optimized by an evolutionary solution algorithm. By having several optimization runs, in which the results of the preceding optimizations are considered, opportunity costs which could arise out of a traditional sequential optimization approach, are avoided.
| Originalsprache | Englisch |
|---|---|
| Titel | GECCO '17: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Berlin, Germany, Deutschland, 2017 |
| Seitenumfang | 4 |
| Publikationsstatus | Veröffentlicht - 2017 |
Wissenschaftszweige
- 102 Informatik
- 102001 Artificial Intelligence
- 102011 Formale Sprachen
- 102022 Softwareentwicklung
- 102031 Theoretische Informatik
- 603109 Logik
- 202006 Computer Hardware
JKU-Schwerpunkte
- Computation in Informatics and Mathematics
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