Optimization networks for real-world production and logistics problems

Viktoria Hauder, Andreas Beham, Stefan Wagner, Michael Affenzeller

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitragBegutachtung

3 Zitate (Scopus)

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.

OriginalspracheEnglisch
TitelGECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference Companion
Herausgeber (Verlag)Association for Computing Machinery, Inc
Seiten1411-1414
Seitenumfang4
ISBN (elektronisch)9781450349390
ISBN (Print)978-1-4503-4939-0
DOIs
PublikationsstatusVeröffentlicht - 15 Juli 2017
Veranstaltung2017 Genetic and Evolutionary Computation Conference Companion, GECCO 2017 - Berlin, Deutschland
Dauer: 15 Juli 201719 Juli 2017

Publikationsreihe

NameGECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference Companion

Konferenz

Konferenz2017 Genetic and Evolutionary Computation Conference Companion, GECCO 2017
Land/GebietDeutschland
OrtBerlin
Zeitraum15.07.201719.07.2017

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