Optimization networks for real-world production and logistics problems

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3 Citations (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.

Original languageEnglish
Title of host publicationGECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference Companion
PublisherAssociation for Computing Machinery, Inc
Pages1411-1414
Number of pages4
ISBN (Electronic)9781450349390
ISBN (Print)978-1-4503-4939-0
DOIs
Publication statusPublished - 15 Jul 2017
Event2017 Genetic and Evolutionary Computation Conference Companion, GECCO 2017 - Berlin, Germany
Duration: 15 Jul 201719 Jul 2017

Publication series

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

Conference

Conference2017 Genetic and Evolutionary Computation Conference Companion, GECCO 2017
CountryGermany
CityBerlin
Period15.07.201719.07.2017

Keywords

  • Evolutionary algorithms
  • Opportunity costs
  • Optimization networks
  • Production and logistics problem models
  • Synergy effects

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