TY - GEN
T1 - Optimization networks for real-world production and logistics problems
AU - Hauder, Viktoria
AU - Beham, Andreas
AU - Wagner, Stefan
AU - Affenzeller, Michael
N1 - Publisher Copyright:
© 2017 ACM.
PY - 2017/7/15
Y1 - 2017/7/15
N2 - 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.
AB - 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.
KW - Evolutionary algorithms
KW - Opportunity costs
KW - Optimization networks
KW - Production and logistics problem models
KW - Synergy effects
UR - http://www.scopus.com/inward/record.url?scp=85026856189&partnerID=8YFLogxK
U2 - 10.1145/3067695.3092959
DO - 10.1145/3067695.3092959
M3 - Conference contribution
SN - 978-1-4503-4939-0
T3 - GECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference Companion
SP - 1411
EP - 1414
BT - GECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference Companion
PB - Association for Computing Machinery, Inc
T2 - 2017 Genetic and Evolutionary Computation Conference Companion, GECCO 2017
Y2 - 15 July 2017 through 19 July 2017
ER -