Plant Layout Optimization Using Evolutionary Algorithms

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21450%2F19%3A00337280" target="_blank" >RIV/68407700:21450/19:00337280 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21730/19:00337280
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-030-27878-6_14" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-27878-6_14</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-27878-6_14" target="_blank" >10.1007/978-3-030-27878-6_14</a>

Result language
angličtina
Original language name
Plant Layout Optimization Using Evolutionary Algorithms
Original language description
Facility layout problems, i.e., optimal placement of production units in a plant, become an inseparable part of manufacturing systems design and management. They are known to greatly impact the system performance. This paper proposes a new formulation of the facility layout problem where workstations are to be placed into a hall. Within the hall, obstacles and communications can be defined. Each workstation can have multiple handling spaces attached to its sides and oriented links can be defined between workstations. A new evolutionary-based approach to solve this facility layout problem is proposed in single-objective as well as multi-objective variant. The method is experimentally evaluated on a set of standard VLSI floorplanning benchmarks as well as on the data set created specifically for the proposed facility layout problem. Results show the method is both competitive to the state-of-the-art floorplanners on the VLSI benchmarks and produces high-quality solutions to the proposed facility layout problem.
Czech name
—
Czech description
—

Project
<a href="/en/project/EF16_026%2F0008432" target="_blank" >EF16_026/0008432: Cluster 4.0 - Methodology of System Integration</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Industrial Applications of Holonic and Multi-Agent Systems
ISBN
978-3-030-27877-9
ISSN
0302-9743
e-ISSN
—
Number of pages
16
Pages from-to
173-188
Publisher name
Springer
Place of publication
Wien
Event location
Linz
Event date
Aug 26, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000611680100014

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