Analyzing the computing time to solve single row facility layout problems by simulated annealing in a Python framework
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Author (Corporation)
Publication date
2023
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Collections
Type
04B - Conference paper
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Parent work
Proceedings of the 2023 7th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence
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DOI of the original publication
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Series number
Volume
Issue / Number
Pages / Duration
66-72
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Publisher / Publishing institution
ACM
Place of publication / Event location
New York
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Abstract
The goal of this paper is to assess the Python computing time to solve a single row facility layout problem (SRFLP) by Simulated Annealing. The optimization problem is introduced, systematically modelled and then optimized numerically using a particular Python framework. The computing time and the results of experiments with various problem sizes and parameters are analyzed and discussed.
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Event
2023 7th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence
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Conference start date
23.04.2023
Conference end date
24.04.2023
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ISBN
978-1-4503-9992-0
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Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
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Peer review of the complete publication
Open access category
Hybrid
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Citation
Miccoli, A., Hanne, T., & Dornberger, R. (2023). Analyzing the computing time to solve single row facility layout problems by simulated annealing in a Python framework. Proceedings of the 2023 7th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence, 66–72. https://doi.org/10.1145/3596947.3596953