Cancelled: Unified Software Design Patterns for Simulated Annealing Article Swipe
Rohit Goswami
,
S. Ruhila
,
Amrita Goswami
,
Sonaly Goswami
,
Debabrata Goswami
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.5772/intechopen.110675
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.5772/intechopen.110675
Any optimization algorithm programming interface can be seen as a black-box function with additional free parameters. In this spirit, simulated annealing (SA) can be implemented in pseudo-code within the dimensions of a single slide with free parameters relating to the annealing schedule. Such an implementation, however, necessarily neglects much of the structure necessary to take advantage of advances in computing resources and algorithmic breakthroughs. Simulated annealing is often introduced in myriad disciplines, from discrete examples like the Traveling Salesman Problem (TSP) to molecular cluster potential energy exploration or even explorations of a protein’s configurational space. Theoretical guarantees also demand a stricter structure in terms of statistical quantities, which cannot simply be left to the user. We will introduce several standard paradigms and demonstrate how these can be “lifted” into a unified framework using object-oriented programming in Python. We demonstrate how clean, interoperable, reproducible programming libraries can be used to access and rapidly iterate on variants of Simulated Annealing in a manner which can be extended to serve as a best practices blueprint or design pattern for a data-driven optimization library.
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- Type
- book-chapter
- Language
- en
- Landing Page
- https://doi.org/10.5772/intechopen.110675
- https://www.intechopen.com/citation-pdf-url/86824
- OA Status
- hybrid
- Cited By
- 1
- References
- 48
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4380490484
All OpenAlex metadata
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https://doi.org/10.5772/intechopen.110675Digital Object Identifier
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Cancelled: Unified Software Design Patterns for Simulated AnnealingWork title
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book-chapterOpenAlex work type
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enPrimary language
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2023Year of publication
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2023-04-06Full publication date if available
- Authors
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Rohit Goswami, S. Ruhila, Amrita Goswami, Sonaly Goswami, Debabrata GoswamiList of authors in order
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https://doi.org/10.5772/intechopen.110675Publisher landing page
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hybridOpen access status per OpenAlex
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https://www.intechopen.com/citation-pdf-url/86824Direct OA link when available
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Simulated annealing, Computer science, Python (programming language), Travelling salesman problem, Schedule, Theoretical computer science, Software, Mathematical optimization, Computer engineering, Programming language, Algorithm, Mathematics, Operating systemTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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| primary_location.raw_source_name | Simulated Annealing - A Flexible Metaheuristic That Can Be Learned by Example [Cancelled] |
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| publication_date | 2023-04-06 |
| publication_year | 2023 |
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