Parallel Towers of Hanoi via Generalized Nets: Simulated with OnlineGN

This paper introduces a variant of the classic Towers of Hanoi (TH) puzzle in which parallel moves—simultaneous transfers of multiple discs—are permitted. The problem is formalized with Generalized Nets (GN), an extension of Petri nets (PN) whose tokens and transitions encode the ordering and movement of the n discs among three rods under the usual constraints. The resulting GN model, implemented on the OnlineGN platform, provides a clear, precise, and systematic representation that highlights the role of parallelism and supports interactive experimentation. This framework enables the exploration of strategies that reduce the number of parallel steps (PS) and, more broadly, illustrates how GN-captured parallelism can shorten the sequential depth for selected problems with exponential-time solutions.

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Publication Details

Journal
Software
Published
2025-09-23
DOI
https://doi.org/10.3390/software4040023
Primary Topic
Intuitionistic Fuzzy Systems Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Parallel Towers of Hanoi via Generalized Nets: Simulated with OnlineGN

Nora Angelova, Angel Dimitriev, Krassimir Atanassov
Software
Intuitionistic Fuzzy Systems Applications
article

Parallel Towers of Hanoi via Generalized Nets: Simulated with OnlineGN

Nora Angelova, Angel Dimitriev, Krassimir Atanassov
article en

Abstract

This paper introduces a variant of the classic Towers of Hanoi (TH) puzzle in which parallel moves—simultaneous transfers of multiple discs—are permitted. The problem is formalized with Generalized Nets (GN), an extension of Petri nets (PN) whose tokens and transitions encode the ordering and movement of the n discs among three rods under the usual constraints. The resulting GN model, implemented on the OnlineGN platform, provides a clear, precise, and systematic representation that highlights the role of parallelism and supports interactive experimentation. This framework enables the exploration of strategies that reduce the number of parallel steps (PS) and, more broadly, illustrates how GN-captured parallelism can shorten the sequential depth for selected problems with exponential-time solutions.

SoftwareVol. 4(4)
Bulgarian Academy of Sciences (BG), Institute of Biophysics and Biomedical Engineering (BG), Sofia University "St. Kliment Ohridski" (BG)
Openalex Percentile: Top 86%
Intuitionistic Fuzzy Systems Applications
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