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Ring star problem

The ring star problem (RSP) is a NP-hard problem in combinatorial optimization.

Version
v1 · 2026-09-28 · History
Domain-specific #
11817
Domain group
Formal Sciences
Origin domain
Operations Research
Subdomains
Combinatorial Optimization, Network Design → Operations Research

Core Idea

Ring star problem is treated here as the recurring computing and information systems identity summarized by this source-grounded definition: The ring star problem (RSP) is a NP-hard problem in combinatorial optimization.

The ring star problem (RSP) is a NP-hard problem in combinatorial optimization. In a complete weighted mixed graph, the ring star problem aims to find a minimum cost ring star subgraph formed by a cycle (ring part) and a set of arcs (star part) such that each arc's child node belongs to the cycle and each arc's parent node does not. The costs for the arcs are usually different from the cycle's costs.

The cycle must contain at least one node designated as the depot or the root. RSP is a generalization of the traveling salesman problem. When the costs of the arcs are infinite and the ring contains all nodes, the RSP reduces to TSP.

For Ring star problem, the abstraction is narrower than the article's general subject matter: a positive case must preserve The ring star problem (RSP) is a NP-hard problem in combinatorial optimization. Retaining only the name, a familiar example, or a downstream effect is insufficient. The specialist roles and tests remain anchored in computing and information systems, which is why this identity is domain-specific rather than prime.

Structural Signature

Sig role-phrases:

  • Defining carrier — In a complete weighted mixed graph, the ring star problem aims to find a minimum cost ring star subgraph formed by a cycle (ring part) and a set of arcs (star part) such that each arc's child node belongs to the cycle and each arc's parent node does not.
  • Constitutive relation — The first MILP for solving RSP was introduced in 2004 alongside valid inequalities that improve the formulation.
  • Operating condition — Several exact formulations have since been introduced in order to solve the Ring star problem such as a graph-layers based ILP and a st-chains formulation.
  • Recognition evidence — Many variants of the ring star problem have been studied since 2006.
  • Admissible variation — The first heuristic for RSP, a general variable neighborhood search has been introduced in order to obtain approximate solutions more quickly.
  • Characteristic consequence — In 2020, an ant colony optimization heuristic outperforms the evolutionary algorithm heuristic.
  • Failure boundary — In 2013, an evolutionary algorithm also approximates RSP.

What It Is Not

  • Not the whole field of computing and information systems. The node requires the specific identity stated by The ring star problem (RSP) is a NP-hard problem in combinatorial optimization.
  • Not an over-broad reading. The costs for the arcs are usually different from the cycle's costs.
  • Not an over-broad reading. The first MILP for solving RSP was introduced in 2004 alongside valid inequalities that improve the formulation.
  • Not an over-broad reading. Several exact formulations have since been introduced in order to solve the Ring star problem such as a graph-layers based ILP and a st-chains formulation.
  • Not automatically Network Simplex Algorithm. Retrieval proximity does not establish equivalence; the two identities must be compared by carrier, operation, and failure boundary.

Scope of Application

Ring star problem applies literally inside computing and information systems wherever the source-defined carrier and relation can be established. Its documented habitats include:

  • Documented setting. Some applications of RSP arise in the context of telecommunications, transports or logistics.
  • Exact formulations. The first MILP for solving RSP was introduced in 2004 alongside valid inequalities that improve the formulation.
  • Exact formulations. Several exact formulations have since been introduced in order to solve the Ring star problem such as a graph-layers based ILP and a st-chains formulation.
  • Variants of the ring star problem. Many variants of the ring star problem have been studied since 2006.
  • Heuristics. The first heuristic for RSP, a general variable neighborhood search has been introduced in order to obtain approximate solutions more quickly.
  • Heuristics. In 2020, an ant colony optimization heuristic outperforms the evolutionary algorithm heuristic.

Outside computing and information systems, the name should be retained only when these same operational conditions survive; otherwise the comparison belongs to the broader parent Pattern or should be marked as analogy.

Clarity

A clear use of Ring star problem names the carrier, the operative relation, and the conditions under which the source treats the identity as present. The minimal definition is The ring star problem (RSP) is a NP-hard problem in combinatorial optimization. The strongest recognition evidence in the frozen account is: Many variants of the ring star problem have been studied since 2006. A report should distinguish that evidence from a proxy, consequence, or common implementation. It should also state the qualification The costs for the arcs are usually different from the cycle's costs. so that a reader can reproduce the classification rather than infer it from topical resemblance.

Manages Complexity

Ring star problem compresses multiple computing and information systems details into a stable diagnostic relation. The source shows both the central mechanism—the first MILP for solving RSP was introduced in 2004 alongside valid inequalities that improve the formulation.—and the practical consequence—in 2020, an ant colony optimization heuristic outperforms the evolutionary algorithm heuristic. This compression makes cases comparable while leaving parameters, conventions, exceptions, and evidential quality explicit. It is lossy by design: local history and implementation details may be omitted only when they do not alter the defining relation.

Abstract Reasoning

  1. Type the carrier. Identify the computing and information systems entities to which the claim applies.
  2. State the relation. Use the source-grounded identity: The ring star problem (RSP) is a NP-hard problem in combinatorial optimization.
  3. Check operation and conditions. Several exact formulations have since been introduced in order to solve the Ring star problem such as a graph-layers based ILP and a st-chains formulation.
  4. Demand recognition evidence. Many variants of the ring star problem have been studied since 2006.
  5. Test variation. Change an implementation or setting while preserving the first heuristic for RSP, a general variable neighborhood search has been introduced in order to obtain approximate solutions more quickly.
  6. Run the collapse test. Remove the defining operation; if the label still seems equally apt, only a topic or correlate was retained.
  7. Reduce cautiously. When the specialist conditions cannot be carried, route the residual comparison to Pattern.

Knowledge Transfer

Within the home domain. Knowledge about Ring star problem transfers literally when a new case preserves the same carrier type, relation, and recognition test. Some applications of RSP arise in the context of telecommunications, transports or logistics. The first MILP for solving RSP was introduced in 2004 alongside valid inequalities that improve the formulation.

Beyond the home domain. No canonical parent is asserted for Ring star problem. An outside case receives the specialist name only when the same typed roles and rejection conditions can be filled literally; otherwise the comparison remains an analogy pending later graph densification.

Examples

Canonical

Several exact formulations have since been introduced in order to solve the Ring star problem such as a graph-layers based ILP and a st-chains formulation. This case is canonical because it supplies a concrete carrier and lets the defining relation be checked rather than merely named.

Mapped back: carrier → the entities in the documented case; operation → The ring star problem (RSP) is a NP-hard problem in combinatorial optimization; recognition evidence → Many variants of the ring star problem have been studied since 2006

Applied / In Practice

The first MILP for solving RSP was introduced in 2004 alongside valid inequalities that improve the formulation. The applied case shows how the identity is used under a second setting or qualification while keeping the same operative relation.

Mapped back: changed setting → Exact formulations; invariant → The ring star problem (RSP) is a NP-hard problem in combinatorial optimization; boundary → the case exits the class when the costs for the arcs are usually different from the cycle's costs

Structural Tensions

T1 — Stable identity versus admissible variation. The costs for the arcs are usually different from the cycle's costs. The tension matters because emphasizing only one side either dissolves the identity or overstates what the evidence and domain conventions warrant.

Diagnostic: Which changes preserve the defining relation, and which replace it?

T2 — Recognition versus proxy. The first MILP for solving RSP was introduced in 2004 alongside valid inequalities that improve the formulation. The tension matters because emphasizing only one side either dissolves the identity or overstates what the evidence and domain conventions warrant.

Diagnostic: Does the cited evidence establish the identity or only a correlated sign?

T3 — Definition versus implementation. Several exact formulations have since been introduced in order to solve the Ring star problem such as a graph-layers based ILP and a st-chains formulation. The tension matters because emphasizing only one side either dissolves the identity or overstates what the evidence and domain conventions warrant.

Diagnostic: Is the observed implementation constitutive, optional, or merely common?

T4 — Scope versus overextension. Many variants of the ring star problem have been studied since 2006. The tension matters because emphasizing only one side either dissolves the identity or overstates what the evidence and domain conventions warrant.

Diagnostic: Can every claimed application fill the same typed roles without metaphor?

T5 — Transfer versus domain accent. In a complete weighted mixed graph, the ring star problem aims to find a minimum cost ring star subgraph formed by a cycle (ring part) and a set of arcs (star part) such that each arc's child node belongs to the cycle and each arc's parent node does not. The tension matters because emphasizing only one side either dissolves the identity or overstates what the evidence and domain conventions warrant.

Diagnostic: Does the receiving case instantiate Ring star problem literally, co-instantiate Pattern, or only resemble it?

T6 — Autonomy versus reduction. The first MILP for solving RSP was introduced in 2004 alongside valid inequalities that improve the formulation. The tension matters because emphasizing only one side either dissolves the identity or overstates what the evidence and domain conventions warrant.

Diagnostic: What does Ring star problem distinguish that the broader parent Pattern leaves together?

Structural–Framed Character

Ring star problem is mixed or framed-leaning. Its structural side is the repeatable organization summarized by The ring star problem (RSP) is a NP-hard problem in combinatorial optimization. Its framed side is the computing and information systems vocabulary that fixes the carrier, evidence, exceptions, and admissible transformations.

Evaluative weight: the identity can be stated descriptively even when applications carry practical stakes. Human-practice dependence: the source-grounded carrier determines whether the relation exists independently or is constituted by a practice. Institutional origin: disciplinary conventions stabilize the name and test. Vocabulary portability: Several exact formulations have since been introduced in order to solve the Ring star problem such as a graph-layers based ILP and a st-chains formulation. Import versus recognition: literal transfer requires the same mechanism; shape alone is analogy.

Its portable skeleton is Pattern. Its character: a recurring specialist identity whose thin organization can be abstracted, while its operational meaning remains domain-bound.

Structural Core vs. Domain Accent

What is skeletal. The ring star problem (RSP) is a NP-hard problem in combinatorial optimization. The stable skeleton is the typed relation expressed in that definition and the entry's recognition and collapse tests. The source identifies these operative conditions: In a complete weighted mixed graph, the ring star problem aims to find a minimum cost ring star subgraph formed by a cycle (ring part) and a set of arcs (star part) such that each arc's child node belongs to the cycle and each arc's parent node does not. The first MILP for solving RSP was introduced in 2004 alongside valid inequalities that improve the formulation. It further constrains recognition and variation through: Several exact formulations have since been introduced in order to solve the Ring star problem such as a graph-layers based ILP and a st-chains formulation. Many variants of the ring star problem have been studied since 2006.

What is domain-bound. computing and information systems supplies the operative entities, technical vocabulary, warrants, and exceptions that make Ring star problem literal. Its documented scope includes the condition that Some applications of RSP arise in the context of telecommunications, transports or logistics. Another bounded application condition is that The first MILP for solving RSP was introduced in 2004 alongside valid inequalities that improve the formulation. These are not decorative examples; they determine which carrier and evidence can fill the abstraction's roles.

Why no parent is asserted. Removing those specialist details does not currently yield one live catalog node that is a necessary genus for every instance. The entry is therefore approved as unparented rather than attached by topical resemblance. Its collapse evidence remains specific—The first heuristic for RSP, a general variable neighborhood search has been introduced in order to obtain approximate solutions more quickly.—and future graph densification may discover a defensible relation only if it preserves that boundary.

This entry is a kind of Computational problem.

  • Approved unparented node. No current live node supplies a defensible necessary genus or structural prerequisite for Ring star problem. The reviewed identity is: The ring star problem (RSP) is a NP-hard problem in combinatorial optimization. The accelerated suggestion was declined because topical or lexical similarity does not establish hierarchy; the node is admitted without a parent pending later graph densification.
  • Related reasoning operations. Evidence, representation, comparison, classification, transformation, or evaluation may participate in particular cases, but participation does not make any one of them a necessary parent of every instance.

Relationships to Other Abstractions

Local relationship map for Ring star problemParents appear above the current abstraction, mutual partners to the right, and children below. Node labels state whether each abstraction is prime or domain-specific; colors identify relation types.Ring star problemDOMAINDomain-specific abstraction: Computational problem — is a kind ofComputationalproblemDOMAIN

Current abstraction Ring star problem Domain-specific

Parents (1) — more general patterns this builds on

  • Ring star problem is a kind of Computational problem Domain-specific

    The ring-star problem specifies combinatorial network instances, feasible ring-star designs, and an optimization objective.

Hierarchy path (1) — routes to 1 parentless root

Neighborhood in Abstraction Space

Ring star problem sits in a sparse region of the domain-specific corpus (80th percentile for distinctiveness): few abstractions share its structure, so a faithful description tends to retrieve it precisely.

Family — Combinatorial Optimization & Discrete Structures (31 abstractions)

Nearest neighbors

Computed from structural-signature embeddings · 2026-10-08

Not to Be Confused With

  • Pattern. The parent omits the specialist differentia. Tell: Can the case establish The ring star problem (RSP) is a NP-hard problem in combinatorial optimization?
  • Network Simplex Algorithm. Solve a minimum-cost flow by maintaining a spanning-tree basis, pricing bound-fixed arcs with node-potential reduced costs, augmenting around an entering arc's fundamental cycle, and exchanging the limiting arc until dual signs certify optimality. Tell: Which entry's carrier, operation, and failure condition are satisfied?
  • Smallest-Circle Problem. The smallest-circle problem asks for the unique minimum-radius Euclidean disk containing a finite set of planar points, equivalently minimizing the maximum point-to-center distance in the two-dimensional Euclidean 1-center case. Tell: Which entry's carrier, operation, and failure condition are satisfied?
  • Branch and Bound. Systematic search with pruning. Tell: Which entry's carrier, operation, and failure condition are satisfied?
  • A measurement, proxy, or consequence. Those may provide evidence without being the identity. Tell: Would Ring star problem remain present if the detector or downstream effect changed?
  • A metaphorical analogue. A similar shape outside computing and information systems lacks the specialist mechanism. Tell: Do the native roles transfer literally, or only the parent Pattern?

References

  • Frozen Wikipedia discovery revision: https://en.wikipedia.org/wiki/Ring_star_problem (revision 1369802225).
  • Preserved source candidate: https://www.jstor.org/stable/2634881
  • Preserved source candidate: https://www.tandfonline.com/doi/abs/10.1080/02331930903500332
  • Preserved source candidate: https://pubsonline.informs.org/doi/abs/10.1287/opre.1070.0432
  • Preserved source candidate: https://www.sciencedirect.com/science/article/abs/pii/S0377221710004698
  • Preserved source candidate: https://doi.org/10.1016/j.ejor.2009.07.026
  • Preserved source candidate: https://doi.org/10.1007/s10898-016-0431-7
  • Preserved source candidate: https://www.cambridge.org/core/journals/rairo-operations-research/article/abs/branchandcut-for-the-nondisjoint-mringstar-problem/43950C52DB04C78D3C11946D1F883330
  • Preserved source candidate: https://onlinelibrary.wiley.com/doi/10.1002/net.22193?af=R

The frozen Wikipedia revision is discovery provenance. The retained source set was reviewed for identity, formal or operational relation, and scope. The encyclopedia's structural synthesis is bounded to those claims; a thin authority surface is recorded as a nonblocking source-strengthening repair rather than concealed.