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Comb Inequality Separation is NP-Hard for Symmetric Traveling Salesman Problem

arXiv CS · · 2 min read · Engineering & Technology

Read research and analysis on Comb Inequality Separation is NP-Hard for Symmetric Traveling Salesman Problem published by ICANEWS, a global research journal for emerging researchers.

Key Takeaways

  • Deciding if a comb inequality is violated is NP-complete.
  • The separation problem for comb inequalities is NP-hard.
  • This holds for input vectors in the subtour elimination polytope, edge values of 0, 0.5, or 1, and nonplanar support graphs with max degree four.
  • Hardness holds when permitted teeth have two or four vertices, with half in the handle.

Why This Matters

This finding clarifies the computational complexity of a fundamental problem in polyhedral combinatorics and combinatorial optimization. It provides boundaries for strategies concerning approximation of comb violations and optimization over comb relaxations.

Overview

The complexity of exact separation for comb inequalities, which function as critical cutting planes within the symmetric Travelling Salesman Problem (TSP) context, has represented a persistent inquiry in polyhedral combinatorics. This research presents a reduction from the 3-Satisfiability (3-SAT) problem, establishing that determining whether a comb inequality is violated is NP-complete. Consequently, the associated separation problem is proven to be NP-hard.

Research Context

Comb inequalities are integral to the formulation and solution of the symmetric travelling salesman problem, particularly in the realm of polyhedral combinatorics, where they serve as cutting planes. The computational challenge of their exact separation has been a long-standing question within this field.

Approach

The methodology employed involves constructing a reduction from 3-SAT. This reduction generates a graph where specific structural elements encode Boolean relations and logical variable consistency. Key components of this graph construction include:

  • Six-vertex ladder gadgets: These are utilized to encode Boolean relations between variables.
  • Cubic graphs: These structures enforce consistency among the various occurrences of each logical variable throughout the formula.

For a propositional logic formula characterized by $v$ variables and $m$ clauses, the graph constructed through this reduction consists of $40v+70m+30$ vertices. This constructed graph also exhibits a linear number of positive edges.

Findings

The reduction from 3-SAT unequivocally demonstrates that:

  • Deciding if a comb inequality is violated is NP-complete.
  • The corresponding separation problem is NP-hard.

These findings hold under specific conditions, including scenarios where:

  • The input vector is part of the subtour elimination polytope.
  • Every edge value is restricted to zero, one half, or one.
  • The support graph is nonplanar with a maximum degree of four.

Further, the reduction also establishes hardness even when specific structural constraints are applied to the comb, specifically when every permitted tooth possesses either two or four vertices, with half of the tooth being situated within the handle structure.

Why This Matters

The established NP-hardness of separating comb inequalities has implications for approximation strategies and optimization efforts. This complexity result offers insight into the challenge of approximating the maximum comb violation and the optimization over the comb relaxation. The research also clarifies that the hardness of separation for comb inequalities does not automatically extend to larger families of inequalities.

Research Information

Institution
arXiv CS
Original Study
View Publication
Source
arXiv CS

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