Minimum Cost and List Homomorphisms to Semicomplete Digraphs
G. Gutin, A. Rafiey, A. Yeo

TL;DR
This paper classifies the computational complexity of list homomorphism and minimum cost homomorphism problems for semicomplete digraphs, showing polynomial solvability or NP-completeness depending on the structure of H.
Contribution
It provides a dichotomy classification for both problems when H is a semicomplete digraph, extending previous results and identifying new complexity boundaries.
Findings
List homomorphism problem is polynomial if H has at most one cycle; otherwise NP-complete.
MinHOMP(H) is polynomial if H is acyclic or a 2- or 3-cycle; otherwise NP-hard.
Dichotomy results align with known classifications for related homomorphism problems.
Abstract
The following optimization problem was introduced in \cite{gutinDAM}, where it was motivated by a real-world problem in defence logistics. Suppose we are given a pair of digraphs and a positive cost for each and . The cost of a homomorphism of to is . For a fixed digraph , the minimum cost homomorphism problem for , MinHOMP(), is stated as follows: For an input digraph and costs for each and , verify whether there is a homomorphism of to and, if it exists, find such a homomorphism of minimum cost. We obtain dichotomy classifications of the computational complexity of the list homomorphism problem and MinHOMP(), when is a semicomplete digraph (a digraph in which every two vertices have at least one arc between them). Our dichotomy for the list…
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Taxonomy
TopicsAdvanced Graph Theory Research · Graph theory and applications · Limits and Structures in Graph Theory
