NP-Completeness of Neighborhood Balanced Colorings
Saeed Asaeedi

TL;DR
This paper proves that deciding the existence of a Neighborhood Balanced Coloring in a graph is NP-complete and introduces a genetic algorithm to approximate solutions.
Contribution
It establishes NP-completeness for NBC and proposes a genetic algorithm as a heuristic approach.
Findings
NP-completeness of NBC established
Genetic algorithm performs competitively
Comparison with exact and randomized algorithms
Abstract
A Neighborhood Balanced Coloring (NBC) of a graph is a red-blue coloring where each vertex has the same number of red and blue neighbors. This work proves that determining if a graph admits an NBC is NP-complete. We present a genetic algorithm to solve this problem, which we implemented and compared against exact and randomized algorithms.
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Taxonomy
TopicsScheduling and Timetabling Solutions
