Degree-Based Logical Adjacency Checking (DBLAC): A Novel Heuristic for Vertex Coloring

Fuente: arXiv
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Main Author: Verma, Prashant
Format: Preprint
Published: 2025
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author Verma, Prashant
author_facet Verma, Prashant
contents Degree Based Logical Adjacency Checking (DBLAC). An efficient coloring of graphs with unique logical AND operations. The logical AND operation shows more effective color assignment and fewer number of induced colors in the case of common edges between vertices. In this work, we provide a detailed theoretical analysis of DBLAC's time and space complexity. It furthermore shows its effectiveness through prolonged experiments on standard benchmark graphs. We compare it with existing algorithms, namely DSATUR and Recursive Largest First (RLF). Second, we show how DBLAC achieves competitive results with respect to both the number of colors used and runtime performance.
format Preprint
id arxiv_https___arxiv_org_abs_2501_12479
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Degree-Based Logical Adjacency Checking (DBLAC): A Novel Heuristic for Vertex Coloring
Verma, Prashant
Discrete Mathematics
Artificial Intelligence
Degree Based Logical Adjacency Checking (DBLAC). An efficient coloring of graphs with unique logical AND operations. The logical AND operation shows more effective color assignment and fewer number of induced colors in the case of common edges between vertices. In this work, we provide a detailed theoretical analysis of DBLAC's time and space complexity. It furthermore shows its effectiveness through prolonged experiments on standard benchmark graphs. We compare it with existing algorithms, namely DSATUR and Recursive Largest First (RLF). Second, we show how DBLAC achieves competitive results with respect to both the number of colors used and runtime performance.
title Degree-Based Logical Adjacency Checking (DBLAC): A Novel Heuristic for Vertex Coloring
topic Discrete Mathematics
Artificial Intelligence
url https://arxiv.org/abs/2501.12479