An Implicit Enumeration Approach for Maximum Ratio Clique Relaxations

ABSTRACT This article proposes an implicit enumeration approach to solve the maximum ratio ‐plex and the maximum ratio ‐defective clique problems. The approach is inspired by the classical Bron‐Kerbosch algorithm for enumerating all maximal cliques in a graph, which is extended to enumerating structures that are hereditary on induced subgraphs. Such structures include ‐plexes and ‐defective cliques, among many others. The performance of the proposed approach is compared with that of the methods based on mixed integer linear programming (MILP), binary search, and Newton's iteration through numerical experiments on randomly generated and real‐life network instances.

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Publication Details

Journal
Networks
Published
2025-06-13
DOI
https://doi.org/10.1002/net.22288
Primary Topic
Algorithms and Data Compression
Type
article
Field-Weighted Citation Impact
0.00

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An Implicit Enumeration Approach for Maximum Ratio Clique Relaxations

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article en

Abstract

ABSTRACT This article proposes an implicit enumeration approach to solve the maximum ratio ‐plex and the maximum ratio ‐defective clique problems. The approach is inspired by the classical Bron‐Kerbosch algorithm for enumerating all maximal cliques in a graph, which is extended to enumerating structures that are hereditary on induced subgraphs. Such structures include ‐plexes and ‐defective cliques, among many others. The performance of the proposed approach is compared with that of the methods based on mixed integer linear programming (MILP), binary search, and Newton's iteration through numerical experiments on randomly generated and real‐life network instances.

NetworksVol. 86(3)
Zurich University of Applied Sciences in Business Administration (CH), University of Zurich (CH), KTH Royal Institute of Technology (SE), Texas A&M University (US)
Air Force Office of Scientific Research
Openalex Percentile: Top 93%
Algorithms and Data Compression
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