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Finding the Maximal Independent Sets of a Graph Including the Maximum Using a Multivariable Continuous Polynomial Objective Optimization Formulation

Authors :
Jingpeng Li
Maher Heal
Arai, Kohei
Kapoor, Supriya
Bhatia, Rahul
Source :
Advances in Intelligent Systems and Computing ISBN: 9783030522483, SAI (1)
Publication Year :
2020
Publisher :
Springer International Publishing, 2020.

Abstract

We propose a multivariable continuous polynomial optimization formulation to find arbitrary maximal independent sets of any size for any graph. A local optima of the optimization problem yields a maximal independent set, while the global optima yields a maximum independent set. The solution is two phases. The first phase is listing all the maximal cliques of the graph and the second phase is solving the optimization problem. We believe that our algorithm is efficient for sparse graphs, for which there exist fast algorithms to list their maximal cliques. Our algorithm was tested on some of the DIMACS maximum clique benchmarks and produced results efficiently. In some cases our algorithm outperforms other algorithms, such as cliquer.

Details

ISBN :
978-3-030-52248-3
978-3-030-52249-0
ISBNs :
9783030522483 and 9783030522490
Database :
OpenAIRE
Journal :
Advances in Intelligent Systems and Computing ISBN: 9783030522483, SAI (1)
Accession number :
edsair.doi.dedup.....20b5b4a45216a01ed885fab6a0f3e9c1
Full Text :
https://doi.org/10.1007/978-3-030-52249-0_9