Probabilistic Cellular Automata Monte Carlo for the Maximum Clique Problem
We consider the problem of finding the largest clique of a graph. This is an NP-hard problem and no exact algorithm to solve it exactly in polynomial time is known to exist. Several heuristic approaches have been proposed to find approximate solutions. Markov Chain Monte Carlo is one of these. In th...
Saved in:
| Main Author: | Alessio Troiani |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-09-01
|
| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/12/18/2850 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Broadcasting in Stars of Cliques and Path-Connected Cliques
by: Akash Ambashankar, et al.
Published: (2025-02-01) -
The Clique-Width of Minimal Series-Parallel Digraphs
by: Frank Gurski, et al.
Published: (2025-05-01) -
Simulation of earthquakes with cellular automata
by: P. G. Akishin, et al.
Published: (1998-01-01) -
Estimation of System-Level Reliability Functions for the Power Grid Using Probabilistic Modeling and Monte Carlo Simulation
by: Ayman Faza
Published: (2025-01-01) -
Probabilistic early warning of flash floods using Monte Carlo simulation and hydrological modelling
by: Xuemei Wu, et al.
Published: (2025-12-01)