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In this approach, the nodes exchange their flow information periodically using high power HELLO messages to determine their remaining available bandwidth based on the maximum clique constraints.
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Nodes exchange their flow information periodically and compute their available residual bandwidth based on the local maximal clique constraints.
Briefly, the sub-pedigree sets were obtained with the clique-partitioning Jenti method [26], applying different constraints on the splitting procedure (minimum and maximum clique size, minimum relationship level among clique members, and maximum complexity of the resulting families).
For disk graphs, we consider two variations of the maximum clique problem, namely geometric clique and graphical clique.
Then we select maximum clique nodes in CG as distributed Certificate Authorities (CAs).
The maximum clique problem (MCP) is a classic graph optimization problem with many real-world applications.
Then the backbone network energy optimizing problem is transformed to the maximum clique problem (MCP).
We propose an algorithm to find all the weighted cliques as well as the weighted maximum clique in order of size using the framework of DNA computing.
This paper also improves the complexity of the maximum clique, the maximum independent set, the chromatic number and the maximum clique cover problems by giving efficient algorithms, thanks to the decomposition tree.
In this study, our focus is on the weighted maximum clique problem, a highly challenging problem in graph theory.
We present a P system with replicated rewriting to solve the Maximum Clique Problem for a graph.
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