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Bio-Inspired Computing: Theories and Applications, International Conference on (2011)
Penang, Malaysia
Sept. 27, 2011 to Sept. 29, 2011
ISBN: 978-0-7695-4514-1
pp: 225-230
Self-assembly is a process in which simple objects autonomously combine themselves into larger objects. It is considered as a promising technique in nano-technology. Two simple graphs G1 and G2 with a clique of same size overlap and a new self-assembled graph is formed. Besides studying the properties of self assembled graphs on cliques, we answer the question: Can a given set of graphs be generated through the self-assembly of cliques? If so, how to find the generator that could generate the given set of graphs by the process of clique-self-assembly. The question of the existence of minimal generator is also discussed. The necessary and sufficient condition for a graph H to be obtained by the iterated clique-self-assembly of the graph G is also answered. We also conclude that the problem of finding the generator is decidable. We note the importance of our work with respect to several closely related clique finding problem.
clique-Self-assembly, cliques, k-trees

K. Krithivasan, S. Badarla and R. Rama, "Clique-Detection Algorithm Using Clique-Self-Assembly," Bio-Inspired Computing: Theories and Applications, International Conference on(BIC-TA), Penang, Malaysia, 2011, pp. 225-230.
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