A Biological Algorithm to Solve the Maximum Complete Subgraph Problem Based on Adleman-Lipton Model
The maximum complete subgraph problem is to find a biggest vertex independent set in a given undirected graph. It is a vitally important NP problem in graph theory and applied mathematics. In this paper, we present a new DNA algorithm to solve the problem with DNA molecular operations
using O(n
2) time complexity. We extend the application of DNA molecular operations and simultaneity simplify the complexity of the computation.
Keywords: ADLEMAN-LIPTON MODEL; DNA COMPUTATION; NP-COMPLETE PROBLEM; THE MAXIMUM COMPLETE SUBGRAPH PROBLEM
Document Type: Research Article
Publication date: 01 November 2014
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