Abstract
Most of the physical and mathematical problems can be formulated in terms of Graph Theory [1]. Generation of a single spanning tree for a simple, symmetric and connected graph G is well known polynomial time solvable problem [1]. Also there are some intractable problems like Graph Coloring, Vertex Connectivity, Isomorphism etc. in graph theory [2,3]. To solve these problems we need some Soft computing approaches like GA, SA, Fuzzy Set, Rough Set etc. [4,6].
- {1} Combinatorial Algorithms: Theory and Practice, Reingold, Nievergelt and Deo, PHI, 1977. Google ScholarDigital Library
- {2} Computer and Intractability - A guide to the Theory of NP Completeness, Garry and Johnson, W.H. Freeman and Company, 1999.Google Scholar
- {3} Computer Architecture and Organization, Hayes J. P., McGraw Hill, 2nd Edition.Google Scholar
- {4} Data mining: Multimedia, Soft Computing and Bio-informatics, Susmita Mitra and Tinku Acharjye, John Willey.Google Scholar
- {5} Fundamental of Computer Algorithms, Horowitz, Sahani and Rajasekharan, Galgotia Publication Pvt. Ltd., 2000.Google Scholar
- {6} Modern Heuristic Technique for Combinatorial Problems, Reeves C.R., John Wiley & Sons, Inc., 1993.Google Scholar
Index Terms
- Generation of a random simple graph and its graphical presentation
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