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Genetic Algorithm Approach to Some Graph Theoretic Problems: in Crisp and Fuzzy Environments
Sk. Md. Abu Nayeem
Genetic Algorithm Approach to Some Graph Theoretic Problems: in Crisp and Fuzzy Environments
Sk. Md. Abu Nayeem
Graph theory is a well explored, but still expanding area of mathematics and computer science. Efficient algorithms for graph theoretic problems are of immense practical importance. There are numerous problems in graph theory that are NP-complete, i.e., no efficient algorithms can solve them in polynomial times. Genetic algorithms (GAs) are heuristic search and optimization technique where the search methods mimic some natural phenomena: genetic inheritance and survival of the fittest. In this work, GAs are applied successfully on some well-known NP-complete graph theoretic problems. Some other problems in fuzzy environments are also considered here.
Media | Books Paperback Book (Book with soft cover and glued back) |
Released | April 23, 2012 |
ISBN13 | 9783848497249 |
Publishers | LAP LAMBERT Academic Publishing |
Pages | 200 |
Dimensions | 150 × 12 × 226 mm · 299 g |
Language | English |
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