Genetic Algorithm Approach to Some Graph Theoretic Problems: In Crisp and Fuzzy Environments - Tapa blanda
Sinopsis
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.
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Reseña del editor
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.
Biografía del autor
Dr. Sk. Md. Abu Nayeem has obtained his Ph.D. degree in Applied Mathematics from Vidyasagar University, Midnapore - 721 102, India in 2007. He is currently working as an Assistant Professor in the Department of Mathematics at Aliah University, Kolkata, India. His research interest includes Graph Theory, Algorithms, Fuzzy Sets etc.
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Genetic Algorithm Approach to Some Graph Theoretic Problems
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LAP LAMBERT Academic Publishing Apr 2012, 2012
ISBN 10: 3848497247
ISBN 13: 9783848497249
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 200 pp. Englisch. Nº de ref. del artículo: 9783848497249
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Genetic Algorithm Approach to Some Graph Theoretic Problems
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LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848497247
ISBN 13: 9783848497249
Nuevo
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Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Nayeem Sk. Md. AbuDr. Sk. Md. Abu Nayeem has obtained his Ph.D. degree in Applied Mathematics from Vidyasagar University, Midnapore - 721 102, India in 2007. He is currently working as an Assistant Professor in the Department of Math. Nº de ref. del artículo: 5527146
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Genetic Algorithm Approach to Some Graph Theoretic Problems
Publicado por
LAP LAMBERT Academic Publishing Apr 2012, 2012
ISBN 10: 3848497247
ISBN 13: 9783848497249
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 200 pp. Englisch. Nº de ref. del artículo: 9783848497249
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Genetic Algorithm Approach to Some Graph Theoretic Problems : In Crisp and Fuzzy Environments
Publicado por
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848497247
ISBN 13: 9783848497249
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9783848497249
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Genetic Algorithm Approach to Some Graph Theoretic Problems: In Crisp and Fuzzy Environments
Publicado por
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848497247
ISBN 13: 9783848497249
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