Solutions to parallel and distributed computing problems: lessons from biological sciences
Solving problems in parallel and distributed computing through the use of bio-inspired techniques. Recent years have seen a surge of interest in computational methods patterned after natural phenomena, with biologically inspired techniques such as fuzzy logic, neural networks, simulated annealing, g...
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Weitere beteiligte Personen: | , , |
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Format: | Elektronisch E-Book |
Sprache: | Englisch |
Veröffentlicht: |
New York
John Wiley
2001
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Schlagwörter: | |
Links: | https://learning.oreilly.com/library/view/-/9780471353522/?ar |
Zusammenfassung: | Solving problems in parallel and distributed computing through the use of bio-inspired techniques. Recent years have seen a surge of interest in computational methods patterned after natural phenomena, with biologically inspired techniques such as fuzzy logic, neural networks, simulated annealing, genetic algorithms, or evolutionary computer models increasingly being harnessed for problem solving in parallel and distributed computing. Solutions to Parallel and Distributed Computing Problems presents a comprehensive review of the state of the art in the field, providing researchers and practitioners with critical information on the use of bio-inspired techniques for improving software and hardware design in high-performance computing. Through contributions from top leaders in the field, this important book brings together current research results, exploring some of the most intriguing and cutting-edge topics from the world of biocomputing, including: Parallel and distributed computing of cellular automata and evolutionary algorithms How the speedup of bio-inspired algorithms will help their applicability in a wide range of problems Solving problems in parallel simulation through such techniques as simulated annealing algorithms and genetic algorithms Techniques for solving scheduling and load-balancing problems in parallel and distributed computers Applying neural networks for problem solving in wireless communication systems. |
Beschreibung: | Includes bibliographical references and index. - Print version record |
Umfang: | 1 Online-Ressource (xii, 272 Seiten) illustrations |
ISBN: | 9780471353522 |
Internformat
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illustrated | Illustrated |
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spelling | Solutions to parallel and distributed computing problems lessons from biological sciences edited by Albert Y. Zomaya, Fikret Ercal, Stephan Olariu New York John Wiley 2001 1 Online-Ressource (xii, 272 Seiten) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Print version record Solving problems in parallel and distributed computing through the use of bio-inspired techniques. Recent years have seen a surge of interest in computational methods patterned after natural phenomena, with biologically inspired techniques such as fuzzy logic, neural networks, simulated annealing, genetic algorithms, or evolutionary computer models increasingly being harnessed for problem solving in parallel and distributed computing. Solutions to Parallel and Distributed Computing Problems presents a comprehensive review of the state of the art in the field, providing researchers and practitioners with critical information on the use of bio-inspired techniques for improving software and hardware design in high-performance computing. Through contributions from top leaders in the field, this important book brings together current research results, exploring some of the most intriguing and cutting-edge topics from the world of biocomputing, including: Parallel and distributed computing of cellular automata and evolutionary algorithms How the speedup of bio-inspired algorithms will help their applicability in a wide range of problems Solving problems in parallel simulation through such techniques as simulated annealing algorithms and genetic algorithms Techniques for solving scheduling and load-balancing problems in parallel and distributed computers Applying neural networks for problem solving in wireless communication systems. Parallel processing (Electronic computers) Electronic data processing Distributed processing Parallélisme (Informatique) Traitement réparti Electronic data processing ; Distributed processing Aufsatzsammlung Parallelverarbeitung Verteiltes System Soft Computing Zomaya, Albert Y. MitwirkendeR ctb Erçal, Fikret MitwirkendeR ctb Olariu, Stephan MitwirkendeR ctb |
spellingShingle | Solutions to parallel and distributed computing problems lessons from biological sciences Parallel processing (Electronic computers) Electronic data processing Distributed processing Parallélisme (Informatique) Traitement réparti Electronic data processing ; Distributed processing Aufsatzsammlung Parallelverarbeitung Verteiltes System Soft Computing |
title | Solutions to parallel and distributed computing problems lessons from biological sciences |
title_auth | Solutions to parallel and distributed computing problems lessons from biological sciences |
title_exact_search | Solutions to parallel and distributed computing problems lessons from biological sciences |
title_full | Solutions to parallel and distributed computing problems lessons from biological sciences edited by Albert Y. Zomaya, Fikret Ercal, Stephan Olariu |
title_fullStr | Solutions to parallel and distributed computing problems lessons from biological sciences edited by Albert Y. Zomaya, Fikret Ercal, Stephan Olariu |
title_full_unstemmed | Solutions to parallel and distributed computing problems lessons from biological sciences edited by Albert Y. Zomaya, Fikret Ercal, Stephan Olariu |
title_short | Solutions to parallel and distributed computing problems |
title_sort | solutions to parallel and distributed computing problems lessons from biological sciences |
title_sub | lessons from biological sciences |
topic | Parallel processing (Electronic computers) Electronic data processing Distributed processing Parallélisme (Informatique) Traitement réparti Electronic data processing ; Distributed processing Aufsatzsammlung Parallelverarbeitung Verteiltes System Soft Computing |
topic_facet | Parallel processing (Electronic computers) Electronic data processing Distributed processing Parallélisme (Informatique) Traitement réparti Electronic data processing ; Distributed processing Aufsatzsammlung Parallelverarbeitung Verteiltes System Soft Computing |
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