Solutions to Parallel and Distributed Computing Problems:...

Features

• Cover Type: Hard Cover with 288 pages
• Published by: Wiley-Interscience
• Edition: 1st Edition October 31, 2000
• Written in: English
• ISBN 10 Number: 0471353523
• ISBN 13 Number: 978-0471353522
• Book Dimensions: 9.3 x 6.1 x 0.8 inches
• Weighs: 1.3 pounds

Product Description
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

Back Cover Copy
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

Reader Reviews
The book reviews the use of artificial life techniques in solving a wide range of problems in high performance computing and mobile computing. The approaches are an interesting and fresh look at how new solution methodologies can be applied to deal with complex problems in the areas of parallel and mobile computing. I would highly recommend the book to any researcher who is interested in experimenting with new ideas and probably contemplating the use of a-life methods.