Zomaya, Albert Y. / Ercal, Fikret / Olariu, Stephan (eds.)
Solutions to Parallel and Distributed Computing Problems
Lessons from Biological Sciences
Wiley Series on Parallel and Distributed Computing
  1. Edition - November 2000
122.- Euro
2000. XVI, 272 Pages, Hardcover
- Handbook/Reference Book -
ISBN-10: 0-471-35352-3
ISBN-13: 978-0-471-35352-2 - John Wiley & Sons
Sample Chapter
Short description
Genetic algorithms, neural networks, Brownian motion, and DNA computing are ideas that have applications in many areas of science, including computer simulation of natural processes.
From the contents
Distributed Cellular Automata: Large-Scale Simulation of Natural Phenomena (P. Sloot, et al.).
Parallel Implementations of Evolutionary Algorithms (H. Schmeck, et al.).
Toward Hybrid Biologically Inspired Heuristics (E.-G. Talbi).
Nature-Inspired Optimization Algorithms for Parallel Simulations (A. Boukerche & S. Das).
An Introduction to Genetic-Based Scheduling in Parallel Processor Systems (A. Zomaya, et al.).
Mapping Tasks onto Distributed Heterogeneous Computing Systems Using a Genetic Algorithm Approach (M. Theys, et al.).
Evolving Cellular Automata-Based Algorithms for Multiprocessor Scheduling (F. Seredynski).
Parallel Task Mapping with Biological Computing Models (T. El-Ghazawi, et al.).
Scheduling Parallel Programs Using Genetic Algorithms (I. Ahmad, et al.).
Applications of Neural Networks to Mobile Communication Systems (A. Boukerche & M. Notare).
Index.
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