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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Bibliographic Details
Call Number:Libro Electrónico
Other Authors: Zomaya, Albert Y., Erçal, Fikret, Olariu, Stephan
Format: Electronic eBook
Language:Inglés
Published: New York : John Wiley, ©2001.
Subjects:
Parallel processing (Electronic computers)
Electronic data processing > Distributed processing.
Parallélisme (Informatique)
Traitement réparti.
Aufsatzsammlung
Parallelverarbeitung
Verteiltes System
Soft Computing
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • Distributed cellular automata : large-scale simulation of natural phenomena
  • Parallel implementations of evolutionary algorithms
  • Towards hybrid biologically inspired heuristics
  • Nature-inspired optimization algorithms for parallel simulations
  • An introduction to genetic-based scheduling in parallel-processor systems
  • Mapping tasks onto distributed heterogenous computing systems using genetic algorithm approach
  • Evolving cellular automata-based algorithms for multiprocessor scheduling
  • Parallel task mapping with biological computing models
  • Scheduling parallel prgrams using genetic algorithms
  • Applications of neural networks to mobile communication systems.

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