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Solutions to Parallel and Distributed Computing Problems
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Table of 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.

About the Author

ALBERT Y. ZOMAYA, PHD, is a professor at the University of Western Australia, Perth, Australia.
FIKRET ERCAL, PHD, is a professor at Intelligent Systems Center, University of Missouri-Rolla.
STEPHAN OLARIU, PHD, is a professor at Old Dominion University, Norfolk, Virginia.

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