Solutions to Parallel and Distributed Computing Problems: Lessons from Biological Sciences (Hardcover)

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.