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Cellular Genetic Algorithms defines a new class of optimization algorithms based on the concepts of structured populations and Genetic Algorithms (GAs). The authors explain and demonstrate the validity of these cellular genetic algorithms throughout the book with equal and parallel emphasis on both theory and practice.
Parallel Metaheuristics provides a single, up-to-date reference on parallel metaheuristic issues. This comprehensive book presents modern and ongoing research information on using, designing, and analyzing efficient models of parallel algorithms (numeric and real-time efficiency, algorithms, comparison of parallel models).
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