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Erschienen in:
1993 | OriginalPaper | Buchkapitel
The Parallel Genetic Cellular Automata: Application to Global Function Optimization
verfasst von : Marco Tomassini
Erschienen in: Artificial Neural Nets and Genetic Algorithms
Verlag: Springer Vienna
Enthalten in: Professional Book Archive
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This work describes massively parallel genetic algorithms inspired by cellular automata models and by large, spatially distributed populations of individuals, as suggested by biological analogies. Models with strict locality and a variety of pseudo-diffusion models are presented. The models are applied to the the global optimization problem of multiextremal multimodal functions. They are tested on a suite of hard standard test functions. Results are then discussed for the various models taking into account the unusual population sizes, their diversity and the role of individual’s migration.