Abstract

In this paper, GENIE, a model based adaptable framework that facilitates rapid, performance evaluation of embedded systems, by seamlessly integrating a genetic algorithm to fine tune design parameters. Genetic evolvable network for intelligent embedded systems, (GENIE) provides a formal paradigm for specification of structural and behavioral aspects of embedded systems, an integrated model-based approach, and unified software environment for system design and simulation. The simple genetic algorithm is an optimization method based on the evolutionary process. This method is capable of handling large search spaces. This paper provides an overview of GENIE, discusses the model integrated computing philosophy, and illustrates the high-level modeling concepts being developed in the GENIE project for embedded systems design and evaluation.

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