DocumentCode :
2060730
Title :
GENIE: A Genetic Algorithm Model Based Integrated Simulation Framework for Design of Embedded Systems
Author :
Northern, James, III ; Ribeiro, Miguel
Author_Institution :
Prairie View A&M Univ., Prairie View
fYear :
2007
fDate :
20-22 April 2007
Firstpage :
223
Lastpage :
227
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.
Keywords :
embedded systems; genetic algorithms; simulation; software engineering; GENIE; embedded systems; formal paradigm; genetic algorithm; genetic evolvable network; integrated simulation; optimization; Algorithm design and analysis; Computational modeling; Embedded software; Embedded system; Genetic algorithms; Intelligent networks; Intelligent structures; Intelligent systems; Optimization methods; Software systems; Computer architecture; embedded systems; genetic algoritms; optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Region 5 Technical Conference, 2007 IEEE
Conference_Location :
Fayetteville, AR
Print_ISBN :
978-1-4244-1280-8
Electronic_ISBN :
978-1-4244-1280-8
Type :
conf
DOI :
10.1109/TPSD.2007.4380385
Filename :
4380385
Link To Document :
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