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
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