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General Information
    • ISSN: 1793-8236 (Online)
    • Abbreviated Title Int. J. Eng. Technol.
    • Frequency:  Quarterly 
    • DOI: 10.7763/IJET
    • Executive Editor: Ms.Yoyo Y. Zhou
    • Abstracting/ Indexing: Chemical Abstracts Services (CAS) EBSCO, Google Scholar, Ulrich Periodicals Directory, Crossref, ProQuest, Index CopernicusEI (INSPEC, IET).
    • E-mail: ijet@vip.163.com
Prof. T. Hikmet Karakoc
Anadolu University, Faculty of Aeronautics and Astronautics, Turkey

IJET 2009 Vol.1(2): 179-183 ISSN: 1793-8236
DOI: 10.7763/IJET.2009.V1.33

A Method for Scheduling Multi Processing Systems with Genetic Algorithm

Ali Pedram
Abstract—Methods and scheduling algorithm always a special importance in computer and solve the problem are part of their hard issues in computer science is to be considered. This is an article with the use of partition genetic algorithm classified section of the proposed a method that will be fitness the time and has convergence. This method on the basis of division and resolve and is based on a method to solve the problem multi processing scheduling systems by using this method of genetic algorithm try in the optimal time in the scheduling process in multi process systems. With this method of giving priorities to s process and the atmosphere they would seek to reduce genetic algorithm that cause proposed ideal speed in finding the optimal answer.

Index Terms—Genetic Algorithms, process scheduling, multi processing systems, divide & conquer

Department Computer .Islamic Azad University Abadan Branch, Abadan, Iran (ali.pedram2007@gmail.com).
Bit Error Rate, Coexistence, IEEE 802.11b, IEEE 802.15.4.


Cite: Ali Pedram, "A Method for Scheduling Multi Processing Systems with Genetic Algorithm," International Journal of Engineering and Technology vol. 1, no. 2, pp. 179-183, 2009.
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