Optimization Of Thermodynamic Cycles For Gas Turbines Using Genetic Algorithms.

Lee, Kor Oon and Arunasalam, Parthiban and Ong, Kang Eu and Quadir, G. A. and Seetharamu, K. N. and Aswatha Narayana, P. A. and Abdullah, M. Z. and Azid, I. A. and Zainal Alauddin, Z. A. Optimization Of Thermodynamic Cycles For Gas Turbines Using Genetic Algorithms. Working Paper. Universiti Sains Malaysia.

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    Abstract

    The Darwin's theory of natural evolution is being used in the last one decade for optimization of many engineering systems in the name of genetic algorithms. In the present paper, genetic algorithms are used for the optimization of the gas turbine cycles. Based on thermodynamic consideration of a gas turbine plant, the pressure ratio is optimized with genetic algorithms for maximum efficiency or maximum net power density.

    Item Type: Monograph (Working Paper)
    Subjects: T Technology > TJ Mechanical engineering and machinery > TJ1 Mechanical engineering and machinery
    Divisions: Kampus Kejuruteraan (Engineering Campus) > Pusat Pengajian Kejuruteraan Mekanikal (School of Mechanical Engineering)
    Depositing User: ARKM Al Rashid Automasi
    Date Deposited: 24 Mar 2009 16:08
    Last Modified: 13 Jul 2013 11:56
    URI: http://eprints.usm.my/id/eprint/8618

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