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Study of Intelligent Optimization Methods Applied in the Fractional Fourier Transform

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Abstract:

In order to overcome the inefficiency shortcoming of traditional step-based searching method for extremum seeking in two-dimensional fractional Fourier domain, some typical intelligent optimization methods such as genetic algorithms, continuous ant colony algorithm, particle swarm optimization and chaos optimization method are introduced and applied successfully in fractional Fourier transform. The performances of the global optimization methods are compared with step-based method based on simulation. Results show that the COA optimization algorithm is much more preferable considering computation efficiency, precision and resolution in all the above mentioned optimization methods

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Periodical:

Advanced Materials Research (Volume 461)

Pages:

323-328

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.461.323

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Online since:

February 2012

Authors:

Han Qing Wang, Ping Bo Wang, Shu Zong Wang, Mao Lin Li

Keywords:

Chaos Optimization Algorithm, Continuous Ant Colony Algorithm, Extremum Seeking, Fractional Fourier Transform (FrFT), Genetic Algorithm (GA), Particle Swarm Optimization Algorithm (PSO)

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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