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Content Provider | IEEE Xplore Digital Library |
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Author | Wei Hongkai Wang Pingbo Cai Zhiming Fu Yinfeng |
Copyright Year | 2010 |
Abstract | In order to overcome the inefficiency shortcoming of traditional step-based searching method for extremum seeking in two-dimensional fractional Fourier domain, the chaos optimization method is introduced and applied successfully in fractional Fourier transform. To accelerate the convergence further, two improved chaos optimization methods are proposed. The performances of the proposed optimization methods are verified by comparing with step-based method and other intelligent optimization methods such as genetic algorithms, continuous ant colony algorithm and particle swarm optimization based on simulation. Results show that the second presented chaos optimization algorithm is more preferable considering computation efficiency, precision and resolution. |
Starting Page | 94 |
Ending Page | 98 |
File Size | 387085 |
Page Count | 5 |
File Format | |
ISBN | 9781424457243 |
e-ISBN | 9781424457250 |
DOI | 10.1109/ICSAP.2010.80 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2010-02-09 |
Publisher Place | India |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Chaos Ant colony optimization Fourier transforms Optimization methods fractional Fourier transform genetic algorithms particle swarm optimization Particle swarm optimization extremum seeking Convergence Genetic algorithms Chaotic communication continuous ant colony algorithm chaos optimization algorithm Acceleration Logistics |
Content Type | Text |
Resource Type | Article |
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