An Anti-Maloperation System by Improved Chaos Immune Genetic Algorithm

Shao Song Wan; Jian Cao; Cong Yan

doi:10.4028/www.scientific.net/AMM.543-547.1926

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 543-547An Anti-Maloperation System by Improved Chaos...

An Anti-Maloperation System by Improved Chaos Immune Genetic Algorithm

Abstract:

The over-spread character and randomness of chaos can be used to initialize population and improve the searching speed, and the initial value sensitivity of chaos can be used to enlarge the searching space. In order to resolve these problems, we put forward a new design of the intelligent lock which is mainly based on the technology of wireless sensor network. To avoid the local optimization, the algorithm renews population and enhances the diversity of population by using density calculation of immune theory and adjusting new chaos sequence. The paper gives the circuit diagram of the hardware components based on single chip and describe how to design the software. The experimental results show that the immune genetic algorithm based on chaos theory can search the result of the optimization and evidently improve the convergent speed and astringency.

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Periodical:

Applied Mechanics and Materials (Volumes 543-547)

Pages:

1926-1929

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.543-547.1926

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Online since:

March 2014

Authors:

Shao Song Wan*, Jian Cao, Cong Yan

Keywords:

Algorithm (GA), Multilayer, Network, Structure

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References

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