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A Hybrid Genetic Algorithm Based on Harmony Search and its Improving

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Informatics and Management Science I

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 204))

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Abstract

In order to deal with the shortages of simple genetic algorithm (GA) such as low convergence speed and prematurity, this chapter firstly introduced the main process of harmony search algorithm (HS). Then put forward a new hybrid algorithm based on it. This new algorithm integrated the harmony of HS with chromosome of GA appropriately. Furthermore, aiming at reducing computational complexity and saving time of the new algorithm, two improved strategies were given. The experimental results show the new algorithm and its improving are better than the simple genetic algorithm in solution quality, convergence speed and other indicators, and that two improved strategies have their own advantages respectively. It shows that the new hybrid algorithm and its improving are all feasible and effective.

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References

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Acknowledgments

This work was supported by Nature Science Foundation of China (60902054), and China Postdoctoral Science Foundation (20090460114, 201003758).

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Authors and Affiliations

  1. Graduate Student’s Brigade of Naval Aeronautical and Astronautical University, Yantai, 264001, Shangdong, China

    Wei -Wei Shi & Wei Han

  2. No.1 Department of Naval Aeronautical and Astronautical University, Yantai, 264001, Shangdong, China

    Wei -Chao Si

Authors
  1. Wei -Wei Shi
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  2. Wei Han
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  3. Wei -Chao Si
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Corresponding author

Correspondence to Wei -Wei Shi .

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Editors and Affiliations

  1. , College of Elementary Education, Chongqing Normal University, Chongqing, 400700, China, People's Republic

    Wenjiang Du

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© 2013 Springer-Verlag London

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Cite this paper

Shi, W.W., Han, W., Si, W.C. (2013). A Hybrid Genetic Algorithm Based on Harmony Search and its Improving. In: Du, W. (eds) Informatics and Management Science I. Lecture Notes in Electrical Engineering, vol 204. Springer, London. https://doi.org/10.1007/978-1-4471-4802-9_14

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  • DOI: https://doi.org/10.1007/978-1-4471-4802-9_14

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4801-2

  • Online ISBN: 978-1-4471-4802-9

  • eBook Packages: EngineeringEngineering (R0)

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