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Cloud Feedback Assistance Based Hybrid Evolution Algorithm for Optimal Data Solution

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Information Technology Convergence

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 253))

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Abstract

This paper develops a cloud based parallel and distributed evolutionary hybrid algorithm with feedback assistance to help planners solve the data optimal problems such as travel salesman problems. Each step and type of evolution algorithm is established via various virtual machines in cloud. The proposed feedback assistance is based on the fitness evaluation result and survival ratio of evolution algorithm. The feedback assistance can interact with the evolution algorithm and emphasize the process with more survival individuals in the next generation of evolution algorithm. Taking the advantage of cloud and the proposed feedback assistance, system users can take less effort on deploying both computation power and storage space. The convergency of optimal solution can be enhanced.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Information Engineering, National Formosa University, 632, Yunlin County, Taiwan

    Ming-Shen Jian, Fu-Jie Jhan & Kuan-Wei Lee

  2. Department of Information Communication, Asia University, 413, Taichung City, Taiwan

    Jun-Hong Shen

Authors
  1. Ming-Shen Jian
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  2. Fu-Jie Jhan
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  3. Kuan-Wei Lee
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  4. Jun-Hong Shen
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Corresponding author

Correspondence to Ming-Shen Jian .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Seoul University of Science & and Technology (SeoulTech), Seoul, Korea, Republic of (South Korea)

    James J. (Jong Hyuk) Park

  2. Dept. Information & Communication Engineering, Fukuoka Institute of Technology Fac. Information Engineering, Fukuoka, Japan

    Leonard Barolli

  3. Departament De Llenguatges I Sistemes Informàtics, Universitat Politècnica De Catalunya, Barcelona, Spain

    Fatos Xhafa

  4. Humanitas College, Kyung Hee University, Seoul, Korea, Republic of (South Korea)

    Hwa-Young Jeong

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Jian, MS., Jhan, FJ., Lee, KW., Shen, JH. (2013). Cloud Feedback Assistance Based Hybrid Evolution Algorithm for Optimal Data Solution. In: Park, J., Barolli, L., Xhafa, F., Jeong, HY. (eds) Information Technology Convergence. Lecture Notes in Electrical Engineering, vol 253. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6996-0_77

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  • DOI: https://doi.org/10.1007/978-94-007-6996-0_77

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-6995-3

  • Online ISBN: 978-94-007-6996-0

  • eBook Packages: EngineeringEngineering (R0)

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