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An enhanced genetic algorithm with new mutation for cluster analysis

Author

Listed:
  • M. A. El-Shorbagy

    (Prince Sattam Bin Abdulaziz University
    Menoufia University)

  • A. Y. Ayoub

    (Menoufia University)

  • A. A. Mousa

    (Menoufia University
    Taif University)

  • I. M. El-Desoky

    (Menoufia University)

Abstract

This paper proposed a new methodology to perform cluster analysis based on genetic algorithm (GA). Firstly, the population of GA is initialized by k-means algorithm to reach the best centers of clusters. Secondly, the GA operators are applied. New mutation is proposed depending on the extreme points in clusters groups to overcome the limitations of k-means algorithm. Finally, the proposed approach is applied on a set of data consists of a non-overlapping data and large datasets with high dimensionality from machine learning repository (UCI). In addition an electrical application is used to measure the capability of our approach to solve real world application. The results proved the superiority of the new methodology.

Suggested Citation

  • M. A. El-Shorbagy & A. Y. Ayoub & A. A. Mousa & I. M. El-Desoky, 2019. "An enhanced genetic algorithm with new mutation for cluster analysis," Computational Statistics, Springer, vol. 34(3), pages 1355-1392, September.
    • Handle: RePEc:spr:compst:v:34:y:2019:i:3:d:10.1007_s00180-019-00871-5
    DOI: 10.1007/s00180-019-00871-5
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    References listed on IDEAS

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    1. El-Shorbagy, M.A. & Mousa, A.A. & Nasr, S.M., 2016. "A chaos-based evolutionary algorithm for general nonlinear programming problems," Chaos, Solitons & Fractals, Elsevier, vol. 85(C), pages 8-21.
    2. Abdelsalam, Ali M. & El-Shorbagy, M.A., 2018. "Optimization of wind turbines siting in a wind farm using genetic algorithm based local search," Renewable Energy, Elsevier, vol. 123(C), pages 748-755.
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    Cited by:

    1. M. A. El-Shorbagy & A. A. Mousa & M. A. Farag, 2019. "An intelligent computing technique based on a dynamic-size subpopulations for unit commitment problem," OPSEARCH, Springer;Operational Research Society of India, vol. 56(3), pages 911-944, September.

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