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Population Segmentation-Based Variant of Differential Evolution Algorithm

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Proceedings of Fifth International Conference on Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 437))

Abstract

Recently, several strategies are proposed for offspring generation and for control parameter adaption to enhance the reliability and robustness of the differential evolution (DE) algorithm, whereas usually the population size is fixed throughout the evolution which results in unsatisfactory performance. In the current study, based on the status of solution-searching, a new variant differential evolution with population segment tuning (DEPT) is proposed to enhance the performance of DE algorithm. The performance of the proposed is validated on a set of eight standard benchmark problems and six shifted problems taken from literature in terms of number of function evaluations, mean error, and standard deviation. Also, the results are compared to DE as well as some state of the art.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Gurukula Kangri Vishwavidyalaya, Haridwar, India

    Pooja &  Praveena Chaturvedi

  2. Department of Mathematics, Amity University, Haryana, India

    Pravesh Kumar

Authors
  1. Pooja
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  2. Praveena Chaturvedi
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  3. Pravesh Kumar
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Corresponding author

Correspondence to Pooja .

Editor information

Editors and Affiliations

  1. Dept of Applied Sci & Eng, Indian Instit of Tech Roorkee, Roorkee, India

    Millie Pant

  2. Department of Mathematics, Indian Inst of Tech Roorkee, Roorkee, India

    Kusum Deep

  3. Dept of Mathematics, South Asian University New Delhi, New Delhi, India

    Jagdish Chand Bansal

  4. Department of Mathematics and Comp Sci, Liverpool Hope University, LIVERPOOL, United Kingdom

    Atulya Nagar

  5. Department of Mathematics, National Inst of Tech Silchar, Silchar, Assam, India

    Kedar Nath Das

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© 2016 Springer Science+Business Media Singapore

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Pooja, Praveena Chaturvedi, Pravesh Kumar (2016). Population Segmentation-Based Variant of Differential Evolution Algorithm. In: Pant, M., Deep, K., Bansal, J., Nagar, A., Das, K. (eds) Proceedings of Fifth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 437. Springer, Singapore. https://doi.org/10.1007/978-981-10-0451-3_37

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  • DOI: https://doi.org/10.1007/978-981-10-0451-3_37

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0450-6

  • Online ISBN: 978-981-10-0451-3

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