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Differential Evolution: An Overview

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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 436))

Abstract

Differential evolution (DE) is one of the most influential optimization algorithms up-to-date. DE works through analogous computational steps as used by a standard evolutionary algorithm. Nevertheless, not like traditional Evolutionary Algorithms, the DE-variants agitate the current generation populace members with the scaled differences of indiscriminately preferred and dissimilar population members. Consequently, no discrete probability dissemination has to be utilized for producing the offspring. Ever since its commencement in 1995, DE has dragged the interest of numerous researchers around the globe ensuing in a lot of alternative of the fundamental algorithm with enhanced working. This paper introduces a comprehensive review of the basic conception of a DE and an inspection of its key alternatives and the academic studies carried out on DE up to now.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Lovely Professional University, Phagwara, Punjab, India

    Amritpal Singh

  2. Department of Computer Science, Amity University, Noida, Uttar Pradesh, India

    Sushil Kumar

Authors
  1. Amritpal Singh
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  2. Sushil Kumar
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Corresponding author

Correspondence to Amritpal Singh .

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. Chankyapuri, Rm 327, South Asian Univ, Akbar Bhawan, 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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Amritpal Singh, Sushil Kumar (2016). Differential Evolution: An Overview. 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 436. Springer, Singapore. https://doi.org/10.1007/978-981-10-0448-3_17

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  • DOI: https://doi.org/10.1007/978-981-10-0448-3_17

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0447-6

  • Online ISBN: 978-981-10-0448-3

  • eBook Packages: EngineeringEngineering (R0)

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