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Modified Mutation Operators for Differential Evolution

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Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 130))

Abstract

Differential Evolution (DE) has emerged as a popular tool for solving global optimization problems occurring in various fields. However, like most of the population based random search techniques in their basic form, DE has some inherent drawbacks like slow and/or premature convergence, stagnation etc. which sometimes hinders its performance. In the present study we propose two new mutation schemes for DE to enhance its performance in terms of solution quality as well as convergence rate.

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Authors and Affiliations

  1. Indian Institute of Technology, Roorkee, India

    Pravesh Kumar & Millie Pant

  2. Millennium Institute of Technology, Saharanpur, India

    V. P. Singh

Authors
  1. Pravesh Kumar
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  2. Millie Pant
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  3. V. P. Singh
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Corresponding author

Correspondence to Pravesh Kumar .

Editor information

Editors and Affiliations

  1. , Department of Mathematics, Indian Institute of Technology Roorkee, Uttarakhand, Roorkee, 247667, India

    Kusum Deep

  2. Department of Mathematics and, Computer Science, Liverpool Hope University, Hope Park, Liverpool, L16 9JD, United Kingdom

    Atulya Nagar

  3. , Department of Paper Technology, Indian Institute of Technology Roorkee, Uttarakhand, Roorkee, 247667, India

    Millie Pant

  4. Information Technology and Management, ABV-Indian Institute of, 109, E- Block, Gwalior, 474010, India

    Jagdish Chand Bansal

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Kumar, P., Pant, M., Singh, V.P. (2012). Modified Mutation Operators for Differential Evolution. In: Deep, K., Nagar, A., Pant, M., Bansal, J. (eds) Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011. Advances in Intelligent and Soft Computing, vol 130. Springer, India. https://doi.org/10.1007/978-81-322-0487-9_56

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  • DOI: https://doi.org/10.1007/978-81-322-0487-9_56

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  • Publisher Name: Springer, India

  • Print ISBN: 978-81-322-0486-2

  • Online ISBN: 978-81-322-0487-9

  • eBook Packages: EngineeringEngineering (R0)

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