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Computational Intelligence in Data Mining - Volume 3 pp 251–260Cite as

Selection of Control Parameters of Differential Evolution Algorithm for Economic Load Dispatch Problem

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Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 33))

Abstract

Differential evolution (DE) is a population based heuristic search algorithm for global optimization capable of handling non differentiable, nonlinear and multi-modal objective functions. The performance of this type of heuristic algorithms is heavily dependent on the setting of control parameters as proper selection of the control parameters is very important for the success of the algorithm. In this paper, a study of control parameters on the performance of DE algorithm for economic load dispatch problem has been addressed. The effectiveness of the proposed method is illustrated on a standard IEEE 30 bus test system. The results of the effect of the variation of different strategy, control parameters are presented. It is observed that the DE algorithm may fail in finding the optimal value if the strategy and control parameters are not chosen carefully.

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Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, Veer Surendra Sai University of Technology (VSSUT), Burla, 768018, Odisha, India

    Narendra Kumar Yegireddy, Sidhartha Panda & Umesh kumar Rout

  2. Department of Electrical and Electronics Engineering, Lendi Institute of Engineering and Technology, Vizianagaram, Andhra Pradesh, India

    Rama Kishore Bonthu

Authors
  1. Narendra Kumar Yegireddy
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  2. Sidhartha Panda
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  3. Umesh kumar Rout
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  4. Rama Kishore Bonthu
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Corresponding author

Correspondence to Narendra Kumar Yegireddy .

Editor information

Editors and Affiliations

  1. School of Electrical and Information Engineering, University of South Australia, South Australia, Australia

    Lakhmi C. Jain

  2. Computer Science and Engineering, Veer Surendra Sai University of Technolo, Sambalpur, Odisha, India

    Himansu Sekhar Behera

  3. Computer Science & Engineering, Kalyani University, Nadia, West Bengal, India

    Jyotsna Kumar Mandal

  4. Dept. of Computer Science and Eng., National Institute of Technology Rourkela, Rourkela, India

    Durga Prasad Mohapatra

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Yegireddy, N.K., Panda, S., Rout, U.k., Bonthu, R.K. (2015). Selection of Control Parameters of Differential Evolution Algorithm for Economic Load Dispatch Problem. In: Jain, L., Behera, H., Mandal, J., Mohapatra, D. (eds) Computational Intelligence in Data Mining - Volume 3. Smart Innovation, Systems and Technologies, vol 33. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2202-6_22

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  • DOI: https://doi.org/10.1007/978-81-322-2202-6_22

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2201-9

  • Online ISBN: 978-81-322-2202-6

  • eBook Packages: EngineeringEngineering (R0)

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