Real Parameter Optimization Using Levy Distributed Differential Evolution

  • Nanda Dulal Jana
  • Aditya Narayn Hati
  • Rajkumar Darbar
  • Jaya Sil
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8251)


Differential Evolution (DE) algorithm is a real parameter encoded evolutionary algorithm for global optimization. In this paper, Levy distributed DE (LevyDE) has been proposed. The main objective of LevyDE algorithm is to introduce a parameter control mechanism in DE based on levy distribution, a heavy tail distribution, for both the mutation and crossover operations. The main emphasis of this paper is to analyze the behavior and dynamics of the LevyDE and make a comparison with other standard algorithms such as DE/best/1/bin [1], DE/rand/1/bin [1] and ACDE [8] on basis of CEC’05 benchmark functions.


Differential Evolution Differential Evolution Algorithm Benchmark Function Mutation Strategy Heavy Tail Distribution 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Nanda Dulal Jana
    • 1
  • Aditya Narayn Hati
    • 1
  • Rajkumar Darbar
    • 2
  • Jaya Sil
    • 3
  1. 1.Dept of Information TechnologyNIT DurgapurDurgapurIndia
  2. 2.School of Information TechnologyIIT KharagpurKharagpurIndia
  3. 3.Dept of Computer Science & EngineeringBESUShibpurIndia

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