The Research of Improved Wolf Pack Algorithm Based on Differential Evolution

  • Yingxiang WangEmail author
  • Minyou Chen
  • Tingli Cheng
  • Muhammad Arshad Shehzad Hassan
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 924)


Aiming at the problems of traditional wolf pack algorithm (WPA): easy to fall into local optimal, large computational resource cost and low robustness, an improved wolf pack algorithm based on differential evolution (DIWPA) is proposed. By introducing the search factor for search wolves, maximum number of raid wolves, adaptive siege step size and differential evolution strategy, the proposed algorithm can not only reduce the computational cost but also improve the global search ability. The DIWPA is used to conduct optimization test on 12 benchmark functions and compare to 3 typical optimization algorithms. The test results show that DIWPA has great robustness and global search ability, especially has excellent performance in multi-peak, high-dimension, indivisible functions.


Wolf pack algorithm Local optimal Differential evolution Robustness Global search ability 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Yingxiang Wang
    • 1
    Email author
  • Minyou Chen
    • 1
  • Tingli Cheng
    • 1
  • Muhammad Arshad Shehzad Hassan
    • 1
  1. 1.State Key Laboratory of Power Transmission Equipment and System Security and New Technology, School of Electrical EngineeringChongqing UniversityChongqingChina

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